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 learningrespiration monitoring in companion animalssmart garmentveterinary telehealthwearable biomedical devicesAnimalsClothesConvolutional neural networksMachine learningMedical computingMedical informaticsRespiratorsWearable sensors
제목
Smart Garment for Continuous Respiration Monitoring in Canines
저자
Hong, SeokkyoonPark, TaewoongLee, YoungjunMesa, Juan C.Yu, TianhaoJi, YuhyunLee, JunsangJeong, JinheonKang, Seok-WonKim, Dong RipKim, Young L.Lee, HyowonSurowiec, Rachel K.Dos Santos, LuisLee, Chi Hwan
DOI
10.1021/acssensors.5c03783
발행일
2026-03
유형
Article
저널명
ACS Sensors
11
3
페이지
2111 ~ 2120