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@inproceedings{Spulber:2012,
author = {Spulber, I and Georgiou, P and Eftekhar, A and Toumazou, C and Duffell, L and Bergmann, J and McGregor, A and Mehta, T and Burdett, A},
pages = {2645--2648},
title = {Frequency analysis of wireless accelerometer and EMG sensors data: Towards discrimination of normal and asymmetric walking pattern},
year = {2012}
}

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TY  - CPAPER
AB  - 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.
AU  - Spulber,I
AU  - Georgiou,P
AU  - Eftekhar,A
AU  - Toumazou,C
AU  - Duffell,L
AU  - Bergmann,J
AU  - McGregor,A
AU  - Mehta,T
AU  - Burdett,A
EP  - 2648
PY  - 2012///
SP  - 2645
TI  - Frequency analysis of wireless accelerometer and EMG sensors data: Towards discrimination of normal and asymmetric walking pattern
ER  -

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