Validation of a contactless radar system for continuous respiratory rate and heart rate monitoring in clinical and simulated use conditions

Abstract Continuous monitoring of respiratory rate (RR) and heart rate (HR) remains limited in post-acute and long-term care (PALTC) settings, where intermittent spot checks may delay detection of clinical deterioration. Contactless radar-based sensing offers an unobtrusive alternative suited to these environments. This study validates the performance of the C300 Monitor, a contactless frequency-modulated continuous-wave (FMCW) radar system operating at 58.0–61.5 GHz, for continuous RR and HR monitoring across clinical and simulated use conditions. In a clinical validation study conducted in such PALTC facilities, C300-derived RR and HR were compared against carbon dioxide capnography and electrocardiography, yielding Bland-Altman limits of agreement of -1.9 to 2.7 breaths per minute for RR, and -2.9 to 2.5 beats per minute for HR, with accuracy rates of 99.8% for RR and 95.1% for HR within a ±5 breaths per minute and beats per minute error margin, respectively. A complementary laboratory study evaluated system performance across representative conditions, including varying device distances, body positions, and motion scenarios. Under motion-free conditions, accuracy rates exceeded 96.3% for RR and 90.6% for HR within the same error margin, while expected system behavior was observed during patient motion or absence. Across both studies, the C300 Monitor demonstrated reliable, continuous RR and HR monitoring under conditions representative of real-world care environments, supporting its suitability for unobtrusive vital sign monitoring in these settings.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-09-29
DOI
https://doi.org/10.1038/s41598-026-71527-w
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Validation of a contactless radar system for continuous respiratory rate and heart rate monitoring in clinical and simulated use conditions

Timo Lauteslager, Michal Maslik, Guy D. Leschziner, Volodymyr Bondarenko et al.
Scientific Reports
Non-Invasive Vital Sign Monitoring
article

Validation of a contactless radar system for continuous respiratory rate and heart rate monitoring in clinical and simulated use conditions

Timo Lauteslager, Michal Maslik, Guy D. Leschziner, Volodymyr Bondarenko, Piyush Sharma, Max Denning
article en

Abstract

Abstract Continuous monitoring of respiratory rate (RR) and heart rate (HR) remains limited in post-acute and long-term care (PALTC) settings, where intermittent spot checks may delay detection of clinical deterioration. Contactless radar-based sensing offers an unobtrusive alternative suited to these environments. This study validates the performance of the C300 Monitor, a contactless frequency-modulated continuous-wave (FMCW) radar system operating at 58.0–61.5 GHz, for continuous RR and HR monitoring across clinical and simulated use conditions. In a clinical validation study conducted in such PALTC facilities, C300-derived RR and HR were compared against carbon dioxide capnography and electrocardiography, yielding Bland-Altman limits of agreement of -1.9 to 2.7 breaths per minute for RR, and -2.9 to 2.5 beats per minute for HR, with accuracy rates of 99.8% for RR and 95.1% for HR within a ±5 breaths per minute and beats per minute error margin, respectively. A complementary laboratory study evaluated system performance across representative conditions, including varying device distances, body positions, and motion scenarios. Under motion-free conditions, accuracy rates exceeded 96.3% for RR and 90.6% for HR within the same error margin, while expected system behavior was observed during patient motion or absence. Across both studies, the C300 Monitor demonstrated reliable, continuous RR and HR monitoring under conditions representative of real-world care environments, supporting its suitability for unobtrusive vital sign monitoring in these settings.

Scientific Reports
Guy's and St Thomas' NHS Foundation Trust (GB)
Openalex Percentile: Top 22%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.