A pilot study of sensory feedback by transcutaneous electrical nerve stimulation to improve manipulation deficit caused by severe sensory loss after stroke
© Kita et al.; licensee BioMed Central Ltd. 2013
Received: 18 May 2012
Accepted: 6 June 2013
Published: 13 June 2013
Sensory disturbance is common following stroke and can exacerbate functional deficits, even in patients with relatively good motor function. In particular, loss of appropriate sensory feedback in severe sensory loss impairs manipulation capability. We hypothesized that task-oriented training with sensory feedback assistance would improve manipulation capability even without sensory pathway recovery.
We developed a system that provides sensory feedback by transcutaneous electrical nerve stimulation (SENS) for patients with sensory loss, and investigated the feasibility of the system in a stroke patient with severe sensory impairment and mild motor deficit. The electrical current was modulated by the force exerted by the fingertips so as to allow the patient to identify the intensity. The patient had severe sensory loss due to a right thalamic hemorrhage suffered 27 months prior to participation in the study. The patient first practiced a cylindrical grasp task with SENS for 1 hour daily over 29 days. Pressure information from the affected thumb was fed back to the unaffected shoulder. The same patient practiced a tip pinch task with SENS for 1 hour daily over 4 days. Pressure information from the affected thumb and index finger was fed back to the unaffected and affected shoulders, respectively. We assessed the feasibility of SENS and examined the improvement of manipulation capability after training with SENS.
The fluctuation in fingertip force during the cylindrical grasp task gradually decreased as the training progressed. The patient was able to maintain a stable grip force after training, even without SENS. Pressure exerted by the tip pinch of the affected hand was unstable before intervention with SENS compared with that of the unaffected hand. However, they were similar to each other immediately after SENS was initiated, suggesting that the somatosensory information improved tip pinch performance. The patient’s manipulation capability assessed by the Box and Block Test score improved through SENS intervention and was partly maintained after SENS was removed, until at least 7 months after the intervention. The sensory test score, however, showed no recovery after intervention.
We conclude that the proposed system would be useful in the rehabilitation of patients with sensory loss.
There are 3.2 million stroke patients in Japan and this number is continually increasing . The most common impairments after stroke are motor deficits such as hemiparesis, which is experienced by more than 80% of stroke survivors . Deficits in sensory abilities, on the other hand, are variously reported to be 11-85% , 65% , or 85% . This variability is due to differences in assessment and the definition of sensory impairment. Severe sensory loss in the hand sometimes inhibits the patient’s ability to manipulate an object during daily activities, even when they have good overall motor function . As a result of motor and sensory deficits, about 40% of patients lose use of the arm . A great deal of time and effort is required to rehabilitate the affected limb and patients are often very focused on recovering as much arm function as possible once they have regained some mobility.
Sensory function, as well as motor function, is important for dexterity. Proprioceptive and haptic feedback, as well as vision, contributes to the learning and control of movements necessary to achieve a given task . Various passive stimulation approaches have been tested in an attempt to regain lost sensory function, and as a result, recover motor function including: electrical stimulation, such as neuromuscular stimulation , cutaneous electrical stimulation [9, 10], transcutaneous electrical nerve stimulation , intermittent pneumatic compression , thermal stimulation , and peripheral magnetic stimulation . However, these techniques were limited to improving tactile and kinesthetic sensation. There is insufficient evidence to support the efficacy of these intervention strategies in improving manipulation capability .
It is widely recognized that, for improvement of manipulation capability, it is important to practice specific tasks in addition to training for general improvement of muscle strength, range of motion, etc. Task-specific training requires simply practicing the task and is effective for patients whose arm function is adequate to perform the task [15–18]. According to this view, to improve manipulation capability of patients with sensory loss, active training to perform object manipulation would be important rather than, or in addition to passive stimulation to recover sensation. Providing sensory information through alternate pathways during manipulation tasks has the potential to improve a patient’s dexterity, even though the original sensory pathway does not recover. Several recent studies have proposed training regimes that utilize the visual feedback of hand force during manipulation to improve hand function of stroke patients [19–23]. For instance, Seo et al. proposed the use of repeated practice of pinch movements coupled with visual feedback of the force direction to correct the force of the digit perpendicular to the object’s surface . To reduce the excessive grip force of stroke patients, Quancy et al. proposed training that incorporates visual feedback of the patient’s actual grip force magnitude in relation to a target grip force . Although these studies did not focus on patients with sensory loss, visual feedback of force information may provide greater improvement of hand function to patients with sensory impairment, because it provides additional information otherwise unavailable to the patients. Patients with sensory impairment will often grip an object with excessive or insufficient pinch pressure, or provide inappropriate force direction, because they do not receive the appropriate sensory feedback and must rely solely on visual feedback [24, 25]. Feedback of force information will enable these patients to appropriately control the force necessary to manipulate objects.
