An outdoor intelligent healthcare monitoring device for the elderly

Wang, Liang-Hung; Hsiao, Yi-Mao; Xie, Xue-Qin; Lee, Shuenn-Yuh

doi:10.1109/tce.2016.7514671

Cited by 63 publications

(28 citation statements)

References 21 publications

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“…Concerning Zigbee applications, a wearable system was designed in [30] comprising of an accelerometer and temperature and humidity sensors, using an IEEE 802.15.4 compatible transceiver capable of implementing Zigbee protocols and transmitting at 2 mW. Also, a wearable system equipped with GPS and 3-lead ECG was proposed in [32] for the purpose of fall detection and assisting elderly people. A health monitoring system equipped with a 1lead ECG, a pulse sensor, and a body weight sensor was also designed in [33] where a Zigbee transceiver module with 6.3 mW was used to interconnect sensors with a coordinator node, and a Bluetooth v.2 module with 2.5 mW to connect this latter to an AP.…”

Section: Existing Wireless Technologies For Wbans and Related Workmentioning

confidence: 99%

Enabling Communication Technologies for Medical Wireless Body-Area Networks

Haddad

Khalighi

2019

2019 Global LIFI Congress (GLC)

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The increasing percentage of aging population and chronic diseases on one hand, and the advances in the development of integrated short range wireless technologies on the other hand, have created a growing interest in the development of medical telemonitoring and telecare systems through the use of medical on-body sensor networks, also known as medical wireless body area networks (WBANs). This paper provides an overview of the main wireless technologies that can be used for WBANs in the medical domain and discusses the major requirements in such applications. While radio frequency technologies are well established solutions for interconnecting WBANs, the high risk of interference in such networks motivates the use of alternative or complementary technologies including optical wireless communications.Index Terms-Wireless sensor networks; body area networks; medical on-body networks; optical wireless communications.

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Section: Existing Wireless Technologies For Wbans and Related Workmentioning

confidence: 99%

Enabling Communication Technologies for Medical Wireless Body-Area Networks

Haddad

Khalighi

2019

2019 Global LIFI Congress (GLC)

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“…While many people suffering from medical conditions are housebound, there are medical benefits from being able to go outside. Wang et al [37] presented a Zigbee based home healthcare monitoring wearable system using ECG, fall detection ad GPS to monitor people outside.…”

Section: Personal Healthcare Monitoring Systemsmentioning

confidence: 99%

Developing residential wireless sensor networks for ECG healthcare monitoring

Dey

Ashour

Shi

et al. 2017

IEEE Trans. Consumer Electron.

256

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Wireless technology development has increased rapidly due to it's convenience and cost effectiveness compared to wired applications, particularly considering the advantages offered by Wireless Sensor Network (WSN) based applications. Such applications exist in several domains including healthcare, medical, industrial and home automation. In the present study, a home-based wireless ECG monitoring system using Zigbee technology is considered. Such systems can be useful for monitoring people in their own home as well as for periodic monitoring by physicians for appropriate healthcare, allowing people to live in their home for longer. Health monitoring systems can continuously monitor many physiological signals and offer further analysis and interpretation. The characteristics and drawbacks of these systems may affect the wearer's mobility during monitoring the vital signs. Real-time monitoring systems record, measure, and monitor the heart electrical activity while maintaining the consumer's comfort. Zigbee devices can offer low-power, small size, and a low-cost suitable solution for monitoring the ECG signal in the home, but such systems are often designed in isolation, with no consideration of existing home control networks and smart home solutions. The present study offers a state of the art review and then introduces the main concepts and contents of the wireless ECG monitoring systems. In addition, models of the ECG signal and the power consumption formulas are highlighted. Challenges and future perspectives are also reported. The paper concludes that such mass-market health monitoring systems will only be prevalent when implemented together with home environmental monitoring and control systems.

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“…The power consumption of the WBAN was minimized and was 10 times less based on the sleep/wake mode of the Zigbee, which transmitted data every 5 s and slept the rest of the time. In Reference [25], an outdoor healthcare monitoring system that could monitor electrocardiogram (ECG) signal and fall events of elderly people was designed and implemented. The falling position of the elderly was determined through GPS, and fall events could be detected based on gravitational acceleration and altitude difference.…”

Section: Related Workmentioning

confidence: 99%

Accurate Fall Detection and Localization for Elderly People Based on Neural Network and Energy-Efficient Wireless Sensor Network

et al. 2018

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Falls are the main source of injury for elderly patients with epilepsy and Parkinson's disease. Elderly people who carry battery powered health monitoring systems can move unhindered from one place to another according to their activities, thus improving their quality of life. This paper aims to detect when an elderly individual falls and to provide accurate location of the incident while the individual is moving in indoor environments such as in houses, medical health care centers, and hospitals. Fall detection is accurately determined based on a proposed sensor-based fall detection algorithm, whereas the localization of the elderly person is determined based on an artificial neural network (ANN). In addition, the power consumption of the fall detection system (FDS) is minimized based on a data-driven algorithm. Results show that an elderly fall can be detected with accuracy levels of 100% and 92.5% for line-of-sight (LOS) and non-line-of-sight (NLOS) environments, respectively. In addition, elderly indoor localization error is improved with a mean absolute error of 0.0094 and 0.0454 m for LOS and NLOS, respectively, after the application of the ANN optimization technique. Moreover, the battery life of the FDS is improved relative to conventional implementation due to reduced computational effort. The proposed FDS outperforms existing systems in terms of fall detection accuracy, localization errors, and power consumption.Energies 2018, 11, 2866 2 of 32 to detect emergency conditions and enable caregivers to respond efficiently. A fall is one of the key factors that can lead to injuries and decrease quality of life, at times resulting in the death of elderly persons. People's rate of falling increases with their age. Falls occur frequently in medical health care centers, hospitals, or houses, with approximately 30% of falls causing injury. Falls in hospitals occur in the rooms of the patients (84%) and during transfer from one place to another (19%). Furthermore, the majority of falls occur in areas adjacent to chairs and beds [2]. Most people who experience falls need special care in a nursing home or hospital, thereby restricting their life activities. The hazard issues of fall or slight fall, especially of the elderly, can be aggravated by chronic diseases, such as osteoporosis, delirium, and dementia [3]. The degree of danger from a fall for aging persons is frequently decided by the location of the fall, time of fall detection, duration and time of transfer and rescue services. Therefore, automatic detection of elderly people's falls along with the locations of the incident is important so that medical rescue staff can be dispatched immediately and so that the family of the elderly can be informed about the incident through a specific wireless network or mobile telephone.The development of microelectromechanical technologies allows the integration of different sensors, and a wireless network is commonly used. Wireless sensor networks (WSNs) comprise a number of tiny and small sensor nodes which are deployed ...

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An outdoor intelligent healthcare monitoring device for the elderly

Cited by 63 publications

References 21 publications

Enabling Communication Technologies for Medical Wireless Body-Area Networks

Enabling Communication Technologies for Medical Wireless Body-Area Networks

Developing residential wireless sensor networks for ECG healthcare monitoring

Accurate Fall Detection and Localization for Elderly People Based on Neural Network and Energy-Efficient Wireless Sensor Network

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