Towards a natural walking monitor for pulmonary patients using simple smart phones

Joshua Juen, Qian Cheng, Bruce R Schatz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mobile devices present the opportunity to continuously collect health data including movement and walking speed. Fitness trackers have become popular which record steps taken, distance walked and caloric expenditure. While useful for fitness purposes, medical monitoring requires precise accuracy and testing on real patients with a medically valid measure. Walking speed is closely linked to morbidity in patients and is also useful to determine distance walked during sixminute walk tests, a standard assessment for both chronic obstructive pulmonary disease and congestive heart failure. Current generation smartphone hardware contains similar sensor chips as medical devices and popular fitness devices. We develop a middleware, Move Sense, to provide comparable readings to medical accelerometers using only smartphones. We evaluate six methods developed for constrained treadmill walking to obtain gait speed during natural walking with older chronic pulmonary patients and train new models to predict speed and distance. Natural walking is walking without artificial speed constraints introduced during treadmill and nurse assisted walking. We also compare our model's accuracy to popular fitness devices. Our models produce accurate 6MWT distance and higher accuracy distance estimation than dedicated fitness devices during unconstrained walking on patients using a universally trained support vector machine model.

Original languageEnglish (US)
Title of host publicationACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
PublisherAssociation for Computing Machinery, Inc
Pages53-62
Number of pages10
ISBN (Electronic)9781450328944
DOIs
StatePublished - Sep 20 2014
Event5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014 - Newport Beach, United States
Duration: Sep 20 2014Sep 23 2014

Other

Other5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014
CountryUnited States
CityNewport Beach
Period9/20/149/23/14

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Software
  • Biomedical Engineering

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  • Cite this

    Juen, J., Cheng, Q., & Schatz, B. R. (2014). Towards a natural walking monitor for pulmonary patients using simple smart phones. In ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 53-62). Association for Computing Machinery, Inc. https://doi.org/10.1145/2649387.2649401