To compensate for somatic sensation, however, patients with sensory loss have to concentrate on looking at the hand during movement of an object to achieve the motion. For instance, they have difficulty maintaining stability without watching their hand. Even if they are able to pick up and lift an object by looking at their hand, they drop the object once they look away from their hand. If the pinch pressure information is given as a visual cue, patients must attempt the difficult task of simultaneously looking at both their fingers and the display during manipulation. Therefore, it would be difficult for them to access additional force information through vision. If we employ a modality other than vision, such as tactile sensation, for feedback regarding pinch pressure, the patient would be able to concentrate on looking at the fingers while still receiving information about the pressure. Furthermore, to recognize force, receiving information through a similar tactile modality may be more natural than receiving this information visually.
In the present study, we hypothesized that lack of sensory feedback is a key factor in the non-use of the affected hand of stroke patients in their daily activities. We proposed a system that provides sensory feedback by transcutaneous electrical nerve stimulation (SENS) to improve manipulation capability of stroke patients with sensory loss. The system was designed to supplement sensory feedback during training to grasp or pinch objects, and to facilitate manipulation capability despite no significant recovery of haptic sensation. A stroke patient with severe sensory loss was trained to perform grasping or pinching tasks while receiving SENS, and we assessed the subsequent improvement of the patient’s manipulation capability, and long-term retention of any improvement.
Summary of functional assessments
Fugl-Meyer (score/total score)
Simple test for evaluating hand function (score/total score)
Nine hole peg test (time to complete)
Semmes-Weinstein monofilament test
Thumb finding test (0–3)
Moberg pickup test (time to complete)
The patient gave written informed consent before participating in the study, which was approved by the local ethics committee of Tokyo Bay Rehabilitation Hospital, Japan.
Sensory feedback by transcutaneous electrical nerve stimulation (SENS)
Electric current pulses were delivered between two electrodes by an electric stimulator (SEN-7203, Nihon Kohden, Tokyo, Japan) and an isolator (SS-104, Nihon Kohden). Commercial electrodes (Omron Elepuls, Omron, Kyoto, Japan) were cut to customize the shape and size (roughly circular with a diameter of 3 to 5 cm). The location of electrode pads was specific to the patient. Before we fixed the electrode location in each experiment, we tested several locations where sensation was preserved, for instance, the affected shoulder, unaffected shoulder, and upper arm of the unaffected side. We asked the patient which location was most comfortable to probe the strength of stimulation. The patient chose the base of the neck on the unaffected side in Experiment 1 and both sides of the base of the neck in Experiment 2. The distance between the centers of the electrodes was approximately 5 cm.
The force-sensing resistor is a polymer thick film device with a 5.0 mm diameter active area (Standard 400 FSR, Interlink electronics, Camarillo, CA, USA) and can detect force ranging from 0.1 to 100 N. The force-sensing resistor acts as a variable resistor, with resistance decreasing in response to an increase in the force applied to the active area. A battery (9 V), resistance (10 kΩ), and the force-sensing resistor were connected in series to detect the voltage of the resistance. If no pressure is applied to the force-sensing resistor, the resistance of the force-sensing resistor reaches an infinite value and the voltage of resistance becomes approximately 0. A monotonic increase in the voltage of resistance is observed when there is a decrease in the resistance of the force-sensing resistor due to an increase in the force applied to the active area. The pressure applied to the fingertip of the patient was approximately 0 to 40 N, which corresponded to the minimum and maximum voltage values. The voltage values varied within the maximum and minimum range according to the pressure applied. Although the relationship between pressure and voltage was not linear, the output voltage indicated the features of the patient’s grasping force.
For the present clinical use of the system, the force-sensing resistor was applied to the tip of the fingers. The sensor was small enough to fit on her fingertip, and the whole surface of the sensor was secured to the fingertip with tape to stabilize the connection between the sensor and the fingertip. The pressure was detected at a sampling rate of 1 kHz and was delivered to the computer through an AD board (ADA16-32/2 (CB averaged over a 150 ms time window.
where ip(nT) represents the sample at time nT of the averaged pressure signal, stimL is the lower threshold of the stimulation current (defined as the perception threshold), stimU is the upper threshold of the stimulation current (defined as the intensity of current that did not elicit muscle contraction and maximally 10 mA), ipL and ipU are the minimum and maximum integrated pressures observed when pinching an object, and stim(nT) is the magnification factor of the current at time nT. Prior to therapy each day, the patient grasped an object with minimum and maximum fingertip pressure to determine ipL and ipU. In addition, since stimL and stimU depend on individuals and vary from day to day because of skin resistance, the distance of the stimulation electrodes, and subtle difference in position of electrodes, we modulated the strength of stimulation and decided which strength was suitable for stimL and stimU each day.
