3.8 Article

The technology of accelerometry-based activity monitors: Current and future

Journal

MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
Volume 37, Issue 11, Pages S490-S500

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1249/01.mss.0000185571.49104.82

Keywords

hardware; analysis; modeling; energy expenditure; piezoelectric sensor

Categories

Funding

  1. NCRR NIH HHS [RR00095] Funding Source: Medline
  2. NIDDK NIH HHS [DK069465, DK26557, DK02973] Funding Source: Medline

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Purpose: This paper reviews accelerometry-based activity monitors, including single-site first-generation devices, emerging technologies, and analytical approaches to predict energy expenditure, with suggestions for further research and development. Methods: The physics and measurement principles of the accelerometer are described, including the sensor properties, data collections, filtering, and integration analyses. The paper also compares these properties in several commonly used single-site accelerometers. The emerging accelerometry technologies introduced include the multisensor arrays and the combination of accelerometers, with physiological sensors. The outputs of accelerometers are compared with criterion measures of energy expenditure (indirect calorimeters and double-labeled water) to develop mathematical models (linear, nonlinear, and variability approaches). Results: The technologies of the sensor and data processing directly influence the results of the outcome measurement (activity counts and energy expenditure predictions). Multisite assessment and combining accelerometers with physiological measures may offer additional advantages. Nonlinear approaches to predict energy expenditure using accelerometer outputs from multiple sites and orientation can enhance accuracy. Conclusions: The development of portable accelerometers has made objective assessments of physical activity possible. Future technological improvements will include examining raw acceleration signals and developing advanced models for accurate energy expenditure predictions.

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