Soft Nanomembrane Sensor-Enabled Wearable Multimodal Sensing and Feedback System for Upper-Limb Sensory Impairment Assistance
- Tae Woog Kang,
- Yoon Jae Lee,
- Bruno Rigo,
- Ira Soltis,
- Jimin Lee,
- Hodam Kim
- Georgia Institute of Technology,
- School of Electrical and Computer Engineering,
- Wearable Intelligent Systems and Healthcare Center (WISH Center),
- Shriners Hospital for Children,
- Wallace H. Coulter Department of Biomedical Engineering
Open access
Abstract
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.
Bibliographic Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 5613-5628 (16 pages)Journal (Volume, Issue Number)
ACS Nano (Volume 19, Issue 5)Publication milestones
- Published - 11/02/2025
Publication status
ISSN
1936-0851Publication IDs
- Scopus: 85216709304
- PubMed: 39888714
