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Updated: Jan 20, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
Feasibility testing of a smartphone application for visualizing and sharing peak flow monitoring data in asthma
Kotaro Sasahara1, Yuma Sakai1, Katsunori Masaki1
1Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Background:
Adherence to peak expiratory flow monitoring in asthma management is low because of the burden of data recording. We developed a smartphone application that helps record and monitor patients' daily PEF.
Methods:
PEF recordings and application usage were assessed over 4 weeks. Respiratory function was measured in the laboratory. We analyzed the peak flow recording rates, variability, and correlations between the collected data.
Results:
The recording rates for asthma and non-asthma groups were 83.9 % and 73.2 %, respectively, twice daily. Participants with asthma found the application more user-friendly than paper diaries, and 90 % wanted to continue using it. The maximum PEF recorded with the application and the PEF collected through spirometry were correlated.
Conclusion:
Our application can be a useful tool for evaluating asthma. Future studies involving larger patient cohorts are needed to confirm the usefulness of this smartphone application.
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