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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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1초록
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
- 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
- 발행일
- 2026-03
- 유형
- Article
- 저널명
- ACS Sensors
- 권
- 11
- 호
- 3
- 페이지
- 2111 ~ 2120