Development of a Novel Health Promotion System Based on Wireless Sensor Network and Cloud Computing

Lin, Shih-Sung; Jia-jun, Lin

doi:10.18494/sam.2019.2218

Cited by 6 publications

(5 citation statements)

References 6 publications

(6 reference statements)

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“…At the same time, with the continuous development of science and technology in recent years, there has been a situation of multidisciplinary cross integration, and the detection of vital signs parameters based on wireless sensor network nodes has become a new auxiliary and support method in the clinical diagnosis and treatment process. At present, most of the main wireless sports training monitoring systems are aimed at the detection of conventional human physical parameters, and the related monitoring of the physiological index system, which is one of the four major systems of the human body, is not very common [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Physiological Index Monitoring of Wearable Sports Training Based on a Wireless Sensor Network

Zhang³

2021

Journal of Sensors

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According to the development needs of wireless sensor networks, this paper uses the combination of embedded system and wireless sensor network technology to design a network node platform. This platform is equipped with a sports training sensor module to measure the physiological indicators of the ward in real time. The network node sends the collected physiological parameters to a remote monitoring center in real time. First, according to the generation mechanism of the physiological index signal and the characteristics of the physiological index signal, the wireless sensor network analysis and processing method are used to denoise the physiological index signal, and the wireless sensor network package is used to extract the characteristics of the physiological index, indicating different types of respiration. The energy characteristics of the sound physiological index signals are different, which verifies the feasibility of the independent component analysis method for separating the physiological index and the physiological index signal of the heart sound. Secondly, the hardware system of physiological index signal acquisition is designed, and the selection principle of the hardware unit is introduced. At the same time, the system structure of the monitor is designed, and then, the wireless sensor network sensor node is researched, the hardware of the wearable monitor system is designed, and the hardware architecture and working mode based on the single-chip MSP430F149 are given. Finally, the wireless hardware platform includes the following main modules: sensor part, preprocessing circuit module, microprocessing module based on MSP430 low power consumption, wireless transceiver module based on RF chip CC2420, and power supply unit used to provide energy.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Physiological Index Monitoring of Wearable Sports Training Based on a Wireless Sensor Network

Zhang³

2021

Journal of Sensors

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“…The prior studies have focused on how to offload computation tasks to the cloud system in order to improve application performance on the user's devices and measure the delay optimal results of healthcare data without any risk. The delay and cost-optimal task scheduling of heartbeat healthcare applications into cloud networks were investigated in [34][35][36][37]. The studies accepted the input of data from real-time sensors and provided the application tasks for the actions.…”

Section: Related Workmentioning

confidence: 99%

A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System

Mastoi

Wah

Raj

et al. 2020

Sensors

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Recently, there has been a cloud-based Internet of Medical Things (IoMT) solution offering different healthcare services to wearable sensor devices for patients. These services are global, and can be invoked anywhere at any place. Especially, electrocardiogram (ECG) sensors, such as Lead I and Lead II, demands continuous cloud services for real-time execution. However, these services are paid and need a lower cost-efficient process for the users. In this paper, this study considered critical heartbeat cost-efficient task scheduling problems for healthcare applications in the fog cloud system. The objective was to offer omnipresent cloud services to the generated data with minimum cost. This study proposed a novel health care based fog cloud system (HCBFS) to collect, analyze, and determine the process of critical tasks of the heartbeat medical application for the purpose of minimizing the total cost. This study devised a health care awareness cost-efficient task scheduling (HCCETS) algorithm framework, which not only schedule all tasks with minimum cost, but also executes them on their deadlines. Performance evaluation shows that the proposed task scheduling algorithm framework outperformed the existing algorithm methods in terms of cost.

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“…Some sensors are designed in motion-sensing devices, such as GPS sensors. However, this technology can only provide location services and cannot provide more types of services related to healthy life [3].…”

Section: Introductionmentioning

confidence: 99%

Health Promotion System for the Elderly’s Daily Body Functions Based on Nanoprotective Technology

Hao

2022

Journal of Nanomaterials

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With the acceleration of China’s aging trend, the physical health of the elderly needs more attention and research from us. In particular, many elderly people are prone to accidental injuries during exercise, so how to protect the health of the elderly through high-tech is worthy of more in-depth research. This measure can promote the establishment of a health system for the elderly. This article is mainly based on the research on the health promotion system of the elderly’s daily body functions based on nanoprotective gear technology. It uses the literature method to read a lot of literature to understand the current research status of the elderly’s daily body function and health and the application status of nanotechnology, through the questionnaire and survey method for testing the blood pressure, heart rate, pulse wave velocity, bone density, and other physical indicators of the surveyed elderly population, and organize and analyze the relevant data. In this survey, 28.8% of the elderly who regularly participate in physical exercise have high systolic blood pressure, 33.3% of the elderly who do not participate in exercise regularly have high systolic blood pressure, and most of them are in the low bone density stage. Therefore, nanocare technology can effectively protect the health of the elderly and provide protection during exercise. The research in this article is aimed at illustrating the establishment and improvement of the physical function and health promotion system of the elderly through the impact data on physical indicators and providing a factual basis for the elderly to better participate in physical exercise and improve the health quality of the elderly.

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Development of a Novel Health Promotion System Based on Wireless Sensor Network and Cloud Computing

Cited by 6 publications

References 6 publications

[Retracted] Physiological Index Monitoring of Wearable Sports Training Based on a Wireless Sensor Network

[Retracted] Physiological Index Monitoring of Wearable Sports Training Based on a Wireless Sensor Network

A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System

Health Promotion System for the Elderly’s Daily Body Functions Based on Nanoprotective Technology

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