04 July 2024 : Review article
Noncontact Sensors for Vital Signs Measurement: A Narrative Review
Yoo Jin Choo1ABCDEFG, Gun Woo Lee 2ABCDEFG, Jun Sung Moon3ABCDEFG*, Min Cheol Chang1ABCDEFGDOI: 10.12659/MSM.944913
Med Sci Monit 2024; 30:e944913
Introduction
Database Search for Identifying Related Articles
Detection of Vital Signs Using Noncontact Sensors
Characteristics of the Introduced Noncontact Sensors
Comparison of Traditional Devices and Noncontact Sensors for Vital Signs Measurement
Limitations of the Current Study
Future Directions
Conclusions
References
Table 1 Characteristics of included studies.
Study | Participants | Target disorder | Noncontact sensor | Conventional measurement methods | Outcome parameters |
---|---|---|---|---|---|
Kagiyama et al 2023 []21 | N=16Median age=71.5 (52.5–74.5) years | Coronavirus disease | Mat-type air pressure sensor (Kaigolog Med: Liquid Design Systems Inc., Tokyo, Japan) | Systolic and diastolic blood pressure, heart rate, peripheral oxygen saturation, body temperature, and respiratory rate | |
Kim et al 2019 []22 | N=6Gestational age=38.0 (37.0–41.0) weeksAge at measurement=9 (2–29) days | Clinically stable full-term neonates who were admitted to the NICU | Impulse radio ultrawideband radar (X4M06; Xandar Kardian, Delaware, USA) | Impedance pneumography monitor (BSM-6501K; Nihon Kohden, Tokyo, Japan) | Respiratory rate |
Sadek et al 2020 []23 | N=10Mean age=38.6±11.87 years | Obstructive sleep apnea | Microbend fiber-optic sensor | Polysomnography | Heart rate and respiratory rate |
N – number of participants. |