2019
DOI: 10.1007/s10439-019-02240-1
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Prediction of Individual Finger Forces Based on Decoded Motoneuron Activities

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Cited by 38 publications
(25 citation statements)
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“…The collected HDsEMG data was filtered between 20 Hz and 400 Hz using a zero-phase digital 6th order Butterworth bandpass filter. To reduce 60 Hz noise, a zero-phase 2nd order notch filter with half power frequencies set at 59Hz and 61 HZ was utilized as well [6].…”
Section: A Data Collectionmentioning
confidence: 99%
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“…The collected HDsEMG data was filtered between 20 Hz and 400 Hz using a zero-phase digital 6th order Butterworth bandpass filter. To reduce 60 Hz noise, a zero-phase 2nd order notch filter with half power frequencies set at 59Hz and 61 HZ was utilized as well [6].…”
Section: A Data Collectionmentioning
confidence: 99%
“…We chose to adapt an existing convolutive BSS algorithm developed by F. Negro et al [5]. This algorithm has been validated and implemented in multiple studies [5], [6], [11], [12]. Briefly, the decomposition steps implemented in this algorithm are (1) signal whitening and extension (convolutive sphering), (2) deconvolution by FastICA, and (3) identification of neural activity by peak detection and K-Means classification [13].…”
Section: B Decomposition Of High-density Semgmentioning
confidence: 99%
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