Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson’s Disease

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">Computation times</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Welch 1 s windows</td><td class="align_center">1.1137 ± 0.4831 s</td></tr><tr><td class="align_left">Welch 1.5 s windows</td><td class="align_center">0.7253 ± 0.3168 s</td></tr><tr><td class="align_left">Multitaper NW = 2</td><td class="align_center">2.3227 ± 0.8811 s</td></tr><tr><td class="align_left">Multitaper NW = 6</td><td class="align_center">4.4735 ± 1.8008 s</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computation times for the trajectory corresponding to patient 1, left hemisphere, posteromedial electrode, whose duration is 27.9987 ± 11.9316 s.

Computational Intelligence and Neuroscience

tab3

Table 3

Table 3: Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson’s Disease 