A Review of Recent Advances in Vital Signals Monitoring of Sports and Health via Flexible Wearable Sensors
Open accessAbstract
In recent years, vital signals monitoring in sports and health have been considered the research focus in the field of wearable sensing technologies. Typical signals include bioelectrical signals, biophysical signals, and biochemical signals, which have applications in the fields of athletic training, medical diagnosis and prevention, and rehabilitation. In particular, since the COVID-19 pandemic, there has been a dramatic increase in real-time interest in personal health. This has created an urgent need for flexible, wearable, portable, and real-time monitoring sensors to remotely monitor these signals in response to health management. To this end, the paper reviews recent advances in flexible wearable sensors for monitoring vital signals in sports and health. More precisely, emerging wearable devices and systems for health and exercise-related vital signals (e.g., ECG, EEG, EMG, inertia, body movements, heart rate, blood, sweat, and interstitial fluid) are reviewed first. Then, the paper creatively presents multidimensional and multimodal wearable sensors and systems. The paper also summarizes the current challenges and limitations and future directions of wearable sensors for vital typical signal detection. Through the review, the paper finds that these signals can be effectively monitored and used for health management (e.g., disease prediction) thanks to advanced manufacturing, flexible electronics, IoT, and artificial intelligence algorithms; however, wearable sensors and systems with multidimensional and multimodal are more compliant.
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The current health data cloud infrastructure is inadequate, causing data transmission delays and insufficient real-time feedback, which affects the response efficiency of intention prediction in complex scenarios.
“The current health data cloud infrastructure is inadequate, causing data transmission delays and insufficient real-time feedback, which affects the response efficiency of intention prediction in complex scenarios 175,176 .”
From Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction (2026) · cites this paper as [175]
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References 161 · Cited by 112
- Authors
- Sun, W., Guo, Z., Yang, Z., Wu, Y., Lan, W., Liao, Y., Wu, X., & Liu, Y.
- Affiliations
- Shanghai University (CN)
- Corresponding author
- Liu, Yuanyuan
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2022-10-13
- Volume
- 22
- Issue
- 20
- Pages
- 7784
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC9607392
- OpenAlex
- W4306160188
- Cited by
- 112
- References
- 161
- Citations by year
- 2026: 25 · 2025: 41 · 2024: 26 · 2023: 20
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (61973206, 61703265, 61803250, 61933008, 17YF1406100, 17YF1406200, 19QA1403700)
- Shanghai Science and Technology Committee Sailing Program Foundation (61973206, 61703265, 61803250, 61933008, 17YF1406100, 17YF1406200, 19QA1403700)
- Shanghai Science and Technology Committee Rising-Star Program (61973206, 61703265, 61803250, 61933008, 17YF1406100, 17YF1406200, 19QA1403700)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- flexible wearable sensors, sports monitoring, health monitoring, electrocardiogram, EEG, electromyography, inertial sensors, heart rate monitoring, sweat monitoring, interstitial fluid, remote patient monitoring, disease prediction, flexible electronics, Internet of Things
- MeSH terms
- Wearable Electronic Devices, COVID-19, Artificial Intelligence, Humans, Monitoring, Physiologic, Sports, Pandemics
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