In equation (4), f(nT) is set as a monophasic rectangular pulse sequence at an frequency of 50 Hz and duration of 300 μs. These parameters are appropriate for activating skin sensory sensation [36, 37]. The stimulation sequence was generated by an electric stimulator and applied to the electrode via an isolator. Figure 4b shows an example of the output voltage value and stimulation sequence, respectively. The stimulation sequence was modulated in real time by the amplitude of pressure.
Signal processing was performed using MATLAB 2007b (MathWorks, Natick, MA, USA).
Tasks and intervention periods
Experiment 2 started 56 days after the end of Experiment 1. To examine short-term and cumulative effects of training and its carry over more systematically, we established a 10-day intervention period including control and observation periods. The patient practiced pinching and lifting wooden cubes (2.5 cm per side), marbles, and buttons using the tips of the thumb and index finger of the affected hand. On the first day of Experiment 2 (Day 119), the patient received 1-hour training of the tip pinch task without SENS to assess baseline manipulation capability (control). The patient practiced the tip pinch task with SENS for 1 hour daily on Day 127, 129, 132, and 134 (intervention period). To assess long-term retention of improvement, the patient performed the tip pinch task for 1 hour per day without SENS on Day 167, 169, 181, 405 and 407 (observation period). The force-sensing resistors were attached to the tips of the thumb and the index finger on the affected hand. Two pairs of stimulation electrodes were placed on the skin on either side of the base of the neck (Figure 6b). The stimulation based on the thumb tip pressure was provided to the affected side of the neck, while that based on index fingertip pressure was provided to the unaffected side.
Besides, during the period over which Experiments 1 and 2 were performed, the patient also continued her conventional physical and occupational rehabilitation program. The rehabilitation program was conducted for 2 hours per day for 3 days a week and did not change throughout the study. To confirm that conventional physical and occupational therapy did not improve her manipulation capability further, we compared results of the STEF conducted on the first day of intervention (Day 1), before the patient first experienced SENS, with that of 1 week prior to Day 1. STEF scores were 6 and 7, respectively, showing that the last 3 days of conventional therapy did not improve manipulation capability, assessed by the STEF.
Assessment for each training task
Experiment 1: cylindrical grasp task
To assess the fluctuation in grip force during cylindrical grasp, we asked the patient to grasp and lift a 370 g can for approximately 10 s. We measured the output voltage values during this assessment task under two conditions: 1) before training – at this time the patient was assessed on her ability to perform the cylindrical grasp task without receiving SENS, and 2) after training – the patient trained while receiving SENS and was later assessed while also receiving SENS. Voltage was sampled at a rate of 50 Hz and was measured using a data acquisition system (PowerLab 16/30, AD Instruments, Sydney, Australia).
In equations (5) and (6), v is the output voltage value, s is the sampling rate, Δv(mT) is the rate of change at time mT, and k is the total number sampling points. For comparison with healthy function, the fluctuation index of the can grasp with the patient’s unaffected hand was measured and averaged across 11 assessment trials.
Experiment 2: tip pinch task
To assess the patient’s ability to perform the tip pinch task, we asked the patient to pinch and lift a wooden cube of side 2.5 cm for approximately 10 s. During this pinching and lifting task, we measured the output voltage values of the thumb and index finger. This assessment was done on the first day of the intervention period for this task (Day 127) without SENS before training, and then immediately after SENS was applied. The assessment was done again on the third day of the observation period (Day 181) without SENS before training. For comparison, the same assessment was completed for the unaffected thumb and index finger.
The Box and Block Test (BBT) was also used to assess the patient’s manipulation capability. During the intervention period, the patient always received SENS while training and the BBT was conducted under four conditions. The patient was assessed while not receiving SENS, both before training and after 60 min training. She was also assessed while receiving SENS, after both 30 and 60 min training. During the control and observation period, the BBT was assessed at three times during which the patient was not receiving SENS: 1) before training; 2) after 30 min training; and 3) after 60 min training.
Clinical assessment of motor and sensory function
Table 1 summarizes the results of the clinical assessment of the patient before and after the experiments. The FMA score for upper extremity motor function was 60 both before and after the experiments. This indicates that the patient’s upper extremity motor impairment was mild even before the experiments. She was unable to detect any sensation in the left fingertips even with the largest monofilament (1.142 mm in diameter) in the SWMT, and was unable to do so even after the experiments. The patient’s TFT score was 3, indicating that she was unable to find her left thumb before and after the experiments. The patient was not able to finish the MPT with her eyes closed. In addition, her joint position sense, vibratory perception sense, and joint motion sense of her left shoulder, elbow and wrist were found to be completely or severely lost both before and after the experiments. These results indicate that she had neither superficial sensation nor proprioception in the left hand or fingers before the experiments, and that her sensation itself was not improved by the experiments.
