AI Article Synopsis

  • The six-minute walk test (6MWT) is a key measure of exercise capacity, and a new smartphone app was developed for cardiac patients to conduct it at home.
  • A study with 102 patients identified the optimal way to perform the test, recommending a smartphone arm strap and a specific algorithm based on Google Fit data.
  • The results showed that walking randomly with the app is just as accurate as the standardized test, enabling effective remote monitoring of patients' exercise capacity.

Article Abstract

The six-minute walk test (6MWT) provides an objective measurement of a person's functional exercise capacity. In this study, we developed a smartphone application that allows cardiac patients to do a self-administered 6MWT at home on a random trajectory. In a prospective study with 102 cardiovascular disease patients, we aimed to identify the optimal circumstances to perform a smartphone-measured 6MWT, i.e., the best algorithm and the best position to wear the smartphone during the test. Furthermore, we investigated if a random walk is as accurate as a standardized 6MWT. When considering both the reliability and accuracy of the distance walked, the best circumstances to perform a standardized smartphone-measured 6MWT are wearing the smartphone in a strap around the patient's arm and using an algorithm that relies on the processed step count data acquired from Google Fit. Furthermore, we demonstrated that a smartphone-measured walk along a random trajectory is as accurate to determine a cardiac patient's functional exercise capacity as a standardized (smartphone-measured) 6MWT. We conclude this paper by presenting how our 6MWT application can be used in a home setting to remotely follow up on cardiac patients' functional exercise capacity.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185289PMC
http://dx.doi.org/10.3390/s22114277DOI Listing

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