Smart Garment for Continuous Respiration Monitoring in Canines

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.

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Publication Details

Journal
ACS Sensors
Published
2026-03-03
DOI
https://doi.org/10.1021/acssensors.5c03783
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
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article

Smart Garment for Continuous Respiration Monitoring in Canines

Juan C. Mesa, Yuhyun Ji, Jinheon Jeong, Tianhao Yu et al.
ACS Sensors
Non-Invasive Vital Sign Monitoring
article

Smart Garment for Continuous Respiration Monitoring in Canines

Juan C. Mesa, Yuhyun Ji, Jinheon Jeong, Tianhao Yu, Taewoong Park, Young L. Kim, Dong rip Kim, Luís Felipe Neves dos Santos, Hyowon Lee, Seokkyoon Hong, Chi Hwan Lee, YoungJun Lee, Seok-Won Kang, Rachel K. Surowiec
article en

Abstract

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.

ACS SensorsVol. 11(3)
Purdue University West Lafayette (US), Institute of Nanotechnology (GB), Weldon City Schools (US), Hanyang University (KR), Yeungnam University (KR)
Zero hunger
Openalex Percentile: Top 38%
Non-Invasive Vital Sign Monitoring
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Smart Garment for Continuous Respiration Monitoring in Canines — Juan C. Mesa, Yuhyun Ji, et al. · ACS Sensors (2026) | TGRS Research Map | TGRS