Comparison of methods for tremor frequency analysis for patients with Parkinsons disease
Tremor is described as involuntary rhythmic oscillations of one or more body parts. It is a symptom of Parkinsons disease (PD). The severity of tremor is based on its frequency. Using acceleration sensors, one can detect tremor of the limbs or other body parts. Data from sensors can be processed using spectral analysis. The most common methods for the investigation of tremor are Fast Fourier Transformation (FFT), Short Time Fourier Transform (STFT) and power spectral density analysis (PSD). In this paper we investigate these methods together with peak detection and pattern recognition methods. We compare the various approaches with each other with respect to frequency. A visual frequency analysis using an optical tracking system is used as a reference. The experiments were performed with a measuring glove with integrated acceleration sensors on the middle finger and thumb joint. We examined the accuracy of the various methods for the analysis of tremor in PD patients.
frequency analysis tremor peak detection pattern recognition Fast Fourier Transformation (FFT) Short Time Fourier Transform (STFT) power spectral density (PSD)
K.Niazmand A. Kalaras H. Dai T.C. Lueth
Dept. of Micro Technology and Medical Device Technology Technische Universitaet Muenchen, Garching, Germany
国际会议
上海
英文
690-694
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）