Intelligent Thermochromic Heating E-Textile for Personalized Temperature Control in Healthcare

Heating electronic textiles (e-textiles) are widely used for thermal comfort and energy conservation, but prolonged heating raises concerns about heat-related illnesses, especially in the elderly. Despite advancements, achieving universal user satisfaction remains difficult due to diverse thermal needs. This paper introduces an intelligent thermochromic heating e-textile with an artificial intelligence (AI)-based temperature control system for optimized personal comfort and color indicators for elderly caregivers. The fabric integrates conductive yarn, temperature-induced discoloration yarn (TIDY), and polymeric optical fiber (POF) to visualize temperature changes, ensuring efficiency and comfort. Equipped with microcontrollers, ambient sensors, and Bluetooth connectivity, the system offers comprehensive intelligent heating solutions. An AI model, trained on data from 50 wearability test subjects, determines optimal heating temperatures (40-50 °C) with 5.083 mean squared error (MSE), showing a high correlation between predicted and actual comfort levels. This concept enhances thermal comfort and mitigates overheating risks, promising for wearable healthcare applications.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-01-09
DOI
https://doi.org/10.1021/acsami.4c19174
Citations
12
Primary Topic
Thermal Radiation and Cooling Technologies
Type
article
Field-Weighted Citation Impact
11.44

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article

Intelligent Thermochromic Heating E-Textile for Personalized Temperature Control in Healthcare

Hiu Ting Tang, Ching Lee, Ngan Yi Kitty Lam, Jeanne Tan et al.
12 citations
ACS Applied Materials & Interfaces
Thermal Radiation and Cooling Technologies
11.44
article

Intelligent Thermochromic Heating E-Textile for Personalized Temperature Control in Healthcare

Hiu Ting Tang, Ching Lee, Ngan Yi Kitty Lam, Jeanne Tan, Wing Shan Yu, Jun Jong Tan
article en
12 citations

Abstract

Heating electronic textiles (e-textiles) are widely used for thermal comfort and energy conservation, but prolonged heating raises concerns about heat-related illnesses, especially in the elderly. Despite advancements, achieving universal user satisfaction remains difficult due to diverse thermal needs. This paper introduces an intelligent thermochromic heating e-textile with an artificial intelligence (AI)-based temperature control system for optimized personal comfort and color indicators for elderly caregivers. The fabric integrates conductive yarn, temperature-induced discoloration yarn (TIDY), and polymeric optical fiber (POF) to visualize temperature changes, ensuring efficiency and comfort. Equipped with microcontrollers, ambient sensors, and Bluetooth connectivity, the system offers comprehensive intelligent heating solutions. An AI model, trained on data from 50 wearability test subjects, determines optimal heating temperatures (40-50 °C) with 5.083 mean squared error (MSE), showing a high correlation between predicted and actual comfort levels. This concept enhances thermal comfort and mitigates overheating risks, promising for wearable healthcare applications.

ACS Applied Materials & InterfacesVol. 17(3)
Hong Kong Polytechnic University (HK)
Innovation and Technology Commission
Openalex Percentile: Top 1%
Thermal Radiation and Cooling Technologies
11.44
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