Experiment 1: cylindrical grasp task
Figure 8b shows the output voltage values of the affected thumb during a can grasp task assessed without SENS before training on Day 1. The voltage value was not stable and the patient dropped the can at about 9–11 s. Figure 8c indicates the output voltage values of the affected thumb assessed with SENS after 1-hour grasp training on Day 1. Even after training, the patient still dropped or nearly dropped the can at around 2, 5, 7 and 10 s. These results suggest that, on Day 1, the grip force of the affected hand were unstable and the fluctuation in grip force was not reduced even after training.
We investigated the long-term improvement effects of the intervention. Figure 8d shows the output voltage values of the affected thumb during the can grasp task assessed without SENS before training on Day 63. Figure 8e indicates those with SENS after training on Day 63. The fluctuation of the voltage value before training as well as after the training was smaller than that on Day 1.
Experiment 2: tip pinch task
Fingertip force during pinching and lifting task
Box and Block Test (BBT)
During the intervention period, we investigated the effect of training with SENS on the patient’s manipulation capability. The BBT score assessed with SENS after 60 min training was increased compared with that assessed without SENS before training each day (Figure 11b). Although the score assessed without SENS after 60 min training was lower than the score assessed with SENS after 60 min training, it was still higher than that assessed without SENS before training. In addition, the score before training gradually increased through the intervention period, suggesting a long-term training effect. We also investigated the long-term retention of the improvement in the patient’s manipulation capability. Figure 11c shows the BBT score assessed without SENS before training throughout the control, intervention and observation periods, plotted against the interval scale of time. Throughout the observation period, the patient maintained an equal or higher BBT score compared with that at the end of the intervention period.
Feasibility of SENS
Finally, no adverse events occurred during the experiments. The patient did not experience much difficulty in executing the tasks and appeared to enjoy the training with SENS. Thus, the feasibility of task-specific training with SENS was confirmed.
This study proposes a novel rehabilitation technique for stroke patients using transcutaneous electrical nerve stimulation. The technique, which we call sensory feedback by transcutaneous electrical nerve stimulation (SENS), compensates for the lost pressure sensation of the fingertips. We conducted a clinical case study of a stroke patient with severe sensory loss, and confirmed the feasibility of the proposed system.
Cylindrical grasp training with SENS gradually stabilizes the grip force. After a 2-month intervention period, the patient was able to maintain a stable fingertip pressure during the grasp task, even without SENS. The tip pinch task, however, was still difficult for her without SENS, and the thumb and index finger did not contact the surface of the object properly. When the patient executed the tip pinch task with SENS, the pinch pressure immediately stabilized. After the patient practiced the tip pinch with SENS, her manipulation capability assessed by the BBT score was also improved even after SENS was removed, for at least 7 months after the intervention period. Before the patient started training with SENS, she continued a conventional physical and occupational rehabilitation program for 3 days a week for 21 months after the recovery phase. However, her manipulation capability was largely unchanged with conventional therapies. In general, the recovery phase is from several weeks to 6 months after stroke onset, and survivors continue their rehabilitation in the chronic phase to maintain any improved function acquired during the recovery phase. Therefore, in this study we assumed that the improvement of manipulation capability of the patient was due to training with SENS, and not due to conventional therapies.
The fact that the patient was able to achieve tip pinch immediately after SENS was applied demonstrates the importance of sensory feedback information in dexterous manipulation of objects. The role of sensory function on motor control has been investigated in deafferented patients and by blocking sensory input during motion by ischemia or anesthesia [38–41]. Though the simple output of muscle power or joint motion is possible without proprioceptive and haptic feedback, the loss of sensory feedback causes incoordination between multiple joints, reduces accuracy in motion direction and preshaping of the hand, and interrupts adaptation to environment during motion. The patient in this study was able to achieve simple hand motions, such as flexion and extension of joints, as assessed by FMA. Nevertheless, the lack of sensory feedback caused poor performance in manipulation tasks, which is in accordance with previous studies. Biological movement consists of both feedforward and feedback components, but dexterity likely depends mainly on feedback control [42–44]. A dependency of dexterity on feedback control was supported by the present study which demonstrated that the feedback control loop was improved by sensory feedback from SENS, and this improved feedback control in turn provided immediate improvement of manipulation. Similar improvement of manipulation has been reported for sensory feedback in studies of the myoelectric prosthetic hand which can provide touch sensation of the fingers or palm [45–48]. For instance, a user of this prosthetic hand reduced contact force of the fingers during grasping when receiving force feedback information through vibrotactile stimulation . The strength of the vibrotactile stimulation was correlated with the hand force. Similarly, Stepp et al. reported that virtual object manipulation by healthy subjects was improved more when provided with both visual and vibrotactile feedback compared with visual feedback alone . The patient in this study had already received extensive physical and occupational therapy prior to experiments. However, her manipulation capabilities were not significantly changed by these conventional processes. The patient might have depended excessively on visual feedback and applied too much feedback gain, causing unstable force control during object manipulation. Our results suggested that force feedback in addition to visual feedback is crucial to improve manipulation capabilities, and the proposed SENS system might be useful for sensory assistance. An immediate effect of SENS was not observed during cylindrical grasp training. This could possibly be because the patient had learned how to use feedback information from SENS, and had reconstructed a feedback loop using SENS at this initial phase of training.
