Review on Reliable and Quality Wearable Healthcare Device (WHD)

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.

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

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.

Next Generation Wearable Devices

2014 ◽  
Vol 6 (2) ◽  
pp. 25-51 ◽  
Author(s):  
Niraj Shakhakarmi
Keyword(s):  
Health Monitoring ◽  
Service Management ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Smart Devices ◽  
Smart Device ◽  
Monitoring Device ◽  
Next Generation ◽  
Spectrum Utilization ◽  
Smart Health

The next generation wearable devices are Smart health monitoring device and Smart sousveillance hat which are capable of using wearable sensors for measuring physiological information, sousveillanace, navigation, as well as smart device to smart device communications over cellular coverage. Smart health monitoring device collect and observe different health related information deploying biosensors and can predict health problems. Smart sousveillance hat provides the brainwaves based fatigue state, training and sousveillance around the wearer. The next generation wearable smart devices deploy the device to device communications in LTE assisted networks with D2D server, D2D Application server and D2D enhanced LTE signalling for D2D service management, spectrum utilization and broad cellular coverage, which make them portable, social, commercial and sustainable. Thus, the wearable device technology will merge with the smart communications besides the health and wellness. Furthermore, the simulation and performance evaluation shows that LTE-D2D wearable smart device communications provides two times more energy efficiency than LTE-UEs cellular communications. The LTE-D2D data rate is also found significantly higher with higher D2D-SINR for lower relative mobility (= 30m/s) and lower D2D distance (<400m) between devices.

Next Generation Wearable Devices

2018 ◽  
pp. 1550-1571
Author(s):  
Niraj Shakhakarmi
Keyword(s):  
Health Monitoring ◽  
Service Management ◽  
Wearable Devices ◽  
Smart Device ◽  
Monitoring Device ◽  
Next Generation ◽  
Related Information ◽  
Health Related ◽  
Smart Health ◽  
And Performance

The next generation wearable devices are Smart health monitoring device and Smart sousveillance hat which are capable of using wearable sensors for measuring physiological information, sousveillanace, navigation, as well as smart device to smart device communications over cellular coverage. Smart health monitoring device collect and observe different health related information deploying biosensors and can predict health problems. Smart sousveillance hat provides the brainwaves based fatigue state, training and sousveillance around the wearer. The next generation wearable smart devices deploy the device to device communications in LTE assisted networks with D2D server, D2D Application server and D2D enhanced LTE signalling for D2D service management, spectrum utilization and broad cellular coverage, which make them portable, social, commercial and sustainable. Thus, the wearable device technology will merge with the smart communications besides the health and wellness. Furthermore, the simulation and performance evaluation shows that LTE-D2D wearable smart device communications provides two times more energy efficiency than LTE-UEs cellular communications. The LTE-D2D data rate is also found significantly higher with higher D2D-SINR for lower relative mobility (≤ 30m/s) and lower D2D distance (<400m) between devices.

scholarly journals Health Monitoring System of Patient Using IoT

2020 ◽  
pp. 56-65
Author(s):  
G. Joga Rao ◽  
P. Karthik ◽  
G. Sai Sameer Kumar ◽  
N. Ajay ◽  
K. Anil Kumar ◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Smart Home ◽  
Health Condition ◽  
Health State ◽  
Home Automation ◽  
Biomedical Data ◽  
Health Monitoring System ◽  
Paramedical Staff ◽  
Patient Health

Now a day’s IoT brings gadgets together and assumes a fundamental part in different methodologies like smart home automation, brilliant industries, smart environment, agricultural fields and patient health monitoring system and so on. One of the approaches is to monitor the health state of the patient and screen it to doctors or paramedical staff through the IoT, as it is hard to screen the patient for 24 hours. So here the patient health condition or status i.e. Pulse rate, Body Temperature, ECG and so on can be measured by utilizing the protruding sensors. These sensors are associated with the node mcu and mcp 3008, it gathers the information i.e. biomedical data from the sensors and the detected biomedical information can be transmitted to the server. The "Thingspeak" named cloud is utilized here to place the detected information into the server. From this server, the information can be envisioned to the specialists and other paramedical staff either by Thingspeak website or Thingview android application. This system also notifies if there is any change in patient parameters. In this way, this Health monitoring system diminishes the toil of specialists and paramedical staff to screen the patient for 24 hours and further reduces time and cost for support.

