Soft Nanomembrane Sensor-Enabled Wearable Multimodal Sensing and Feedback System for Upper-Limb Sensory Impairment Assistance

可穿戴计算机 感觉系统 触觉技术 康复 软机器人 执行机构 计算机科学 医学 模拟 神经科学 心理学 嵌入式系统 人工智能 物理疗法
作者
Tae Woog Kang,Yoon Jae Lee,Bruno Rigo,Ira Soltis,Jimin Lee,Hodam Kim,Gaorong Wang,Nathan Zavanelli,Eyas Ayesh,Wali Sohail,Houriyeh Majditehran,Scott H. Kozin,Frank L. Hammond,Woon‐Hong Yeo
出处
期刊:ACS Nano [American Chemical Society]
卷期号:19 (5): 5613-5628 被引量:2
标识
DOI:10.1021/acsnano.4c15530
摘要

Sensory rehabilitation in pediatric patients with traumatic spinal cord injury is challenging due to the ongoing development of their nervous systems. However, these sensory problems often result in nonuse of the impaired limb, which disturbs impaired limb rehabilitation and leads to overuse of the contralateral limb and other physical or psychological issues that may persist. Here, we introduce a soft nanomembrane sensor-enabled wearable glove system that wirelessly delivers a haptic sensation from the hand with tactile feedback responses for sensory impairment assistance. The smart glove system uses gold nanomembranes, copper-elastomer composites, and laser-induced graphene for the sensitive detection of pressure, temperature, and strain changes. The nanomaterial sensors are integrated with low-profile tactile actuators and wireless flexible electronics to offer real-time sensory feedback. The wearable system's thin-film sensors demonstrate 98% and 97% accuracy in detecting pressure and finger flexion, respectively, along with a detection coverage of real-life temperature changes as an effective rehabilitation tool. Collectively, the upper-limb sensory impairment assistance system embodies the latest in soft materials and wearable technology to incorporate soft sensors and miniaturized actuators and maximize its compatibility with human users, offering a promising solution for patient sensory rehabilitation.
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