Frequency analysis of wireless accelerometer and EMG sensors data: Towards discrimination of normal and asymmetric walking pattern

Author

Spulber, Irina ; Georgiou, Pantelis ; Eftekhar, Amir ; Toumazou, Chris ; Duffell, Lynsey ; Bergmann, Jeroen ; McGregor, Alison ; Mehta, Tinaz ; Hernandez, Miguel ; Burdett, Alison

Author_Institution

Centre for Bio-inspired Technol., Imperial Coll. London, London, UK

fYear

2012

fDate

20-23 May 2012

Firstpage

2645

Lastpage

2648

Abstract

This preliminary study reports on the combined use of wireless accelerometers and wireless EMG sensors for monitoring walking patterns. The sensor data was analyzed in frequency domain through FFT, PSD and time-frequency spectrogram analysis. Accelerometer spectra was found to shift towards lower frequencies (<;3 Hz) while EMG spectra of selected muscles shifted towards higher frequencies (>;50 Hz) during asymmetric walking. Median frequency was used to quantify the spectral shifts. The combined wireless accelerometer/EMG system showed potential for discrimination between the normal and asymmetric walking.

Keywords

accelerometers; electromyography; fast Fourier transforms; gait analysis; wireless sensor networks; EMG sensor; FFT analysis; PSD analysis; accelerometer spectra; asymmetric walking pattern; frequency analysis; muscles; time-frequency spectrogram analysis; wireless accelerometer; Electromyography; Legged locomotion; Muscles; Sensors; Time frequency analysis; Wireless communication; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (ISCAS), 2012 IEEE International Symposium on

Conference_Location

Seoul

ISSN

0271-4302

Print_ISBN

978-1-4673-0218-0

Type

conf

DOI

10.1109/ISCAS.2012.6271849

Filename

6271849