Multi-Sensor-Fusion Approach for a Data-Science-Oriented Preventive Health Management System: Concept and Development of a Decentralized Data Collection Approach for Heterogeneous Data Sources

Table 1

Battery usage of mDCS (MobMedApp) for different configuration cases over eight-hour measurements using the smart phone Samsung Galaxy S8 (mAh—milli ampere hour).

Configuration case description	Battery usage of MobMedApp	Battery usage of mDCS
(1) MobMedApp in idle-mode	1.7 ± 0.4% (approx. 51 mAh)	2.8 ± 0.3% (approx. 83 mAh)
(2) MobMedApp using Fitbit-provider cloud and p^2-Health-Cloud	2.0 ± 0.1% (approx. 60 mAh)	3.8 ± 0.3% (approx. 113 mAh)
(3) MobMedApp using Equivital™ EQ01 (with continuous data transmission) and p^2-Health-Cloud	15.9 ± 0.7% (approx. 477 mAh)	16.7 ± 1.0% (approx. 500 mAh)
(4) MobMedApp using Fitbit-provider cloud, Equivital™ EQ01 (with continuous data transmission) and p^2-Health-Cloud	18.9 ± 0.7% (approx. 565 mAh)	19.8 ± 0.9% (approx. 595 mAh)