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author:

Sun, Hao (Sun, Hao.) [1] | Li, Longwei (Li, Longwei.) [2] | Tao, Lu-Qi (Tao, Lu-Qi.) [3] | Xue, Hongxiang (Xue, Hongxiang.) [4] | Pu, Xiong (Pu, Xiong.) [5] | Xia, Sheng-Yuan (Xia, Sheng-Yuan.) [6] | Sun, Fuchun (Sun, Fuchun.) [7]

Indexed by:

EI Scopus SCIE

Abstract:

Prolonged exposure to damaging auditory conditions can lead to significant health issues, including hearing impairment and inflammation of the ear canal. We present an intelligent multifunction graphene skin patch (GSP) that integrates health monitoring and high-quality acoustic interaction to address these challenges. Comprising laser-induced graphene (LIG), PI fabric, and Nomex fabric, GSP utilizes triboelectric nanogenerator (TENG), thermosensitive (TS), and thermoacoustic (TA) effects to provide multimodal sensing of external auditory canal health while delivering superior audio quality. GSP demonstrates rapid response and high sensitivity (1.286 kPa-1), along with remarkable durability (12,000 cycles) for precise monitoring of pulse and temperature variations (4/ degrees C). By employing pulse density modulation, we significantly reduce total harmonic distortion from 97.6 % to 2.98 %, ensuring exceptional sound fidelity at low frequencies. Moreover, through deep learning analysis, the accuracy of acoustic data processing improved from 47.1 % to 98.2 %. GSP's multifunctionality enables an integrated health monitoring and warning system, enhancing human-machine interaction. This innovative approach not only bridges the gap between monitoring and rehabilitation but also sets a novel standard for wearable health solutions.

Keyword:

Deep learning Health monitoring Human-machine interaction Laser-induced graphene Skin patch

Community:

  • [ 1 ] [Sun, Hao]Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
  • [ 2 ] [Li, Longwei]Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
  • [ 3 ] [Sun, Fuchun]Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
  • [ 4 ] [Xia, Sheng-Yuan]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 5 ] [Li, Longwei]Chinese Acad Sci, CAS Ctr Excellence Nanosci, Beijing Inst Nanoenergy & Nanosyst, Beijing Key Lab Micronano Energy & Sensor, Beijing, Peoples R China
  • [ 6 ] [Pu, Xiong]Chinese Acad Sci, CAS Ctr Excellence Nanosci, Beijing Inst Nanoenergy & Nanosyst, Beijing Key Lab Micronano Energy & Sensor, Beijing, Peoples R China
  • [ 7 ] [Tao, Lu-Qi]Tsinghua Univ, Inst Microelect, Beijing 100084, Peoples R China
  • [ 8 ] [Tao, Lu-Qi]Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China
  • [ 9 ] [Xue, Hongxiang]Fudan Univ, Inst Engn & Appl Technol, Shanghai 200082, Peoples R China

Reprint 's Address:

  • [Sun, Fuchun]Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China;;[Xia, Sheng-Yuan]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China

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Source :

NANO ENERGY

ISSN: 2211-2855

Year: 2025

Volume: 137

1 6 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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