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Table 6 Functional neuroimaging systems. Neuroimaging hardware and related signal processing and analysis. ‘–’ indicates that the authors gave no information on the respective matter

From: A review of combined functional neuroimaging and motion capture for motor rehabilitation

Hardware

Signal processing

References

Technology

Sensor number

Sensor position

Sensor type

Sample rate

Feature domain

Filter

Segmentation

Artifact correction/rejection

Feature extraction

Features

EEG

3

Prefrontal

Passive dry

–

–

–

–

–

–

Attention level

[45]

Central

Dry foam

512 Hz

Frequency

–

–

–

–

Theta/Beta ratio

[46]

≤ 16

Frontal, central

Active

256 Hz

Frequency

–

Moving window (1 s)

–

CPS for 8–24 Hz

SVM classification

Rest/movement intention maximum joint jerk

Kinematics

[43]

–

500 Hz

Time

Band-pass [0.15–20 Hz]

Movement onset [− 2.5 s, 1 s]

Statistical trial rejection

Baseline correction

Inclusion of C3 or C4

–

MRCP

[50]

Whole

Active wet

–

(1) Time; (2) Time-frequency

Band-pass [0.5–40 Hz]

Movment onset [− 5 s, 1 s]

1,2) ICA artifact correction

Manual artifact rejection

Inclusion of C3 or C4

–

(1) MP

(2) Maximum ERD

[41]

≤ 32

Frontal, central, parietal, occpitial

Active wet

256 Hz

(1) Time

(2) Time-frequency

(1) Low-Pass [1 Hz]

(2) Band-pass [6 - 32 Hz]

(1) Movement onset [− 3 s, − 2 s]

(2) Movement onset [− 3 s, − 0.5 s]

–

(1) Dominant channel selection, matched filter

(2) Welch’s method, channel/frequency pairs selection, classification (Naive Bayes)

(1,2) Logistic regression of 1() and (2)

Movement intention

[40]

Whole

Passive wet

500 Hz

Time-frequency

–

Movment onset [− 5 s, 18 s]

EOG-based artifact correction

Manual trial rejection

Baseline correction

(1) Band-pass filter [Dominant alpha frequency − 1 Hz/+ 1 Hz]

(2) Band-pass filter [14.5 Hz, 24,5 Hz]

Rectification

(1) Alpha-ERD

(2) Beta-ERD

[39]

250 Hz

Frequency

Band-pass [0.5 Hz–100 Hz]

–

Inclusion of central and front-central areas

EOG-based artifact correction

–

Spatial distrubution of beta-band and mu-rythmn

[55]

≤ 64

Whole

Active wet

5000 Hz

Time

Band-pass [0.05 Hz–2 Hz]

Force onset [− 2.5 s, 0.5 s]

Inclusion of frontal, central, and parietal areas

Manual artifact rejection

–

MRCP

[47]

100 Hz

Non-Linear

Band-pass [0.1–3 Hz]

–

EOG-based artifact correction

Exclusion of peripheral channels

Standardize

UKF decoder

Predicted joint angles

[48]

1024 Hz

Time

High-pass [0.1 Hz]

Visual stimulus [− 0.4 s, 1.4 s]

Statistical channel rejection

Manual artifact rejection

ICA artifact rejection

DIPFIT

Baseline correction

Downsampling

ERP microstate extraction Microstate selection

LORETA

Microstate

[54]

Active

1000 Hz

Non-Linear

Band-pass [0.1 Hz–3 Hz]

Walking stop/start (between 6 s to 6 min)

ASR

Exclusion of peripheral channels

Detrend

Standardize

PCA

UKF decoder

Predicted joint angles and velocity

[44]

500 Hz

Time-frequency

Band-pass [1–40 Hz]

–

Manual channel correction

Manual artifact rejection

SVD

Morlet wavelet for each SVD topography

Coefficient variation for delta, theta, alpha, and beta band

Resting-state SVD components for delta, theta, alpha and beta band

[52]

≤ 128

Whole

Active wet

500 Hz

Frequency

–

Trail start [7.5 s, 17.5 s]

Manual channel rejection

ICA artifact rejection

–

Band power

[49]

1000 Hz

Time

High-pass [1 Hz]

Low-pass [40 Hz]

Heel strike [− 0.5 s, 1.2 s]

Statistical trial/channel rejection

–

ERPs

[42]

Passive wet

1024 Hz

Time-frequency

Notch-filter [50 Hz]

Band-pass [0.5 Hz–200 Hz]

Movement onset [− 2 s, 4 s]

Manual artifact rejection

Statistical channel rejection

InfoMax artifact rejection

Co-registration of EEG sensors and anatomical landmarks

Source estimation

Morelet projections

Volume-based and intentsity-based lateralisation index

[53]

5000 Hz

Time

Low-pass [45 Hz]

Visual stimulus [− 2.5 s, 2.5 s]

Manual trial/channel rejection

Baseline correction

Manual ICA artifact rejection

(1) Spatiotemporal representation vector, PCA

(2) Standardize,FastICA

(1) Spatiotemporal vectors

(2) ICA components mean and variance

[51]

Wet

2048 Hz

(1) Frequency

(2) Time-Frequency

Band-pass [2–200 Hz]

Movement onset [− 2 s, 3 s]

Statistcal channel rejection

Manual trial rejection

ICA artifact rejection

–

GED topography

Time-frequency plot

Theta z-score

[57]

fNIRS

8

Prefrontal, frontal

Optodes

–

Time

Band-pass [0.005 Hz–0.03 Hz]

–

Statistical channel/trial rejection

Wavelet filtering

Baseline correction

Correlation-based signal improvement

Averaged HBo and HbR

Hdiff

[56]