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Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
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Relationships between External, Wearable Sensor-Based, and Internal Parameters: A Systematic Review.

Janina Helwig1,2, Janik Diels1, Mareike Röll1

  • 1Institute of Sport and Sport Science, Albert-Ludwigs University Freiburg, 79117 Freiburg, Germany.

Sensors (Basel, Switzerland)
|January 21, 2023
PubMed
Summary
This summary is machine-generated.

Micro electro-mechanical systems (MEMS) capture athlete training data. Wearable sensors and internal responses help optimize performance and prevent injuries by understanding the player

Keywords:
MEMSexternal loadinternal loadplayer monitoringwearable sensors

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Area of Science:

  • Sports Science
  • Biomechanics
  • Exercise Physiology

Background:

  • Micro electro-mechanical systems (MEMS) and wearable sensors are increasingly used in team sports to monitor athlete training and match play.
  • Understanding the relationship between external training load and internal physiological responses is crucial for optimizing performance, injury prevention, and rehabilitation.

Approach:

  • A systematic review adhering to PRISMA guidelines was conducted to analyze the relationship between wearable-based external parameters and internal responses in team sport athletes.
  • Literature research encompassed databases like PubMed, Web of Science, CINAHL, and SportDISCUS, reviewing 66 full-text articles involving 1541 athletes.

Key Points:

  • The most frequently studied relationship was between session rating of perceived exertion ((s)RPE) and PlayerLoad™ (PL), showing moderate to strong associations (r = 0.49–0.84).
  • Relationships between internal parameters and dynamic, anaerobic movements were heterogeneous.
  • Average heart rate (HR) and training impulse (TRIMP) correlated with overall activity measures like PL and total distance (TD) in running-intensive sports.

Conclusions:

  • PlayerLoad™ (PL) may serve as a proxy for overall subjective exertion, but more specific measures are needed for detailed, sport-specific load analysis.
  • Individualizing parameters is recommended to enhance the practical application of these monitoring tools in team sports.