The improvement and retention of the patient’s manipulation capability compared with training without SENS suggests that the patient learned how to manipulate objects through training with SENS. Because sensory feedback was not available during the observation period, the patient had to control force using the learned feedforward control instead of the feedback control strategy using SENS information. To produce desired force in a feedforward manner, an internal model must compute the necessary motor command before the movement can be initiated. Again, sensory feedback plays an important role in learning such mapping between motor command and force . Several previous studies demonstrate impairment of motor learning due to a lack of sensory feedback. For instance, monkeys with a lesion of the hand area in the somatosensory cortex of one hemisphere of the brain had severe difficulty in learning the new skills with the hand contralateral to the ablated somatosensory cortex . Patients deprived of limb proprioception because of large-fiber sensory neuropathy experience great difficulty in reaching a target only 10 centimeters from their hand . This suggests the possibility that the deprivation of sensory input not only prevents learning of new skills but also causes the degradation of already existing motor skill, or internal models. In the current study, the patient might have developed a new internal model or might have recalibrated an existing internal model by training with SENS feedback. Subsequently, the patient might have become able to generate desired force without sensory feedback, through recovery of feedforward control. With regard to the improvement in manipulation capability, there is also the possibility that training with SENS allowed the subject to use remaining sensory feedback in an enhanced way, which could not be detected by standard clinical scales.
The improvement rate of the BBT score was higher when the patient practiced the tip pinch task of various objects with SENS. In rehabilitation for stroke patients, it is widely recognized that task-specific practice is important for improvement of manipulation capability, in addition to training for general improvement of muscle strength, range of motion, etc. For instance, constraint induced therapy (CIMT) is known to be an effective rehabilitation therapy that improves upper extremity function in stroke through task-specific training . Even after the training without SENS, the BBT score increased, supporting the importance of also using task-specific training for treatment of stroke patients with sensory loss. The improvement in the BBT score was greater when SENS was applied during training, indicating that task-specific training of pinching various objects in combination with sensory feedback enhanced motor learning of the patient. Although manipulation capability gradually improved over the training with SENS, sensory function did not recover. Regaining lost sensory pathways and recovering sensation seems to be difficult . Therefore, training focusing on motor learning, rather than recovery of sensation, would be more effective for severe sensory loss patients to recover daily use of the affected hand. Kottke et al.  defined an engram as a sequence of motor commands for muscles and described that thousands of repetitive motions could enhance the engram. The repetitive grasping and pinching training using various objects in this study contributed to the improvement in the patient’s manipulation capability.
Because the STEF was conducted as one of the clinical assessments before Experiment 1 and after Experiment 2, and the objects used in the STEF were not used in the training with SENS, the improvement of STEF scores was considered the result of generalization of acquired manipulation capability to different objects. Additionally, the patient reported that she used her affected hand more often in daily activities. For example, she is now holding a showerhead with her affected hand while shampooing her hair, and is holding food ingredients with her affected hand when she cuts it with a knife. These findings indicate that acquired manipulation capability was generalized to tasks outside those in the current experiments.
We choose transcutaneous electrical nerve stimulation for sensory feedback because electrical stimulation is widely used as a treatment in hospitals. Other benefits of electrical stimulation are as follows [54, 55]. First, it is possible to make the whole system smaller and lighter so that patients can use the system not only at hospital but also at their home. Second, it does not require consideration of the resonance characteristic of the stimulator, which is a problem in mechanical stimulation system such as vibrotactile or pressure stimulation. Third, since patients need to wear only thin pads for electrical stimulation, limitation for body movement is reduced compared with other stimulation methods. Several studies have already tested the use of other modalities to provide sensory feedback information. Visual feedback of hand force was shown to contribute to force control when stroke patients manipulate objects [19–23], and auditory feedback of finger tactile information was shown to contribute to the recovery of touch sensation after neural repair [56–58]. These results indicate that other feedback methods, such as mechanical, visual, and sound stimulation, may also help improve the manipulation capability of patients with severe sensory loss, and additional work is required to investigate which feedback method is more efficient.
SENS can also be applied to other parts of the body. For instance, we can set force-sensing resistors on the soles of the feet and provide contact pressure information during walking. Nor is SENS limited to stroke patients but is also applicable to a wide range of patients with sensory disturbances.
