Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, China.
Center on Nanoenergy Research, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Adv Sci (Weinh). 2024 May;11(17):e2304763. doi: 10.1002/advs.202304763. Epub 2024 Mar 1.
Innovative functional electrical stimulation has demonstrated effectiveness in enhancing daily walking and rehabilitating stroke patients with foot drop. However, its lack of precision in stimulating timing, individual adaptivity, and bilateral symmetry, resulted in diminished clinical efficacy. Therefore, a closed-loop wearable device network of intrinsically controlled functional electrical stimulation (CI-FES) system is proposed, which utilizes the personal surface myoelectricity, derived from the intrinsic neuro signal, as the switch to activate/deactivate the stimulation on the affected side. Simultaneously, it decodes the myoelectricity signal of the patient's healthy side to adjust the stimulation intensity, forming an intrinsically controlled loop with the inertial measurement units. With CI-FES assistance, patients' walking ability significantly improved, evidenced by the shift in ankle joint angle mean and variance from 105.53° and 28.84 to 102.81° and 17.71, and the oxyhemoglobin concentration tested by the functional near-infrared spectroscopy. In long-term CI-FES-assisted clinical testing, the discriminability in machine learning classification between patients and healthy individuals gradually decreased from 100% to 92.5%, suggesting a remarkable recovery tendency, further substantiated by performance on the functional movement scales. The developed CI-FES system is crucial for contralateral-hemiplegic stroke recovery, paving the way for future closed-loop stimulation systems in stroke rehabilitation is anticipated.
创新性功能性电刺激在增强日常行走能力和康复足下垂的中风患者方面已被证明具有有效性。然而,其在刺激时间、个体适应性和双侧对称性方面缺乏精确性,导致临床疗效降低。因此,提出了一种闭环可穿戴的内置控制功能性电刺激(CI-FES)系统网络,该系统利用源自内在神经信号的个人表面肌电作为开关来激活/停用受影响侧的刺激。同时,它解码患者健康侧的肌电信号以调整刺激强度,与惯性测量单元形成一个内在控制回路。在 CI-FES 的辅助下,患者的步行能力显著提高,表现在踝关节角度均值和方差从 105.53°和 28.84 变为 102.81°和 17.71,以及功能性近红外光谱测试的氧合血红蛋白浓度。在长期 CI-FES 辅助的临床测试中,机器学习分类中患者和健康个体之间的可区分性逐渐从 100%下降到 92.5%,表明有显著的恢复趋势,这在功能运动量表上的表现也得到了进一步证实。所开发的 CI-FES 系统对于对侧偏瘫中风的恢复至关重要,预计它将为中风康复的未来闭环刺激系统铺平道路。