A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis
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The use of wearable body sensors for health monitoring is a quickly growing field with the potential of offering a reliable means for clinical and remote health management. This includes both real-time monitoring and health trend monitoring with the aim to detect/predict health deterioration and also to act as a prevention tool. The aim of this systematic review was to provide a qualitative synthesis of studies using wearable body sensors for health monitoring. The synthesis and analysis have pointed out a number of shortcomings in prior research. Major shortcomings are demonstrated by the majority of the studies adopting an observational research design, too small sample sizes, poorly presented, and/or non-representative participant demographics (i.e., age, gender, patient/healthy). These aspects need to be considered in future research work.
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These vital signs and device types seem to become the standard in wearable research.
“These vital signs and device types seem to become the standard in wearable research [3,27,31,224,225].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [225]
The vast majority of studies were undertaken in North America, about twice as many as in Europe.
“The vast majority of studies were undertaken in North America, about twice as many as in Europe, which is consistent with the previous literature [225].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [225]
Similar to other reviews, most devices were wrist-worn fitness trackers and accelerometers, and most were from Fitbit, measuring PA, HR, and sleep.
“Similar to other reviews, most devices were wrist-worn fitness trackers and accelerometers, and most of them are from the company Fitbit, measuring PA, HR, and sleep [3,27,31,224,225].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [225]
There is a positive trend in wearable studies, underlining growing interest in wearables in health research.
“Overall, we have identified a positive trend in wearable studies, underlining the growing interest in wearables in health research, in line with other reviews [3,224-226].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [225]
Although data analytic skills are needed for handling big data sets, their analysis might be extremely valuable for health research in generating new evidence.
“Although data analytic skills are needed for handling big data sets, their analysis might be extremely valuable for health research in generating new evidence [31,225].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [225]
The review noted an increase in large-scale wearable studies in recent years.
“We noted an increase in large-scale wearable studies in recent years, which is consistent with previous literature [225].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [225]
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- Authors
- Kristoffersson, A., & Lindén, M.
- Affiliations
- Mälardalen University (SE)
- School of Innovation, Design and Engineering, Mälardalen University, 722 20 Västerås, Sweden
- Corresponding author
- Kristoffersson, Annica
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2020-03-09
- Volume
- 20
- Issue
- 5
- Pages
- 1502
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC7085653
- OpenAlex
- W3010184906
- Cited by
- 72
- References
- 88
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 13 · 2023: 7 · 2022: 18 · 2021: 10 · 2020: 4
- FWCI
- 0.82
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Diva portal (Dalarna University Library) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Stiftelsen för Kunskaps- och Kompetensutveckling (20180158)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- health monitoring, real-time monitoring, health prediction, disease prevention, study design limitations, sample size, participant demographics
- MeSH terms
- Wearable Electronic Devices, Internet of Things, Adolescent, Adult, Aged, Female, Humans, Male, Middle Aged, Telemedicine, Monitoring, Ambulatory, Young Adult, Wireless Technology
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