Limitations of this study include the small sample size without control, lack of kinematic analysis and lack of investigation regarding the real amount of use of the affected hand in daily activities. Furthermore, most stroke patients have both motor and sensory deficit, and the current study did not investigate whether SENS could be applied to the entire stroke patient population. Therefore, research in a larger cohort of patients is required to properly evaluate the efficacy of the system. Furthermore, the present system is so large that it can be used only in a laboratory or hospital setting. In future studies, we aim to increase the number of participants recruited, conduct long-term follow-up, use appropriate clinical assessment measures to evaluate the amount of use of the affected hand, and develop a smaller system for use at home.
In this study, we developed a system that provides sensory feedback by transcutaneous electrical nerve stimulation (SENS) for stroke patients with sensory loss. A stroke patient with severe sensory loss was trained to perform cylindrical grasp and tip pinch tasks with SENS, and the feasibility of SENS was assessed. Results demonstrated that the patient’s manipulation capability was improved through training with SENS and she maintained the manipulation capability even after SENS was removed, despite there being no recovery of sensation. We conclude that because SENS is very simple, it may be a valuable contribution to the rehabilitation of patients with sensory loss.
This research was supported in part by a Grant-in-Aid for Japan Society for the Promotion of Science (JSPS) Fellows, a Funding Program for Next Generation World-Leading Researchers, and by the Strategic Research Program for Brain Sciences “Brain Machine Interface Development” of the Ministry of Education, Culture, Sports, Science and Technology of Japan.
- Suzuki K: Calculation of stroke events in Japan from 2005 to 2055. Clinic All-Round 2009,58(2):194-198. (in Japanese)Google Scholar
- The Royal College of Physicians Intercollegiate Stroke Working Party: National clinical guideline for stroke. 3rd edition. London: Royal College of Physicians; 2008.Google Scholar
- Yekutiel M: Sensory re-education of the hand after stroke. London and Philadelphia: Whurr Publishers Ltd.; 2000.Google Scholar
- Carey LM, Matyas TA, Oke LE: Sensory loss in stroke patients: effective training of tactile and proprioceptive discrimination. Arch Phys Med Rehabil 1993,74(6):602-611.View ArticlePubMedGoogle Scholar
- Kim JS, Choi-Kwon S: Discriminative sensory dysfunction after unilateral stroke. Stroke 1996,27(4):677-682.View ArticlePubMedGoogle Scholar
- Doyle S, Bennett S, Fasoli SE, McKenna KT: Interventions for sensory impairment in the upper limb after stroke. Cochrane Database Sys Rev 2010., 6: CD006331Google Scholar
- Huang FC, Gillespie RB, Kuo AD: Visual and haptic feedback contribute to tuning and online control during object manipulation. J Mot Behav 2007,39(3):179-193.View ArticlePubMedGoogle Scholar
- Mann GE, Burridge JH, Malone LJ, Strike PW: A pilot study to investigate the effects of electrical stimulation on recovery of hand function and sensation in subacute stroke patients. Neuromodulation 2005,8(3):193-202.View ArticlePubMedGoogle Scholar
- Peurala SH, Pitkänen K, Sivenius J, Tarkka IM: Cutaneous electrical stimulation may enhance sensorimotor recovery in chronic stroke. Clin Rehabil 2002,16(7):709-716.View ArticlePubMedGoogle Scholar
- Yozbatiran N, Donmez B, Kayak N, Bozan O: Electrical stimulation of wrist and fingers for sensory and functional recovery in acute hemiplegia. Clin Rehabil 2006,20(1):4-11.View ArticlePubMedGoogle Scholar
- Cuypers K, Levin O, Thijs H, Swinnen SP, Meesen RL: Long-term TENS treatment improves tactile sensitivity in MS patients. Neurorehabil Neural Repair 2010,24(5):420-427.View ArticlePubMedGoogle Scholar
- Cambier DC, De Corte E, Danneels LA, Witvrouw EE: Treating sensory impairments in the post-stroke upper limb with intermittent pneumatic compression. Clin Rehabil 2003,17(1):14-20.View ArticlePubMedGoogle Scholar
- Chen JC, Liang CC, Shaw FZ: Facilitation of sensory and motor recovery by thermal intervention for the hemiplegic upper limb in acute stroke patients: a single-blind randomized clinical trial. Stroke 2005,36(12):2665-2669.View ArticlePubMedGoogle Scholar
