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="tab1"><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> = 48)</td><td class="align_center">25/23</td></tr><tr><td class="align_left">Age</td><td class="align_center">70.61 ± 9.51</td></tr><tr><td class="align_left">UPDRS part III</td><td class="align_center">20.9 ± 12.31</td></tr><tr><td class="align_left">H&amp;Y stage</td><td class="align_center">2.10 ± 0.74</td></tr><tr><td class="align_left">Disease duration (months)</td><td class="align_center">35.49 ± 27.07</td></tr><tr><td class="align_left">Timed-up and go</td><td class="align_center">20.87 ± 15.78</td></tr><tr><td class="align_left">Tinetti gait scale</td><td class="align_center">9.86 ± 2.56</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Journal of Healthcare Engineering

tab1

Table 1

Table 1: 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 1 | 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 