This paper focuses on the detection and quantification of three types of noise, analog-to-digital converter (ADC) clipping, quantization noise, and amplifier saturation, in surface electromyography (sEMG) without prior information regarding the sEMG setup. ADC clipping can be detected by searching for consecutive minimum and maximum values in a signal. Quantization noise can be expressed as a signal-to-quantization noise ratio which is estimated from the smallest observable step size in the signal. Amplifier saturation is quantified using a normality test, as amplifier saturation will reduce the normality of the signal amplitude distribution. Experimental results, using simulated sEMG, demonstrate the successful application of these methods.

Additional Metadata
Keywords acquisition, amplifier saturation, analog-to-digital conversion, digital signal processing, electromyography, myoelectric signal, quantization
Persistent URL dx.doi.org/10.1109/MeMeA.2012.6226629
Conference 2012 IEEE Symposium on Medical Measurements and Applications, MeMeA 2012
Citation
Fraser, G.D., Chan, A, Green, J, & MacIsaac, D. (2012). Detection of ADC clipping, quantization noise, and amplifier saturation in surface electromyography. Presented at the 2012 IEEE Symposium on Medical Measurements and Applications, MeMeA 2012. doi:10.1109/MeMeA.2012.6226629