文献类型: 会议论文
第一作者: Yolanda Castillo-Escario
作者: Yolanda Castillo-Escario 1 ; María Rodríguez-Ca?ón; Guillermo García-Alías; Raimon Jané;
作者机构: 1.ESAII Department, Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Institute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Science and Technology (BIST), Centro de Investigación Biomédica en Red de Bioingeniería, Biomateria
关键词: Muscles;Electromyography;Rats;Low pass filters;Microsoft Windows;Band-pass filters
会议名称: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
主办单位:
页码: 5113-5116
摘要: EMG signals reflect the neuromuscular activation patterns related to the execution of a certain movement or task. In this work, we focus on reaching and grasping (R&G) movements in rats. Our objective is to develop an automatic algorithm to detect the onsets and offsets of muscle activity and use it to study muscle latencies in R&G maneuvers.We had a dataset of intramuscular EMG signals containing 51 R&G attempts from 2 different animals. Simultaneous video recordings were used for segmentation and comparison. We developed an automatic onset/offset detector based on the ratio of local maxima of Teager-Kaiser Energy (TKE). Then, we applied it to compute muscle latencies and other features related to the muscle activation pattern during R&G cycles. The automatic onsets that we found were consistent with visual inspection and video labels. Despite the variability between attempts and animals, the two rats shared a sequential pattern of muscle activations. Statistical tests confirmed the differences between the latencies of the studied muscles during R&G tasks.This work provides an automatic tool to detect EMG onsets and offsets and conducts a preliminary characterization of muscle activation during R&G movements in rats. This kind of approaches and data processing algorithms can facilitate the studies on upper limb motor control and motor impairment after spinal cord injury or stroke.
分类号: q81
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