Next Article in Journal
Multispectral Sensor Calibration and Characterization for sUAS Remote Sensing
Previous Article in Journal
3D Object Recognition Based on Point Clouds in Underwater Environment with Global Descriptors: A Survey
 
 
Article

Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer

1
Department of Medical Instrumentation Techniques Engineering, Electrical Engineering Technical College, Middle Technical University, Baghdad 10010, Iraq
2
College of Dentistry, University of Mosul, Mosul 41002, Iraq
3
School of Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia
4
Joint and Operations Analysis Division, Defence Science and Technology Group, Melbourne, VIC 3207, Australia
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4452; https://doi.org/10.3390/s19204452
Received: 3 August 2019 / Revised: 28 September 2019 / Accepted: 10 October 2019 / Published: 14 October 2019
(This article belongs to the Section Physical Sensors)
Elderly fall detection systems based on wireless body area sensor networks (WBSNs) have increased significantly in medical contexts. The power consumption of such systems is a critical issue influencing the overall practicality of the WBSN. Reducing the power consumption of these networks while maintaining acceptable performance poses a challenge. Several power reduction techniques can be employed to tackle this issue. A human vital signs monitoring system (HVSMS) has been proposed here to measure vital parameters of the elderly, including heart rate and fall detection based on heartbeat and accelerometer sensors, respectively. In addition, the location of elderly people can be determined based on Global Positioning System (GPS) and transmitted with their vital parameters to emergency medical centers (EMCs) via the Global System for Mobile Communications (GSM) network. In this paper, the power consumption of the proposed HVSMS was minimized by merging a data-event (DE) algorithm and an energy-harvesting-technique-based wireless power transfer (WPT). The DE algorithm improved HVSMS power consumption, utilizing the duty cycle of the sleep/wake mode. The WPT successfully charged the HVSMS battery. The results demonstrated that the proposed DE algorithm reduced the current consumption of the HVSMS to 9.35 mA compared to traditional operation at 85.85 mA. Thus, an 89% power saving was achieved based on the DE algorithm and the battery life was extended to 30 days instead of 3 days (traditional operation). In addition, the WPT was able to charge the HVSMS batteries once every 30 days for 10 h, thus eliminating existing restrictions involving the use of wire charging methods. The results indicate that the HVSMS current consumption outperformed existing solutions from previous studies. View Full-Text
Keywords: accelerometer; battery life; data-event algorithm; fall detection; heartbeat; power saving; GPS; GSM; WPT accelerometer; battery life; data-event algorithm; fall detection; heartbeat; power saving; GPS; GSM; WPT
Show Figures

Figure 1

MDPI and ACS Style

Kamel Gharghan, S.; Saad Fakhrulddin, S.; Al-Naji, A.; Chahl, J. Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer. Sensors 2019, 19, 4452. https://doi.org/10.3390/s19204452

AMA Style

Kamel Gharghan S, Saad Fakhrulddin S, Al-Naji A, Chahl J. Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer. Sensors. 2019; 19(20):4452. https://doi.org/10.3390/s19204452

Chicago/Turabian Style

Kamel Gharghan, Sadik, Saif Saad Fakhrulddin, Ali Al-Naji, and Javaan Chahl. 2019. "Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer" Sensors 19, no. 20: 4452. https://doi.org/10.3390/s19204452

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop