ReviewSensors (Basel, Switzerland)2022
A Review of Recent Advances in Vital Signals Monitoring of Sports and Health via Flexible Wearable Sensors.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 87 citations in OpenAlex.
- Rapid Design and Fabrication of Body Conformable Surfaces with Kirigami Cutting and Machine Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Weekly Heart Rate Variability and Training Zone Analysis in U-15 Soccer Players: The Predictive Value of Combined Warm-up Protocols for Optimizing Cardiovascular Monitoring.Advanced biomedical research · 2026Article
- Recent Advances in Conductive Composite Hydrogels for Electronic Skin Applications.Gels (Basel, Switzerland) · 2025Review
- SWCNT/PEDOT:PSS/SA Composite Yarns with High Mechanical Strength and Flexibility via Wet Spinning for Thermoelectric Applications.Sensors (Basel, Switzerland) · 2025Article
- Recent Progress in Flexible Wearable Sensors for Real-Time Health Monitoring: Materials, Devices, and System Integration.Micromachines · 2025Review
- A lightweight St-CNN architecture based on deep learning for stress level detection from human physical activities.Scientific reports · 2025Article
- The Design and Application of Wearable Ultrasound Devices for Detection and Imaging.Biosensors · 2025Review
- AI-Driven TENGs for Self-Powered Smart Sensors and Intelligent Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Wearable Sensors for Ensuring Sports Safety in Children with Autism Spectrum Disorder: A Comprehensive Review.Sensors (Basel, Switzerland) · 2025Review
- Application of Additive Manufacturing and Deep Learning in Exercise State Discrimination.Sensors (Basel, Switzerland) · 2025Article
- Fetal QRS extraction from single-channel abdominal ECG using adaptive improved permutation entropy.Physical and engineering sciences in medicine · 2024Article
- Facial electromyography during exercise using soft electrode array: A feasibility study.PloS one · 2024Article
- Nurses' continuance intention to use electronic health record systems: The antecedent role of personality and organisation support.PloS one · 2024Article
- Prototype of Data Collector from Textronic Sensors.Sensors (Basel, Switzerland) · 2023Article
- Diagnostic Accuracy of Single-Lead Electrocardiograms Using the Kardia Mobile App and the Apple Watch 4: Validation Study.JMIR cardio · 2023Article
- Stress Monitoring Using Machine Learning, IoT and Wearable Sensors.Sensors (Basel, Switzerland) · 2023Article
- Microfluidic Wearable Devices for Sports Applications.Micromachines · 2023Review
- Multiresponsive Cylindrically Symmetric Cholesteric Liquid Crystal Elastomer Fibers Templated by Tubular Confinement.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Wearable and Portable Devices for Acquisition of Cardiac Signals while Practicing Sport: A Scoping Review.Sensors (Basel, Switzerland) · 2023Article
- The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability.International journal of environmental research and public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.