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 p2-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 p2-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 p2-Health-Cloud