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FPGA based peripheral myopathy monitoring using MFCV at dynamic contractions
Journal of Ambient Intelligence and Humanized Computing Pub Date : 2020-07-29 , DOI: 10.1007/s12652-020-02363-7
R. Raja Sudharsan , J. Deny , E. Muthukumaran , R. Varatharajan

This article describes the design of a wearable, remote inserted framework for the Peripheral Myopathy (PM) estimation in customary dynamic movements. This unique circumstance, the electromyographic investigation can give data about the muscle and nerve condition by evaluating the connected MFCV. The framework works with synchronized and digitized information tests from four electromyographic channels, which are situated on both hands of the individual test, misusing the rules given by an inserted positional filtering calculation. This work displays a novel approach for the assessment of MFCV that relies upon the excellent anode relative estimation standard. The system uses dynamic bitstream change of Electromyographic signs and low computational retort for utilization of bit stream cross-correlation. The structure totally chips away at Cyclone-V altera field programmable gate array. The test outcomes on five subjects (Human Beings) show the limit of the proposed procedure for planning the physiological muscle fibre conduction velocity values, as nitty–gritty in a therapeutic composition. In explicit, differentiating the remedial characteristics, obtained in controlled conditions, with the system evacuated muscle fibre conduction velocity, the proportionate preliminary conditions: preeminent bungle is, overall, 0.3 m/s. The framework restores a likelihood of invalid constant measures underneath of 2% (assuming the worst possible scenario).



中文翻译:

在动态收缩时使用MFCV进行基于FPGA的外周肌病监测

本文介绍了一种在常规动态运动中用于外周肌病(PM)估计的可穿戴远程插入框架的设计。在这种独特的情况下,肌电图检查可以通过评估连接的MFCV来提供有关肌肉和神经状况的数据。该框架可处理来自四个肌电图通道的同步和数字化信息测试,这些通道位于各个测试的两只手上,从而误用了插入的位置过滤计算所给出的规则。这项工作展示了一种基于极好的阳极相对估算标准的MFCV评估新方法。该系统利用肌电信号的动态比特流变化和低计算量反演来利用比特流互相关。该结构在Cyclone-V Altera现场可编程门阵列中完全被淘汰。在五个受试者(人类)上的测试结果表明,规划生理肌肉纤维传导速度值的拟议程序的局限性,如治疗组合物中的细砂。明确地,区分在受控条件下获得的补救特性,以及系统排空肌肉纤维传导速度时,相应的初始条件:卓越的束缚度总体为0.3 m / s。该框架将无效的恒定测量值恢复到2%以下的可能性(假设最坏的情况)。作为治疗组合物中的含沙量。明确地,区分在受控条件下获得的补救特性,以及系统排空肌肉纤维传导速度时,相应的初始条件:卓越的束缚度总体为0.3 m / s。该框架将无效的恒定测量值恢复到2%以下的可能性(假设最坏的情况)。作为治疗组合物中的含沙量。明确地,区分在受控条件下获得的补救特性,以及系统排空肌肉纤维传导速度时,相应的初始条件:卓越的束缚度总体为0.3 m / s。该框架将无效的恒定测量值恢复到2%以下的可能性(假设最坏的情况)。

更新日期:2020-07-29
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