Title :
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
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;
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0218-0
DOI :
10.1109/ISCAS.2012.6271849
