Transportation period detection for physical activity monitoring using an inertial sensor on the lower-back

Aki Kunikoshi (The Hague, Netherlands), Aki Kunikoshi, Martijn Niessen, Evert Pengel, Bas Huijben, Rob C. van Lummel

Source: International Congress 2016 – Best abstracts in physical activity and telemedicine
Session: Best abstracts in physical activity and telemedicine
Session type: Poster Discussion
Number: 2049
Disease area: Airway diseases

Congress or journal article abstract

Abstract

IntroductionUse of public transport can be important for independence of older adults to avoid social isolation. In the Dutch Standard of Care all COPD patients receive an exercise advice. The pathway incorporates an activity monitor to objectively evaluate physical activity in daily life [1]. In this study we develop an algorithm based on ambulatory PA monitoring to detect their use of transportation. Additionally, this method can also be used to improve the estimation of energy expenditure.MethodsPA of 11 adults was measured with the DynaPort MoveMonitor+ worn on the lower-back in 4 kinds of transportation. In total 515 min of in-transportation and 5318 min of not-in-transportation of data were recorded. 153 spectral features were extracted from them and Principal Component Analysis was performed to reduce the dimensionality. Among them randomly chosen 1012 min of data were used to train Gaussian Mixture Model (GMM) and the rest is used for evaluation. The model training & evaluation process were repeated 30 times.ResultsThe GMM can detect the use of transportation with precision of 89.50 +- 0.75 [%] and sensitivity of 100.00 +- 0.00 [%]. The F1 score is 94.46 +- 0.42 [%].ConclusionsOur result has proven that transportation detection using an activity monitor worn on the lower-back is feasible. Possible improvement for future includes adding former and following PA information for the classification and analyzing the difference between the means of transportation.--[1] van den Akker et al. Development of an integral assessment approach of health status in patients with obstructive airway diseases : the CORONA study. Dovepress. 2015; 10((1)):2413–22.


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Aki Kunikoshi (The Hague, Netherlands), Aki Kunikoshi, Martijn Niessen, Evert Pengel, Bas Huijben, Rob C. van Lummel. Transportation period detection for physical activity monitoring using an inertial sensor on the lower-back. Eur Respir J 2016; 48: Suppl. 60, 2049

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