A real-time detection algorithm for freezing of gait in Parkinson's disease
Journal
Proceedings - IEEE International Symposium on Circuits and Systems
Pages
1312-1315
Date Issued
2014
Author(s)
Abstract
Freezing of gait (FOG) is a symptom of Parkinson's disease (PD). In this paper, we develop a real-time FOG detection algorithm. To achieve the goal of real time, we adopt the generalized spectrogram with asymmetric windows and the asymmetric smooth filter. Furthermore, instead of using only the frequency domain information, we apply the features in both the time domain and the frequency domain. Simulations show that the proposed FOG detection algorithm has higher accuracy than other methods. Moreover, the time delay of the proposed algorithm is only 1 second, which is 2.25-3.75 times less than that of existing methods.
SDGs
Publisher
Institute of Electrical and Electronics Engineers Inc.
Type
conference paper