Smart Garment for Continuous Respiration Monitoring in Canines

  • Hong, Seokkyoon; 
  • Park, Taewoong; 
  • Lee, Youngjun; 
  • Mesa, Juan C.; 
  • Yu, Tianhao; 
  • ... Kim, Dong Rip; 
  • 외 9명
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초록

There is a growing need for at-home respiration monitoring in canines, who are prone to respiratory issues due to breed-specific anatomy and active lifestyles. Continuous monitoring of respiration provides critical insight into stress and illness; however, current solutions—ranging from clinical instruments to wearable devices—are either accurate but invasive and episodic or limited in fit and comfort. Here, we introduce a smart garment that integrates a spongy-like strain sensor and compact data acquisition module into commercially available canine apparel, enabling continuous, non-invasive monitoring of respiration, body temperature, and physical activity. Validation with two breeds, Labrador and Boxer, confirmed its ability to capture breed- and activity-specific respiration patterns, including differences in breathing rate, amplitude, and panting behavior. Using convolutional neural network (CNN)-assisted machine learning (ML), the system classified respiratory patterns across breeds and activity levels with over 94.3% accuracy. Beyond canines, this platform may hold potential for future adaptation to other companion animals, such as cats, suggesting a broader scope for home-based veterinary monitoring.

키워드

machine learning; respiration monitoring in companion animals; smart garment; veterinary telehealth; wearable biomedical devices; Animals; Clothes; Convolutional neural networks; Machine learning; Medical computing; Medical informatics; Respirators; Wearable sensors
제목
Smart Garment for Continuous Respiration Monitoring in Canines
저자
Hong, Seokkyoon; Park, Taewoong; Lee, Youngjun; Mesa, Juan C.; Yu, Tianhao; Ji, Yuhyun; Lee, Junsang; Jeong, Jinheon; Kang, Seok-Won; Kim, Dong Rip; Kim, Young L.; Lee, Hyowon; Surowiec, Rachel K.; Dos Santos, Luis; Lee, Chi Hwan
DOI
10.1021/acssensors.5c03783
발행일
2026-03
유형
Article
저널명
ACS Sensors
권
11
호
3
페이지
2111 ~ 2120