Continuous Vital Signs Monitoring with a Wireless and Wearable Earsensor in Surgical Patients: A Clinical Validation Study

(1) Background: Evidence on the clinical accuracy of wireless photoplethysmography (PPG)-based vital sign monitoring is limited. This study evaluated the accuracy, technical performance, and patient comfort of a novel PPG-based earsensor for measuring oxygen saturation (SpO<sub>2</sub>), pulse rate (PR), and respiratory rate (RR) in postoperative patients. (2) Methods: In this observational method comparison study, SpO<sub>2</sub>, PR, and RR were simultaneously recorded using the earsensor and compared with continuous monitoring in patients admitted overnight to the post-anesthesia care unit. Outcome measures were bias, 95% limits of agreement (LoA), and average root mean square (ARMS). Technical performance was evaluated by data loss and data gap duration. Patient comfort was assessed using a questionnaire. (3) Results: Twenty-one patients contributed to 264 h of data. Bias was 1.7% for SpO<sub>2</sub> (ARMS 2.4%; LoA -1.8% to 5.1%), 1.2 bpm for PR (ARMS 3.9 bpm; LoA -6.1 to 8.4 bpm), and 0.3 brpm for RR (ARMS 4.4 brpm; LoA -8.4 to 8.9 brpm). Overall, data loss was 42% for SpO<sub>2</sub>, 33% for RR, and 29% for PR; most data gaps were under 30 min. Patient-reported comfort was high (77%). (4) Conclusions: The earsensor accurately measured SpO<sub>2</sub> and PR. RR accuracy was outside the predefined criteria. Despite substantial data loss, patient comfort was high, supporting the potential of PPG-based sensors for unobtrusive vital sign trend monitoring in low-acuity settings.

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Journal
Sensors
Published
2026-02-12
DOI
https://doi.org/10.3390/s26041201
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Continuous Vital Signs Monitoring with a Wireless and Wearable Earsensor in Surgical Patients: A Clinical Validation Study

Lianne Zevenbergen, Paul van den Heuvel, Kim van Loon, Patrick van den Berge et al.
Sensors
Non-Invasive Vital Sign Monitoring
article

Continuous Vital Signs Monitoring with a Wireless and Wearable Earsensor in Surgical Patients: A Clinical Validation Study

Lianne Zevenbergen, Paul van den Heuvel, Kim van Loon, Patrick van den Berge, Martine J. M. Breteler
article en

Abstract

(1) Background: Evidence on the clinical accuracy of wireless photoplethysmography (PPG)-based vital sign monitoring is limited. This study evaluated the accuracy, technical performance, and patient comfort of a novel PPG-based earsensor for measuring oxygen saturation (SpO<sub>2</sub>), pulse rate (PR), and respiratory rate (RR) in postoperative patients. (2) Methods: In this observational method comparison study, SpO<sub>2</sub>, PR, and RR were simultaneously recorded using the earsensor and compared with continuous monitoring in patients admitted overnight to the post-anesthesia care unit. Outcome measures were bias, 95% limits of agreement (LoA), and average root mean square (ARMS). Technical performance was evaluated by data loss and data gap duration. Patient comfort was assessed using a questionnaire. (3) Results: Twenty-one patients contributed to 264 h of data. Bias was 1.7% for SpO<sub>2</sub> (ARMS 2.4%; LoA -1.8% to 5.1%), 1.2 bpm for PR (ARMS 3.9 bpm; LoA -6.1 to 8.4 bpm), and 0.3 brpm for RR (ARMS 4.4 brpm; LoA -8.4 to 8.9 brpm). Overall, data loss was 42% for SpO<sub>2</sub>, 33% for RR, and 29% for PR; most data gaps were under 30 min. Patient-reported comfort was high (77%). (4) Conclusions: The earsensor accurately measured SpO<sub>2</sub> and PR. RR accuracy was outside the predefined criteria. Despite substantial data loss, patient comfort was high, supporting the potential of PPG-based sensors for unobtrusive vital sign trend monitoring in low-acuity settings.

SensorsVol. 26(4)
Utrecht University (NL), University Medical Center Utrecht (NL), Technology Focus (United States) (US), University of Twente (NL)
Openalex Percentile: Top 58%
Non-Invasive Vital Sign Monitoring
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Continuous Vital Signs Monitoring with a Wireless and Wearable Earsensor in Surgical Patients: A Clinical Validation Study — Lianne Zevenbergen, Paul van den Heuvel, et al. · Sensors (2026) | TGRS Research Map | TGRS