the effect of accelerometer location on the classification of single-site forearm mechanomyograms加速度计的影响在单前臂mechanomyograms的分类位置.pdf

Alves et al. BioMedical Engineering OnLine 2010, 9:23 /content/9/1/23 R E S E A R C H Open Access Research The effect of accelerometer location on the classification of single-site forearm mechanomyograms 1,2 1,2 1,2 1,2 Natasha Alves , Ervin Sejdić , Bhupinder Sahota and Tom Chau* * Correspondence: Abstract tom.chau@utoronto.ca 1 Background: Recently, pattern recognition methods have been deployed in the Bloorview Research Institute, Bloorview Kids Rehab, Toronto, classification of multiple activation states from mechanomyogram (MMG) signals for the Ontario, Canada purpose of controlling switching interfaces. Given the propagative properties of MMG Full list of author information is signals, it has been suggested that MMG classification should be robust to changes in available at the end of the article sensor placement. Nonetheless, this purported robustness remains speculative to date. This study sought to quantify the change in classification accuracy, if any, when a classifier trained with MMG signals from the muscle belly, is subsequently tested with MMG signals from a nearby location. Methods: An arrangement of 5 accelerometers was attached to the flexor carpi radialis muscle of 12 able-bodied participants; a reference accelerometer was located over the muscle belly, two peripheral accelerometers were positioned along the muscles transverse axis and two m