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Agreement between Vital Signs Measured Using Mat-Type Noncontact Sensors and Those from Conventional Clinical Assessment.
- Source :
- Healthcare (2227-9032); Jun2024, Vol. 12 Issue 12, p1193, 11p
- Publication Year :
- 2024
-
Abstract
- Vital signs are crucial for assessing the condition of a patient and detecting early symptom deterioration. Noncontact sensor technology has been developed to take vital measurements with minimal burden. This study evaluated the accuracy of a mat-type noncontact sensor in measuring respiratory and pulse rates in patients with cardiovascular diseases compared to conventional methods. Forty-eight hospitalized patients were included; a mat-type sensor was used to measure their respiratory and pulse rates during bed rest. Differences between mat-type sensors and conventional methods were assessed using the Bland–Altman analysis. The mean difference in respiratory rate was 1.9 breaths/min (limits of agreement (LOA): −4.5 to 8.3 breaths/min), and proportional bias existed with significance (r = 0.63, p < 0.05). For pulse rate, the mean difference was −2.0 beats/min (LOA: −23.0 to 19.0 beats/min) when compared to blood pressure devices and 0.01 beats/min (LOA: −11.4 to 11.4 beats/min) when compared to 24-h Holter electrocardiography. The proportional bias was significant for both comparisons (r = 0.49, p < 0.05; r = 0.52, p < 0.05). These were considered clinically acceptable because there was no tendency to misjudge abnormal values as normal. The mat-type noncontact sensor demonstrated sufficient accuracy to serve as an alternative to conventional assessments, providing long-term monitoring of vital signs in clinical settings. [ABSTRACT FROM AUTHOR]
- Subjects :
- VITAL signs
PEARSON correlation (Statistics)
CARDIOVASCULAR diseases
ACADEMIC medical centers
RESEARCH funding
WEARABLE technology
AMBULATORY electrocardiography
DESCRIPTIVE statistics
RESPIRATORY measurements
PULSE (Heart beat)
PATIENT monitoring
BLOOD pressure
DATA analysis software
CONFIDENCE intervals
SENSITIVITY & specificity (Statistics)
COMORBIDITY
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 12
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 178194748
- Full Text :
- https://doi.org/10.3390/healthcare12121193