A 96-channel ASIC for sEMG Fatigue Monitoring with Compressed Sensing for Data Reduction
A 96-channel ASIC for sEMG Fatigue Monitoring with Compressed Sensing for Data Reduction
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用于 sEMG 疲劳监测的 96 通道 ASIC，具有压缩感知功能以减少数据
DOI：
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发表时间：
2018
期刊：
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通讯作者：
P. Georgiou
中科院分区：
文献类型：
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作者：
Karim Elmantawi;N. Miscourides;Ermis Koutsos;P. Georgiou
提出了一种新型的96通道专用集成电路，用于同时记录表面肌电信号以监测肌肉疲劳。每个通道都是完全差分的，使得可以提取关于sEMG信号的中值频率（kHz）的信息，这已经被证明与肌肉疲劳相关。每个通道的模拟前端包括一个可调谐带通滤波器和一个可编程可变增益，功耗为8.4 μ W，面积为0.034mm2。此外，ASIC还集成了压缩感知（CS），可将所有通道传输的数据减少到使用蓝牙技术可实现的速率。每个片上CS模块占用0.0085mm2，每通道功耗17 μ W，压缩比为10。重建后的信号信噪比为10.2dB，平均信噪比为1.7%，并与真实的sEMG记录进行了对比。系统架构采用模块化设计，可确保100多个通道的可扩展性。因此，该系统包括4个独立的24通道读出模块，每个读出模块包括专用的多路复用器、ADC和压缩感测模块。整个ASIC采用0.35 μ mCMOS工艺设计，面积为5.82mm2，总功耗为3.93mW。
A novel 96-channel ASIC for simultaneous recording of sEMG signals for muscle fatigue monitoring is presented. Each channel is fully differential such that information regarding the median frequency (MDF) of the sEMG signal can be extracted which has been shown to correlate with muscle fatigue. The analogue front-end of each channel includes a tunable band pass filter and a programmable variable gain, consumes 8.4μW and occupies an area of 0.034mm2. Additionally, the ASIC incorporates compressed sensing (CS) to reduce the data transmitted from all channels into rates achievable using Bluetooth technology. Each on-chip CS module occupies 0.0085mm2 and consumes 17μW per channel with a compression ratio of 10. The reconstructed signal achieves a SNRrecon of 10.2dB and a MARD of 1.7% for the MDF of the sEMG signal, validated using real sEMG recordings. The system architecture is designed in a modular way to ensure scalability for 100+ channels. As such, the system comprises 4 independent readout modules of 24-channels each which include a dedicated multiplexer, ADC and a compressed sensing module for each. The full ASIC is designed in a 0.35 μm CMOS process, occupies an area of 5.82mm2 and has a total power consumption of 3.93mW.