SynthesisSensors (Basel, Switzerland)2023
Relationships between External, Wearable Sensor-Based, and Internal Parameters: A Systematic Review.
Synthesis in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
What it found
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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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Match-play data according to playing categories in badminton: a systematic review.Frontiers in sports and active living · 2025Pooled it
- Monitoring Internal Load in Women's Basketball via Subjective and Device-Based Methods: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Within-Athlete Associations Between WHOOP Activity Strain, Coach-Prescribed Training Objectives, and Session-RPE in an Elite Junior Swimmer: A Longitudinal Single-Case Study.Journal of functional morphology and kinesiology · 2026Article
- Collegiate Male Soccer Players Reporting Their Perceived Exertion: Differences in Internal and External Intensity between Different RPE Values and Zones.Journal of human kinetics · 2026Article
- The relationship between cadence decline, cardiovascular drift and aerobic decoupling as a marker of fatigue in well trained cyclists.BMC sports science, medicine & rehabilitation · 2026Article
- Ecological momentary assessment of the stress-recovery process through technology mHealth in sports: a scoping review.BMC sports science, medicine & rehabilitation · 2026Article
- Machine Learning-Driven Muscle Fatigue Estimation in Resistance Training with Assistive Robotics.Sensors (Basel, Switzerland) · 2025Article
- Comparative Analysis of In-Match Physical Requirements Across National and International Competitive Contexts in Cerebral Palsy Football.Sensors (Basel, Switzerland) · 2025Article
- Do anthropometric characteristics and physical capacities of highly trained junior badminton players differ according to age and sex?Frontiers in sports and active living · 2025Article
- Estimating oxygen uptake in simulated team sports using machine learning models and wearable sensor data: A pilot study.PloS one · 2025Article
- Analyzing Key Factors on Training Days within a Standard Microcycle for Young Sub-Elite Football Players: A Principal Component Approach.Sports (Basel, Switzerland) · 2024Article
- Classification of recovery states in U15, U17, and U19 sub-elite football players: a machine learning approach.Frontiers in psychology · 2024Article
- The Effects of Pre-Season and Relationships with Physical, Physiological, Body Composition, and Load Markers: A Case Study Comparing Starters versus Non-Starters from an Elite Female Professional Soccer Team.Medicina (Kaunas, Lithuania) · 2023Article
- A new database of the analysis of the physiological needs in amateur female basketball during official matches.Scientific data · 2023Article
- Running Economy in the Vertical Kilometer.Sensors (Basel, Switzerland) · 2023Article
- Load Monitoring and Its Relationship with Healthcare in Sports.Healthcare (Basel, Switzerland) · 2023Article
- Tracking devices and physical performance analysis in team sports: a comprehensive framework for research-trends and future directions.Frontiers in sports and active living · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Micro electro-mechanical systems (MEMS) are used to record training and match play of intermittent team sport athletes. Paired with estimates of internal responses or adaptations to exercise, practitioners gain insight into players' dose-response relationship which facilitates the prescription of the training stimuli to optimize performance, prevent injuries, and to guide rehabilitation processes. A systematic review on the relationship between external, wearable-based, and internal parameters in team sport athletes, compliant with the PRISMA guidelines, was conducted. The literature research was performed from earliest record to 1 September 2020 using the databases PubMed, Web of Science, CINAHL, and SportDISCUS. A total of 66 full-text articles were reviewed encompassing 1541 athletes. About 109 different relationships between variables have been reviewed. The most investigated relationship across sports was found between (session) rating of perceived exertion ((session-)RPE) and PlayerLoad™ (PL) with, predominantly, moderate to strong associations (r = 0.49-0.84). Relationships between internal parameters and highly dynamic, anaerobic movements were heterogenous. Relationships between average heart rate (HR), Edward's and Banister's training impulse (TRIMP) seem to be reflected in parameters of overall activity such as PL and TD for running-intensive team sports. PL may further be suitable to estimate the overall subjective perception. To identify high fine-structured loading-relative to a certain type of sport-more specific measures and devices are needed. Individualization of parameters could be helpful to enhance practicality.
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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.