Effectiveness analysis of bio-electronic stimulation therapy to Parkinson’s diseases via joint singular spectrum analysis and discrete fourier transform approach

Abstract

This paper studies the effectiveness of applying the bio-electronic stimulation therapy to suppress the syndromes of the Parkinson’s diseases. Here, eight patients suffering from the Parkinson’s diseases are invited for performing the investigation. The patients wear the wearable devices before and after applying the bio-electronic stimulation therapy for acquiring the corresponding resting tremor signals. First, the DC means of these signals are removed. Then, these zero mean signals are normalized to the unit energy signals. Second, the singular spectrum analysis is performed and the sets of singular spectrum analysis components are obtained. Next, the singular spectrum analysis components corresponding to the voluntary movements and the noises from various sources are removed. Third, the fast Fourier transforms are computed on the sums of the rest of singular spectrum analysis components. Then, the signal components between 3 Hz and 8 Hz are extracted out. Next, the energies of the signal components are computed for performing the analysis. The computer numerical simulation results show that the energies of the tremors after applying the bio-electronic stimulation therapy are lower than those before applying the bio-electronic stimulation therapy for all these eight patients. Compare to the processing without performing the singular spectrum analysis, the energies of the tremors after applying the bio-electronic stimulation therapy are lower than those before applying the bio-electronic stimulation therapy only for seven patients. This verifies that the singular spectrum analysis approach is effective for performing the analysis and the bio-electronic stimulation therapy is effective for suppressing the syndromes of the Parkinson’s diseases.