Integrated Sensing–Memory–Computing Artificial Tactile System for Physiological Signal Processing Based on ITO Nanowire Synaptic Transistors

Real-time, reliable, and continuous monitoring of tactile signals is essential for the development of future human–machine interfaces. However, the weak tactile signals (such as pulses) and vast monitoring data propose significant challenges for traditional perceptual monitoring systems. Inspired by skin tactile perception, a neuromorphic physiological signal processing system is proposed by integrating indium tin oxide (ITO) nanowire synaptic transistors and biohydrogels. The external tactile information can be converted to electrical signals by a highly sensitive array of hydrogels. These electrical signals are then processed and transmitted through the ITO nanowire synaptic transistors, enabling precise sensing and analysis of complex tactile information. This system demonstrates significant potential for a wide range of applications, including but not limited to Braille recognition, where it can enable precise tactile feedback and interaction for individuals with visual impairments. Furthermore, it offers a versatile platform for the real-time acquisition, monitoring, and processing of physiological signals such as those related to muscle activity, heart rate, or neural responses. This work offers promising potential for next-generation intelligent healthcare monitoring, diagnosing, and treating applications.

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Publication Details

Journal
ACS Applied Nano Materials
Published
2025-03-07
DOI
https://doi.org/10.1021/acsanm.5c00196
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

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article

Integrated Sensing–Memory–Computing Artificial Tactile System for Physiological Signal Processing Based on ITO Nanowire Synaptic Transistors

Feiyang Xu, Seeram Ramakrishna, Yuanbin Qin, Yu Zhang et al.
2 citations
ACS Applied Nano Materials
Advanced Memory and Neural Computing
1.46
article

Integrated Sensing–Memory–Computing Artificial Tactile System for Physiological Signal Processing Based on ITO Nanowire Synaptic Transistors

Feiyang Xu, Seeram Ramakrishna, Yuanbin Qin, Yu Zhang, Fengyun Wang, Jiaqi Xu, Mengyao Wei, Jinbo Ming, Dalong Ge, Liren Wu
article en
2 citations

Abstract

Real-time, reliable, and continuous monitoring of tactile signals is essential for the development of future human–machine interfaces. However, the weak tactile signals (such as pulses) and vast monitoring data propose significant challenges for traditional perceptual monitoring systems. Inspired by skin tactile perception, a neuromorphic physiological signal processing system is proposed by integrating indium tin oxide (ITO) nanowire synaptic transistors and biohydrogels. The external tactile information can be converted to electrical signals by a highly sensitive array of hydrogels. These electrical signals are then processed and transmitted through the ITO nanowire synaptic transistors, enabling precise sensing and analysis of complex tactile information. This system demonstrates significant potential for a wide range of applications, including but not limited to Braille recognition, where it can enable precise tactile feedback and interaction for individuals with visual impairments. Furthermore, it offers a versatile platform for the real-time acquisition, monitoring, and processing of physiological signals such as those related to muscle activity, heart rate, or neural responses. This work offers promising potential for next-generation intelligent healthcare monitoring, diagnosing, and treating applications.

ACS Applied Nano MaterialsVol. 8(11)
Qingdao University (CN), National University of Singapore (SG), Université Bourgogne Franche-Comté (FR), Xi'an Jiaotong University (CN)
Qingdao Postdoctoral Science Foundation, Natural Science Foundation of Shanxi Province, Shandong Provincial Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 19%
Advanced Memory and Neural Computing
1.46
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