Treadmill gait speeds correlate with physical activity counts measured by cell phone accelerometers

Richard H. Carlson, Derek R. Huebner, Carrie A. Hoarty, Jackie Whittington, Gleb Haynatzki, Michele C. Balas, Ana Katrin Schenk, Evan H. Goulding, Jane Frances Potter, Stephen J Bonasera

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

A number of important health-related outcomes are directly related to a person's ability to maintain normal gait speed. We hypothesize that cellular telephones may be repurposed to measure this important behavior in a noninvasive, continuous, precise, and inexpensive manner. The purpose of this study was to determine if physical activity (PA) counts collected by cell phone accelerometers could measure treadmill gait speeds. We also assessed how cell phone placement influenced treadmill gait speed measures. Participants included 55 young, middle-aged, and older community-dwelling men and women. We placed cell phones as a pendant around the neck, and on the left and right wrist, hip, and ankle. Subjects then completed an individualized treadmill protocol, alternating 1. min rest periods with 5. min of walking at different speeds (0.3-11.3. km/h; 0.2-7. mi/h). No persons were asked to walk at speeds faster than what they would achieve during day-to-day life. PA counts were calculated from all sensor locations. We built linear mixed statistical models of PA counts predicted by treadmill speeds ranging from 0.8 to 6.4. km/h (0.5-4. mi/h) while accounting for subject age, weight, and gender. We solved linear regression equations for treadmill gait speed, expressed as a function of PA counts, age, weight, and gender. At all locations, cell phone PA counts were strongly associated with treadmill gait speed. Cell phones worn at the hip yielded the best predictive model. We conclude that in both men and women, cell phone derived activity counts strongly correlate with treadmill gait speed over a wide range of subject ages and weights.

Original languageEnglish (US)
Pages (from-to)241-248
Number of pages8
JournalGait and Posture
Volume36
Issue number2
DOIs
StatePublished - Jun 1 2012

Fingerprint

Cell Phones
Exercise
Weights and Measures
Hip
Independent Living
Statistical Models
Walking Speed
Wrist
Ankle
Walking
Linear Models
Neck
Health

Keywords

  • Actimetry
  • Cellular phone
  • Gait speed
  • Spatio-temporal organization of human behavior
  • Treadmill locomotion
  • Validation, actimetry

ASJC Scopus subject areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Rehabilitation

Cite this

Treadmill gait speeds correlate with physical activity counts measured by cell phone accelerometers. / Carlson, Richard H.; Huebner, Derek R.; Hoarty, Carrie A.; Whittington, Jackie; Haynatzki, Gleb; Balas, Michele C.; Schenk, Ana Katrin; Goulding, Evan H.; Potter, Jane Frances; Bonasera, Stephen J.

In: Gait and Posture, Vol. 36, No. 2, 01.06.2012, p. 241-248.

Research output: Contribution to journalArticle

Carlson, Richard H. ; Huebner, Derek R. ; Hoarty, Carrie A. ; Whittington, Jackie ; Haynatzki, Gleb ; Balas, Michele C. ; Schenk, Ana Katrin ; Goulding, Evan H. ; Potter, Jane Frances ; Bonasera, Stephen J. / Treadmill gait speeds correlate with physical activity counts measured by cell phone accelerometers. In: Gait and Posture. 2012 ; Vol. 36, No. 2. pp. 241-248.
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