Key result
Vital signs sensing gown accurately monitors heart rate within ~1% error compared to standard devices.
Why the study?
General physical health can be assessed by monitoring vital signs, motivating the development of a long-term vital signs sensing gown using a miniaturized monitoring device and intelligent computation platform.
Does a vital signs sensing gown employing ECG-based intelligent algorithms accurately estimate heart rate, respiration rate, and core body temperature compared to standard devices?
Observational (n=31)
Yes
Does a vital signs sensing gown employing ECG-based intelligent algorithms accurately estimate heart rate, respiration rate, and core body temperature compared to standard devices?
A novel vital signs sensing gown accurately estimates heart rate, respiration rate, and core body temperature continuously and non-invasively, offering a potential tool for clinical and home monitoring.
This study presents a long-term vital signs sensing gown consisting of two components: a miniaturized monitoring device and an intelligent computation platform. Vital signs are signs that indicate the functional state of the human body. The general physical health of a person can be assessed by monitoring vital signs, which typically include blood pressure, body temperature, heart rate, and respiration rate. The miniaturized monitoring device is composed of a compact circuit which can acquire two kinds of physiological signals including bioelectrical potentials and skin surface temperature. These two signals were pre-processed in the circuit and transmitted to the intelligent computation platform for further analysis using three algorithms, which incorporate R-wave detection, ECG-derived respiration, and core body temperature estimation. After the processing, the derived vital signs would be displayed on a portable device screen, including ECG signals, heart rate (HR), respiration rate (RR), and core body temperature. An experiment for validating the performance of the intelligent computation platform was conducted in clinical practices. Thirty-one participants were recruited in the study (ten healthy participants and twenty-one clinical patients). The results showed that the relative error of HR is lower than 1.41%, RR is lower than 5.52%, and the bias of core body temperature is lower than 0.04 °C in both healthy participant and clinical patient trials. In this study, a miniaturized monitoring device and three algorithms which derive vital signs including HR, RR, and core body temperature were integrated for developing the vital signs sensing gown. The proposed sensing gown outperformed the commonly used equipment in terms of usability and price in clinical practices. Employing algorithms for estimating vital signs is a continuous and non-invasive approach, and it could be a novel and potential device for home-caring and clinical monitoring, especially during the pandemic.
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Ko et al. (2022) conducted an observational in Healthy volunteers and clinical patients (n=31). Vital signs sensing gown vs. Standard monitoring devices (NeXus-10 and Braun thermometer IRT-4020) was evaluated on Accuracy of derived vital signs (relative error for heart rate and respiration rate, bias for core body temperature). The vital signs sensing gown accurately estimated vital signs with a relative error of <1.41% for heart rate, <5.52% for respiration rate, and a bias of <0.04 °C for core body temperature compared to standard devices.
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