- Heldmann B, Kerkhoff G, Struppler A, Havel P, Jahn T: Repetitive peripheral magnetic stimulation alleviates tactile extinction. Neuroreport 2000,11(14):3193-3198.View ArticlePubMedGoogle Scholar
- French B, Thomas LH, Leathley MJ, Sutton CJ, McAdam J, Forster A, Langhorne P, Price CI, Walker A, Watkins CL: Repetitive task training for improving functional ability after stroke. Cochrane Database Syst Rev 2007., 4: CD006073Google Scholar
- Dean CM, Shepherd RB: Task-related training improves performance of seated reaching tasks after stroke. A randomized controlled trial. Stroke 1997,28(4):722-728.PubMedGoogle Scholar
- Michaelsen SM, Dannenbaum R, Levin MF: Task-specific training with trunk restraint on arm recovery in stroke: randomized control trial. Stroke 2006,37(1):186-192.View ArticlePubMedGoogle Scholar
- Thielman GT, Dean CM, Gentile AM: Rehabilitation of reaching after stroke: task-related training versus progressive resistive exercise. Arch Phys Med Rehabil 2004,85(10):1613-1618.View ArticlePubMedGoogle Scholar
- Seo NJ, Fischer HW, Bogey RA, Rymer WZ, Kamper DG: Use of visual force feedback to improve digit force direction during pinch grip in persons with stroke: a pilot study. Arch Phys Med Rehabil 2011,92(1):24-30.View ArticlePubMedGoogle Scholar
- Quaney BM, He J, Timberlake G, Dodd K, Carr C: Visuomotor training improves stroke-related ipsilesional upper extremity impairments. Neurorehabil Neural Repair 2010,24(1):52-61.View ArticlePubMedGoogle Scholar
- Kurillo G, Gregoric M, Goljar N, Bajd T: Grip force tracking system for assessment and rehabilitation of hand function. Technol Health Care 2005,13(3):137-149.PubMedGoogle Scholar
- Jack D, Boian R, Merians AS, Tremaine M, Burdea GC, Adamovich SV, Recce M, Poizner H: Virtual reality-enhanced stroke rehabilitation. IEEE Trans Neural Syst Rehabil Eng 2001,9(3):308-318.View ArticlePubMedGoogle Scholar
- Kriz G, Hermsdörfer J, Marquardt C, Mai N: Feedback-based training of grip force control in patients with brain damage. Arch Phys Med Rehabil 1995,76(7):653-659.View ArticlePubMedGoogle Scholar
- Aruin AS: Support Support-specific modulation of grip force in individuals with hemiparesis. Arch Phys Med Rehabil 2005,86(4):768-775.View ArticlePubMedGoogle Scholar
- Blennerhassett JM, Matyas TA, Carey LM: Impaired discrimination of surface friction contributes to pinch grip deficit after stroke. Neurorehabil Neural Repair 2007,21(3):263-272.View ArticlePubMedGoogle Scholar
- Kita K, Takeda K, Osu R, Ushiba J, Sakata S, Otaka Y: A sensory feedback system utilizing cutaneous electrical stimulation for stroke patients with sensory loss. In proceedings of the International Conference on Rehabilitation Robotics. Zurich; 2011. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5975489&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5975489Google Scholar
- Fugl-Meyer AR, Jääskö L, Leyman I, Olsson S, Steglind S: The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med 1975,7(1):13-31.PubMedGoogle Scholar
- Duncan PW, Propst M, Nelson SG: Reliability of the Fugl-Meyer assessment of sensorimotor recovery following cerebrovascular accident. Phys Ther 1983,63(10):1606-1610.PubMedGoogle Scholar
- Oxford Grice K, Vogel KA, Le V, Mitchell A, Muniz S, Vollmer MA: Adult norms for a commercially available Nine Hole Peg Test for finger dexterity. Am J Occup Ther 2003,57(5):570-573.View ArticlePubMedGoogle Scholar
- Moberg E: Objective methods for determining the functional value of sensibility in the hand. J Bone Joint Surg Br 1958,40-B(3):454-476.PubMedGoogle Scholar
- Kaneko T, Muraki T: Development and standardization of the hand function test. Bull Allied Med Sci 1990, 6: 49-54.Google Scholar
- Mathiowetz V, Volland G, Kashman N, Weber K: Adult norms for the Box and Block Test of manual dexterity. Am J Occup Ther 1985,39(6):386-391.View ArticlePubMedGoogle Scholar
- Bell-Krotoski J, Tomancik E: The repeatability of testing with Semmes-Weinstein monofilaments. J Hand Surg Am 1987,12(1):155-161.View ArticlePubMedGoogle Scholar
- Prescott RJ, Garraway WM, Akhtar AJ: Predicting functional outcome following acute stroke using a standard clinical examination. Stroke 1982,13(5):641-647.View ArticlePubMedGoogle Scholar
- Yancosek KE, Howell D: A Narrative Review of Dexterity Assessments. J Hand Ther 2009,22(3):258-269.View ArticlePubMedGoogle Scholar
