Zuo Siming, Nazarpour Kianoush, Bohnert Tim, Paz Elvira, Freitas Paulo, Ferreira Ricardo, Heidari Hadi
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3415-3419. doi: 10.1109/EMBC44109.2020.9176266.
Magnetomyography (MMG) is the measurement of magnetic signals generated in the skeletal muscle of humans by electrical activities. However, current technologies developed to detect such tiny magnetic field are bulky, costly and require working at the temperature-controlled environment. Developing a miniaturized, low cost and room temperature magnetic sensors provide an avenue to enhance this research field. Herein, we present an integrated tunnelling magnetoresistive (TMR) array for room temperature MMG applications. TMR sensors were developed with low-noise analogue front-end circuitry to detect the MMG signals without and with averaging at a high signal-to-noise ratio. The MMG was achieved by averaging signals using the Electromyography (EMG) signal as a trigger. Amplitudes of 200 pT and 30 pT, corresponding to periods when the hand is tense and relaxed, were observed, which is consistent with muscle simulations based on finite-element method (FEM) considering the effect of distance from the observation point to the magnetic field source.
磁肌电图（MMG）是对人体骨骼肌中由电活动产生的磁信号进行测量。然而，目前开发用于检测这种微小磁场的技术体积庞大、成本高昂，并且需要在温度受控的环境中工作。开发小型化、低成本且室温下的磁传感器为推动这一研究领域提供了一条途径。在此，我们展示了一种用于室温MMG应用的集成隧道磁阻（TMR）阵列。通过低噪声模拟前端电路开发了TMR传感器，以在有无平均的情况下以高信噪比检测MMG信号。MMG是通过以肌电图（EMG）信号为触发对信号进行平均来实现的。观察到对应于手部紧张和放松时期的200 pT和30 pT的幅度，这与考虑从观测点到磁场源距离影响的基于有限元方法（FEM）的肌肉模拟结果一致。
