Effectiveness Analysis of Bio-electronic Stimulation Therapy to Parkinson's Disease via Discrete Fourier Transform Approach

This paper studies the effectiveness of applying the bio-electronic stimulation therapy to the patients suffering from the Parkinson's diseases via the resting tremor signals. Eight patients suffering from the Parkinson's diseases are invited to wear the wearable devices before and after applying the bio-electronic stimulation therapy to obtain the resting tremor signals. Then, the resting tremor signals are classified into two groups, namely before and after applying the bio-electronic stimulation therapy. To perform the classification, first the signals are represented in the frequency domain via performing the fast Fourier transforms. Then, the ratios of the energies of the signals in the frequency band 3-8Hz to the whole frequency band are computed. The computer numerical simulation results indicate that the signals obtained from seven out of eight patients can be correctly classified whether they correspond to before or after applying the bio-electronic stimulation therapy. Through our proposed method, it can be concluded that applying the bio-electronic stimulation therapy to the patients suffering from the Parkinson's diseases is effective.