DocumentCode :
3578351
Title :
A novel accelerometer-based method for the real-time assessment of Parkinson´s tremor
Author :
Honghua Zhang ; Xiaoyu Chen ; Wen-Yen Lin ; Wen-Cheng Chou ; Ming-Yih Lee
Author_Institution :
Sch. of Inf. & Electron. Eng., Zhejiang Gongshang Univ., Hangzhou, China
fYear :
2014
Firstpage :
87
Lastpage :
90
Abstract :
Parkinson´s disease is the second most common neurodegenerative disease. Tremor is an early symptom for about 70% of patients with Parkinson´s disease. Accelerometers have been widely used for the detecting of the tremor signals. There were also several signal processing methods have been proposed to assess and quantify the tremor behavior of the Parkinson´s disease, such as the power spectral density and wavelet analysis, etc.. In this paper, we present a novel method, suitable for the real-time implementation of assessing Parkinson´s tremor, based on a low-cost accelerometer sensing system.
Keywords :
accelerometers; biomedical measurement; diseases; medical signal detection; patient diagnosis; wavelet transforms; Parkinsons disease; Parkinsons tremor assessment; accelerometer-based method; neurodegenerative disease; power spectral density; signal processing method; tremor signal detection; wavelet analysis; Abstracts; Accelerometers; Parkinson´s disease; Sensors; Signal processing; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Problem-Solving (ICCP), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-4246-6
Type :
conf
DOI :
10.1109/ICCPS.2014.7062224
Filename :
7062224
Link To Document :
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