Preliminary assessment of the SensiumVitals&lt;sup&gt;&amp;#x00AE;&lt;/sup&gt;: A low-cost wireless solution for patient surveillance in the general wards

Hernandez-Silveira, Miguel; Wieczorkowski-Rettinger, K.; Ang, Su-Shin; Burdett, Alison

doi:10.1109/embc.2015.7319498

Cited by 17 publications

(13 citation statements)

References 7 publications

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“…Five studies (N=371) have been published about the SensiumVitals (Sensium Healthcare; Table 1 ) [ 56 , 61 - 64 ]. This is a patch device attached to the chest for continuous monitoring of the HR, RR, and axillary temperature ( Table 2 ) [ 67 ].…”

Section: Resultsmentioning

confidence: 99%

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Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review

Leenen¹,

Leerentveld²,

Dijk³

et al. 2020

J Med Internet Res

127

128

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Background Continuous monitoring of vital signs by using wearable wireless devices may allow for timely detection of clinical deterioration in patients in general wards in comparison to detection by standard intermittent vital signs measurements. A large number of studies on many different wearable devices have been reported in recent years, but a systematic review is not yet available to date. Objective The aim of this study was to provide a systematic review for health care professionals regarding the current evidence about the validation, feasibility, clinical outcomes, and costs of wearable wireless devices for continuous monitoring of vital signs. Methods A systematic and comprehensive search was performed using PubMed/MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials from January 2009 to September 2019 for studies that evaluated wearable wireless devices for continuous monitoring of vital signs in adults. Outcomes were structured by validation, feasibility, clinical outcomes, and costs. Risk of bias was determined by using the Mixed Methods Appraisal Tool, quality assessment of diagnostic accuracy studies 2nd edition, or quality of health economic studies tool. Results In this review, 27 studies evaluating 13 different wearable wireless devices were included. These studies predominantly evaluated the validation or the feasibility outcomes of these devices. Only a few studies reported the clinical outcomes with these devices and they did not report a significantly better clinical outcome than the standard tools used for measuring vital signs. Cost outcomes were not reported in any study. The quality of the included studies was predominantly rated as low or moderate. Conclusions Wearable wireless continuous monitoring devices are mostly still in the clinical validation and feasibility testing phases. To date, there are no high quality large well-controlled studies of wearable wireless devices available that show a significant clinical benefit or cost-effectiveness. Such studies are needed to help health care professionals and administrators in their decision making regarding implementation of these devices on a large scale in clinical practice or in-home monitoring.

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Section: Resultsmentioning

confidence: 99%

“…Validation outcomes: This device was validated in 3 studies. Two studies included surgical patients [ 63 , 64 ] and 1 included healthy volunteers [ 61 ]. The results were conflicting.…”

Section: Resultsmentioning

confidence: 99%

Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review

Leenen¹,

Leerentveld²,

Dijk³

et al. 2020

J Med Internet Res

127

128

View full text Add to dashboard Cite

show abstract

“…According to research by Hernandez-Silveira et al, a digital patch device compared to clinical monitoring of HR and respiratory rate, had statistically significant (p<0.0001) correlation, with lower correlation between respiratory rate in patients with atrial fibrillation (p=0.02). [96] In a small sample (n=10) of patients with AF, correlations of up to 85% were found between 24-h Holter and ECG patch AF detection. RR-interval analysis of both systems resulted in very high correlations of 99% and higher.…”

