Energy-Saving Adaptive Sampling Mechanism for Patient Health Monitoring Based IoT Networks

Communications in Computer and Information Science - New Trends in Information and Communications Technology Applications ◽

10.1007/978-3-030-93417-0_11 ◽

2021 ◽

pp. 163-175

Author(s):

Duaa Abd Alhussein ◽

Ali Kadhum Idrees ◽

Hassan Harb

Keyword(s):

Energy Saving ◽

Health Monitoring ◽

Adaptive Sampling ◽

Patient Health

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Internet of things-based cloud computing platform for analyzing the physical health condition

Technology and Health Care ◽

10.3233/thc-213003 ◽

2021 ◽

pp. 1-15

Author(s):

Mengyao Cui ◽

Seung-Soo Baek ◽

Rubén González Crespo ◽

R. Premalatha

Keyword(s):

Cloud Computing ◽

Internet Of Things ◽

Health Monitoring ◽

Tracking System ◽

Disease Diagnosis ◽

Health Condition ◽

Computing Platform ◽

Concept Model ◽

Patient Health ◽

Cloud Servers

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.

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Recent Patient Health Monitoring Platforms Incorporating Internet of Things-Enabled Smart Devices

International Neurourology Journal ◽

10.5213/inj.1836144.072 ◽

2018 ◽

Vol 22 (Suppl 2) ◽

pp. S76-82 ◽

Cited By ~ 24

Author(s):

Minhee Kang ◽

Eunkyoung Park ◽

Baek Hwan Cho ◽

Kyu-Sung Lee

Keyword(s):

Internet Of Things ◽

Health Monitoring ◽

Smart Devices ◽

Patient Health ◽

Recent Patient

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Review on Reliable and Quality Wearable Healthcare Device (WHD)

International Journal of Reliable and Quality E-Healthcare ◽

10.4018/ijrqeh.2021100101 ◽

2021 ◽

Vol 10 (4) ◽

pp. 1-25

Author(s):

Nimi W. S. ◽

P. Subha Hency Jose ◽

Jegan R.

Keyword(s):

Health Monitoring ◽

Wearable Devices ◽

Health Condition ◽

Wearable Device ◽

Smart Device ◽

Signal Acquisition ◽

Medical Practitioners ◽

Quality Signal ◽

Patient Health ◽

Smart Wearable

This paper presents a brief review on present developments in wearable devices and their importance in healthcare networks. The state-of-the-art system architecture on wearable healthcare devices and their design techniques are reviewed and becomes an essential step towards developing a smart device for various biomedical applications which includes diseases classifications and detection, analyzing nature of the bio signals, vital parameters measurement, and e-health monitoring through noninvasive method. From the review on latest published research papers on medical wearable device and bio signal analysis, it can be concluded that it is more important and very essential to design and develop a smart wearable device in healthcare environment for quality signal acquisition and e-health monitoring which leads to effective measures of multiparameter extractions. This will help the medical practitioners to understand the nature of patient health condition easily by visualizing a quality signal by smart wearable devices.

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