Neurotremor: A wearable Supportive Device for Supporting Upper Limb Muscle Function
Aueaphum Aueawattthanaphisut, Thanyanee Srichaisak, and Arissa Ieochai
展示了用于上肢功能(三头肌brachii和extensor pollicis brevis)的传感器融合可穿戴辅助原型。 该设备集成了表面肌电图(sEMG),惯性测量单元(IMU)和M5StickC上的柔性/力传感器以及ESP32-S3计算集线器。 信号是带通和缺口过滤的;特征(RMS,MAV,零交叉和4-12 Hz震颤波段功率)在250 ms窗口中计算,并输入到INT8 TensorFlow Lite Micro模型。 控制命令由控制障碍功能安全包络绑定,并在基于游戏的任务中交付,具有轻量级的个性化。 在与健康志愿者(n = 12)执行三个面向ADL任务的试点技术可行性评估中,震颤突出度下降(Delta TI = -0.092,95%CI [-0.102,-0.079]),运动范围增加(+12.65%,95%CI[+8.43,+13.89]),重复上升(+2.99 min^-1,95%CI[+2.61,+3.35]),EMG中位率上升(+2.99 min^-1,95%CI[+2.61,+3.35])+0.127])。 传感到辅助环路以 100 Hz 运行,设备内延迟 8.7 ms 中位,100% 会话完成,0 次设备相关不良事件。 这些结果证明了嵌入式传感器熔接辅助上肢功能的技术可行性;计划在IRB监督下进行正式的患者研究。
A sensor-fused wearable assistance prototype for upper-limb function (triceps brachii and extensor pollicis brevis) is presented. The device integrates surface electromyography (sEMG), an inertial measurement unit (IMU), and flex/force sensors on an M5StickC plus an ESP32-S3 compute hub. Signals are band-pass and notch filtered; features (RMS, MAV, zero-crossings, and 4-12 Hz tremor-band power) are computed in 250 ms windows and fed to an INT8 TensorFlow Lite Micro model. Control commands are bo...