- Chipchase LS, Schabrun SM, Hodges PW: Peripheral electrical stimulation to induce cortical plasticity: a systematic review of stimulus parameters. Clin Neurophysiol 2011,122(3):456-463.View ArticlePubMedGoogle Scholar
- Kaczmarek KA, Webster JG, Bach-y-Rita P, Tompkins WJ: Electrotactile and vibrotactile displays for sensory substitution systems. IEEE Trans Biomed Eng 1991,38(1):1-16.View ArticlePubMedGoogle Scholar
- Drewing K, Stenneken P, Cole J, Prinz W, Aschersleben G: Timing of bimanual movements and deafferentation: implicications for the role of sensory movement effects. Exp Brain Res 2004,158(1):50-57.View ArticlePubMedGoogle Scholar
- Bernier PM, Chua R, Bard C, Franks IM: Updating of an internal model without proprioception: a deafferentation study. Neuroreport 2006,17(13):1421-1425.View ArticlePubMedGoogle Scholar
- Sarlegna FR, Gauthier GM, Bourdin C, Vercher JL, Blouin J: Internally driven control of reaching movements: a study on a proprioveptively deafferented subject. Brain Res Bull 2006,69(4):404-415.View ArticlePubMedGoogle Scholar
- Stenneken P, Prinz W, Bosbach S, Aschersleben G: Visual proprioception in the timing of movements: evidence from deafferentation. Neuroreport 2006,17(5):545-548.View ArticlePubMedGoogle Scholar
- Todorov E, Jordan MI: Optimal feedback control as a theory of motor coordination. Nat Neurosci 2002,5(11):1226-1235.View ArticlePubMedGoogle Scholar
- Scott SH: Optimal feedback control and the neural basis of volitional motor control. Nat Rev Neurosci 2004,5(7):532-546.View ArticlePubMedGoogle Scholar
- Diedrichsen J, Shadmehr R, Ivry RB: The coordination of movement: optimal feedback control and beyond. Trends Cogn Sci 2010,14(1):31-39.PubMed CentralView ArticlePubMedGoogle Scholar
- Carrozza MC, Cappiello G, Micera S, Edin BB, Beccai L, Cipriani C: Design of a cybernetic hand for perception and action. Biol Cybern 2006,95(6):629-644.PubMed CentralView ArticlePubMedGoogle Scholar
- Kato R, Yokoi H, Arieta AH, Yu W, Arai T: Mutual adaptation among man and machine by using f-MRI analysis. Rob Aut Sys 2009,57(2):161-166.View ArticleGoogle Scholar
- Pylatiuk C, Kargov A, Schulz S: Design and evaluation of a low-cost force feedback system for myoelectric prosthetic hands. J Prosthet Orthot 2006, 19: 57-61.View ArticleGoogle Scholar
- Stepp CE, Matsuoka Y: Relative to direct haptic feedback, remote vibrotactile feedback improves but slows object manipulation. Proc 23nd Annu Int Conf IEEE Eng Med Biol Soc 2010, 2089-2092. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5626120&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5626120Google Scholar
- Wolpert DM, Kawato M: Multiple paired forward and inverse models for motor control. Neural Netw 1998,11(7–8):1317-1329.View ArticlePubMedGoogle Scholar
- Pavlides C, Miyashita E, Asanuma H: Projection from sensory to the motor cortex is important in learning motor skills in the monkey. J Neurophysiol 1993, 70: 733-741.PubMedGoogle Scholar
- Ghez C, Gordon J, Ghilardi MF: Impairments of reaching movements in patients without proprioception. II. Effects of visual information on accuracy. J Neurophysiol 1995, 73: 361-372.PubMedGoogle Scholar
- Wolf SL, Winstein CJ, Miller JP, Taub E, Uswatte G, Morris D, Giuliani C, Light KE, Nichols-Larsen D: Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial. JAMA 2006,296(17):2095-2104.View ArticlePubMedGoogle Scholar
- Kottke FJ, Halpern D, Easton JK, Ozel AT, Burrill CA: The training of coordination. Arch Phys Med Rehabil 1978,59(12):567-572.PubMedGoogle Scholar
- Kajimoto H, Inami M, Kawakami N, Tachi S: SmartTouch: Electric skin to touch the untouchable. IEEE Comput Graph Appl 2004,24(1):36-43.View ArticlePubMedGoogle Scholar
- Kajimoto H, Kawakami N, Tachi S: Psychophysical evaluation of receptor selectivity in electro-tactile display. In Proceeding of 13th International Symposium on Measurement and Control in Robotics. Madrid; 2003. http://www.imeko.org/index.htm?/pastconf.phpGoogle Scholar
- Rosén B, Lundborg G: Enhanced sensory recovery after median nerve repair using cortical audio-tactile interaction. A randomised multicentre study. J Hand Surg Eur Vol 2007,32(1):31-37.View ArticlePubMedGoogle Scholar
- Dellon A: Evaluation of sensibility and re-education of sensation in the hand. Baltimore: Williams and Wilkins; 1981.Google Scholar
- Parry CB, Salter M: Sensory re-education after median nerve lesions. Hand 1976,8(3):250-257.View ArticlePubMedGoogle Scholar
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