Section: Atrial Fibrillation Classificationmentioning

confidence: 95%

Windows into human health through wearables data analytics

Witt

Kellogg

Snyder

et al. 2019

Current Opinion in Biomedical Engineering

109

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Background: Wearable sensors (wearables) have been commonly integrated into a wide variety of commercial products and are increasingly being used to collect and process raw physiological parameters into salient digital health information. The data collected by wearables are currently being investigated across a broad set of clinical domains and patient populations. There is significant research occurring in the domain of algorithm development, with the aim of translating raw sensor data into fitness-or health-related outcomes of interest for users, patients, and health care providers. Objectives: The aim of this review is to highlight a selected group of fitness-and health-related indicators from wearables data and to describe several algorithmic approaches used to generate these higher order indicators. Methods: A systematic search of the Pubmed database was performed with the following search terms (number of records in parentheses): Fitbit algorithm (18), Apple Watch algorithm (3), Garmin algorithm (5), Microsoft Band algorithm (8), Samsung Gear algorithm (2), Xiaomi MiBand algorithm (1), Huawei Band (Watch) algorithm (2), photoplethysmography algorithm (465), accelerometry algorithm (966), ECG algorithm (8287), continuous glucose monitor algorithm (343). The search terms chosen for this review are focused on algorithms for wearable devices that dominated the commercial wearables market between 2014-2017 and that were highly represented in the biomedical literature. A second set of search terms included categories of algorithms for fitness-related and health-related indicators that are commonly used in wearable devices (e.g. accelerometry, PPG, ECG). These papers covered the following domain areas: fitness; exercise; movement; physical activity; step count; walking; running; swimming; energy expenditure; atrial fibrillation; arrhythmia; cardiovascular; autonomic nervous system; neuropathy; heart rate variability; fall detection; trauma; behavior change; diet; eating; stress detection; serum glucose monitoring; continuous glucose monitoring; diabetes mellitus type 1; diabetes mellitus type 2. All studies uncovered through this search on commercially available device algorithms and

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“…Patients were equipped with a wireless SensiumVitals® patch as per manufacturer's instructions (Sensium Healthcare, London, UK) either in the recovery area or on the post-operative ward. This patch is fixed in the middle of the chest using two standard electrocardiogram electrodes, and standard medical tape to fix the temperature sensor in the axilla [9,24], and measures RespR, heart rate and temperature every 2 mins. After activation by removing a plastic lit, the patch measures heart rate by an electrocardiogram segment for 30 s, followed by measuring RespR for 60 s by impedance pneumography.…”

Section: Measurement Device and Data Collectionmentioning

confidence: 99%

Insights into postoperative respiration by using continuous wireless monitoring of respiratory rate on the postoperative ward: a cohort study

Posthuma

Visscher

Lirk

et al. 2019

J Clin Monit Comput

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Change of respiratory rate (RespR) is the most powerful predictor of clinical deterioration. Brady-(RespR ≤ 8) and tachypnea (RespR ≥ 31) are associated with serious adverse events. Simultaneously, RespR is the least accurately measured vital parameter. We investigated the feasibility of continuously measuring RespR on the ward using wireless monitoring equipment, without impeding mobilization. Continuous monitoring of vital parameters using a wireless SensiumVitals® patch was installed and RespR was measured every 2 mins. We defined feasibility of adequate RespR monitoring if the system reports valid RespR measurements in at least 50% of time-points in more than 80% of patients during day-and night-time, respectively. Data from 119 patients were analysed. The patch detected in 171,151 of 227,587 measurements valid data for RespR (75.2%). During postoperative day and night four, the system still registered 68% and 78% valid measurements, respectively. 88% of the patients had more than 67% of valid RespR measurements. The RespR's most frequently measured were 13-15; median RespR was 15 (mean 16, 25th-and 75th percentile 13 and 19). No serious complications or side effects were observed. We successfully measured electronically RespR on a surgical ward in postoperative patients continuously for up to 4 days post-operatively using a wireless monitoring system. While previous studies mentioned a digit preference of 18-22 for RespR, the most frequently measured RespR were 13-16. However, in the present study we did not validate the measurements against a reference method. Rather, we attempted to demonstrate the feasibility of achieving continuous wireless measurement in patients on surgical postoperative wards. As the technology used is based on impedance pneumography, obstructive apnoea might have been missed, namely in those patients receiving opioids post-operatively.

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Preliminary assessment of the SensiumVitals<sup>®</sup>: A low-cost wireless solution for patient surveillance in the general wards

Cited by 17 publications

References 7 publications

Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review

Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review

Windows into human health through wearables data analytics

Insights into postoperative respiration by using continuous wireless monitoring of respiratory rate on the postoperative ward: a cohort study

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