DocumentCode
1506738
Title
Automatic stance-swing phase detection from accelerometer data for peroneal nerve stimulation
Author
Willemsen, Antoon Th M ; Bloemhof, Fedde ; Boom, Herman B K
Author_Institution
Dept. of Electr. Eng., Twente Univ., Enschede, Netherlands
Volume
37
Issue
12
fYear
1990
Firstpage
1201
Lastpage
1208
Abstract
The development of implantable peroneal nerve stimulators has increased interest in sensors which can detect the different phases of walking (stance and swing). Accelerometers with a potential for implantation are studied as detectors for the swing phase of walking to replace footswitches. Theoretically, one can show that accelerometers can be used to distinguish between stance and swing phase. Using accelerometers attached between the ankle and knee joints, the equivalent acceleration of the ankle joint was calculated. This resulted in a typical and reproducible signal in which the different walking phases were identified. Automatic detection algorithms based on cross-correlation calculations were developed and tested. Measurements from four healthy and four hemiplegic subjects resulted in a total of 317 and 272 steps, respectively. The testing of one of the hemiplegic subjects was considered to be a failure due to large disturbances in the acceleration signal during the swing phase of walking, which may be related to the use of crutches.
Keywords
biomechanics; biomedical measurement; neurophysiology; orthotics; accelerometer data; ankle joint; automatic detection algorithms; automatic stance-swing phase detection; crutches; hemiplegic subjects; knee joint; peroneal nerve stimulation; sensors; walking phase detection; Acceleration; Accelerometers; Automatic testing; Detection algorithms; Detectors; Knee; Legged locomotion; Life estimation; Phase detection; Signal processing; Algorithms; Electric Stimulation Therapy; Equipment Design; Gait; Hemiplegia; Humans; Peroneal Nerve; Prostheses and Implants;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.64463
Filename
64463
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