Noncontact Sensors for Vital Signs Measurement: A Narrative Review

04 July 2024 : Review article

Yoo Jin Choo^1ABCDEFG, Gun Woo Lee

^2ABCDEFG, Jun Sung Moon^3ABCDEFG*, Min Cheol Chang^1ABCDEFG

DOI: 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

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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.

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