Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson’s Patients

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">M/F (<i>n</i> = 40)</td><td class="align_center">22/18</td></tr><tr><td class="align_left">Age</td><td class="align_center">69.36 ± 7.42</td></tr><tr><td class="align_left">UPDRS part III</td><td class="align_center">0</td></tr><tr><td class="align_left">Disease duration (months)</td><td class="align_center">0</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Journal of Healthcare Engineering

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Table 2

Table 2: Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson’s Patients 

Table 2 | Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson’s Patients 