Patient Health Monitoring Using IoT

2019 ◽  
pp. 30-45 ◽  
Author(s):  
Adusumalli Sai Manoj ◽  
Mohammed Ali Hussain ◽  
Paleti Surya Teja
Keyword(s):  
Wireless Communication ◽  
Health Monitoring ◽  
Short Range ◽  
Vital Signs ◽  
Health Condition ◽  
World Health ◽  
Physiological Data ◽  
Warning Message ◽  
Patient Health ◽  
Remote Healthcare

In today's world, health is one of the vital issues to solve through wireless communication technology. It should be efficient in terms of cost and reliable communication with suitable protocols. To monitor the health conditions of a patient, a mobile care system can be designed with the help of wireless sensor network using IoT. This can be done by integrating different sensors to sense physiological data from a human body and then transmit the data to a remote healthcare cloud through a smartphone as an interface. All the vital signs monitored are portable and will have the ability of short-range wireless communication. Then the data can be uploaded to the central server to keep track of the patient's health condition. In emergency, a notification will be sent to the nearest hospital by sending a warning message through mobile application.

scholarly journals Smart Wearable Device for Elderly Dementia People

2020 ◽  
Vol 9 (4) ◽  
pp. 430-433
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Memory Loss ◽  
Routine Activities ◽  
Physical Activities ◽  
Machine Learning Algorithms ◽  
Wearable Device ◽  
Smart Device ◽  
Indoor Tracking ◽  
Smart Wearable

Millions of individuals worldwide are infected by a serious disorder known as Dementia with collection of symptoms which will embody blackout and feel inconvenient to think, solve problems. Dementia is controllable if the person is within the drafting board of not wellness, so as to help such dementia affected people, the target is to style sensible smart wearable device that motivates and enthusiast their life easier. The good device practises on 3 operations. At first the routine activities are monitored by the sensors and trained using a machine learning algorithms which are fed to a smart device based on the data, it guides the person with physical activities. Then an indoor tracking of a person is carried out by beacon signals through which if person forgets to do next activity, smart device guides them by learning the patterns of a person about their movements in indoor. At last an outdoor tracking of a person is carried out using GPS signals enabled in a smart device which helps the person to find their way to home even when they missed the way or suffers from memory loss. If any different texture or feedback is not received from the patient to any of the above mentioned activities the smart device alerts the caretaker in the form of message through app. Thus, this smart device reduces the burden of the caretaker

scholarly journals Design and Development of a Wearable Device to Monitor Vital Signs of Preggers

2019 ◽  
Vol 9 (2) ◽  
pp. 5212-5214
Keyword(s):  
Health Monitoring ◽  
Rural Areas ◽  
Vital Signs ◽  
Preventive Measure ◽  
Health Condition ◽  
The Body ◽  
Wearable Device ◽  
Optimal Care ◽  
Wearable Systems ◽  
Expectant Mothers

As the growth of the technology rises day to day but still we cannot able to overlook any wearable device which is the friendliest one for pregnant women. Our proposed system is a wearable device which monitors the health condition of expectant mothers’ and transmits data to the respective physician especially in rural areas. With these kind of real time wearable systems, doctors are able to provide higher quality medical services and more personalized healthcare to these women. This health monitoring system would allow a pregnant woman to interact with a physician with almost full functional capability. Preventive measure taken by continuoushealth monitoringof patient from early stages and guidance to avoid prenatal risks is the prime objective of this system. It is only applicable after 16 weeks of pregnancy. The health monitoring device constantly measures the body temperature and heartbeat of the womb and whenever there are fluctuations from the normal value it sends the information to gynecologist at remote place through GSM.The usage of these advanced technologies for pregnant women’s care facilitates optimal care to them and thereby pregnancy period mortality can be reduced substantially.

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