Design and Development of a Self-Powered Wearable Device for a Tele-Medicine Application

Sunitha, K. A.; Dixit, Shantanu K.; Singh, Pranvi

doi:10.1007/s11277-019-06394-y

Cited by 11 publications

(3 citation statements)

References 8 publications

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“…However, few studies in the literature have considered energy prediction for wearable devices. Therefore, based on the architectural resemblance of wearable devices to EH-WS nodes, the energy prediction methods proposed for the latter [59][60][61][62] have been investigated in this study to determine their effectiveness for wearable devices. From this deduction, the energy prediction methods for EH sources that are commonly used by wearable devices would be only considered.…”

Section: Review Of Energy Prediction Methodsmentioning

confidence: 99%

Prediction of Harvestable Energy for Self-Powered Wearable Healthcare Devices: Filling a Gap

2020

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Self-powered or autonomously driven wearable devices are touted to revolutionize the personalized healthcare industry, promising sustainable medical care for a large population of healthcare seekers. Current wearable devices rely on batteries for providing the necessary energy to the various electronic components. However, to ensure continuous and uninterrupted operation, these wearable devices need to scavenge energy from their surroundings. Different energy sources have been used to power wearable devices. These include predictable energy sources such as solar energy and radio frequency, as well as unpredictable energy from the human body. Nevertheless, these energy sources are either intermittent or deliver low power densities. Therefore, being able to predict or forecast the amount of harvestable energy over time enables the wearable to intelligently manage and plan its own energy resources more effectively. Several prediction approaches have been proposed in the context of energy harvesting wireless sensor network (EH-WSN) nodes. In their architectural design, these nodes are very similar to self-powered wearable devices. However, additional factors need to be considered to ensure a deeper market penetration of truly autonomous wearables for healthcare applications, which include low-cost, low-power, small-size, high-performance and lightweight. In this paper, we review the energy prediction approaches that were originally proposed for EH-WSN nodes and critique their application in wearable healthcare devices. Our comparison is based on their prediction accuracy, memory requirement, and execution time. We conclude that statistical techniques are better designed to meet the needs of short-term predictions, while long-term predictions require the hybridization of several linear and non-linear machine learning techniques. In addition to the recommendations, we discuss the challenges and future perspectives of these technique in our review.

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Section: Review Of Energy Prediction Methodsmentioning

confidence: 99%

Prediction of Harvestable Energy for Self-Powered Wearable Healthcare Devices: Filling a Gap

2020

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“…To increase the capability of practical use, wireless communication technology was utilized in self-powered sensing systems [ 223 , 224 ]. For example, a self-powered wearable sensing system can be used for on-demand, continuous, and real-time pulse monitoring, which includes a TENGs power supply unit, pressure sensor, and multifunctional circuit.…”

Section: Wearable Biosensorsmentioning

confidence: 99%

“…The sensor acquires health parameter data from different parts of the body and sends it to a microcontroller. The microcontroller is coupled with a Wi-Fi module for data communication with a cloud-based website displaying real-time health parameters through the website [ 224 ].…”

Section: Wearable Biosensorsmentioning

confidence: 99%

Flexible and Wearable Biosensors for Monitoring Health Conditions

et al. 2023

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Flexible and wearable biosensors have received tremendous attention over the past decade owing to their great potential applications in the field of health and medicine. Wearable biosensors serve as an ideal platform for real-time and continuous health monitoring, which exhibit unique properties such as self-powered, lightweight, low cost, high flexibility, detection convenience, and great conformability. This review introduces the recent research progress in wearable biosensors. First of all, the biological fluids often detected by wearable biosensors are proposed. Then, the existing micro-nanofabrication technologies and basic characteristics of wearable biosensors are summarized. Then, their application manners and information processing are also highlighted in the paper. Massive cutting-edge research examples are introduced such as wearable physiological pressure sensors, wearable sweat sensors, and wearable self-powered biosensors. As a significant content, the detection mechanism of these sensors was detailed with examples to help readers understand this area. Finally, the current challenges and future perspectives are proposed to push this research area forward and expand practical applications in the future.

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A Self-powered Wearable Wireless Sensor System Powered by a Hybrid Energy Harvester for Healthcare Applications

Mohsen

Zekry

Youssef

et al. 2020

Wireless Pers Commun

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Design and Development of a Self-Powered Wearable Device for a Tele-Medicine Application

Cited by 11 publications

References 8 publications

Prediction of Harvestable Energy for Self-Powered Wearable Healthcare Devices: Filling a Gap

Prediction of Harvestable Energy for Self-Powered Wearable Healthcare Devices: Filling a Gap

Flexible and Wearable Biosensors for Monitoring Health Conditions

A Self-powered Wearable Wireless Sensor System Powered by a Hybrid Energy Harvester for Healthcare Applications

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