scholarly journals A Classical Method for Health Monitoring on IoT: From Architecture, Security & Application

2019 ◽  
Vol 8 (11S) ◽  
pp. 1043-1046
Keyword(s):  
Health Care ◽  
Intelligent System ◽  
Classical Method ◽  
Real Life ◽  
Health Data ◽  
Monitoring Systems ◽  
Healthcare Monitoring ◽  
Multiple Sensor ◽  
Iot Devices ◽  
Health Care Monitoring

The development of smart health care monitoring systems, and services is driven by the development of the Internet of Things (IoT). IoT devices produce major role in todays healthcare monitoring systems large number of systems are in this field developing to track health data. The data generated by these devices has to face numerous security related requirements in order to be useful in real life. Among these one of the requirements is provide a detail approach to meet complete intelligent system to monitor health records, The theme proposed here is collect data from multiple sensor use and filter useful information about present state for identifying and integrating the health status of a person. Apart from this how to share health data in secure platform and authenticated architecture node in IoT. In proposed work describes the usage of IoT in health care data in a classical manner which in bounded in an architecture and system devices.

Review on the wearable health-care monitoring system with robust motion artifacts reduction techniques

Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aarthy Prabakaran ◽  
Elizabeth Rufus
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Learning Algorithm ◽  
Motion Artifacts ◽  
Sensor Data ◽  
Monitoring Systems ◽  
Design Modification ◽  
Content Type ◽  
Wearable Monitoring Systems ◽  
Health Care Monitoring

Purpose Wearables are gaining prominence in the health-care industry and their use is growing. The elderly and other patients can use these wearables to monitor their vitals at home and have them sent to their doctors for feedback. Many studies are being conducted to improve wearable health-care monitoring systems to obtain clinically relevant diagnoses. The accuracy of this system is limited by several challenges, such as motion artifacts (MA), power line interference, false detection and acquiring vitals using dry electrodes. This paper aims to focus on wearable health-care monitoring systems in the literature and provides the effect of MA on the wearable system. Also presents the problems faced while tracking the vitals of users. Design/methodology/approach MA is a major concern and certainly needs to be suppressed. An analysis of the causes and effects of MA on wearable monitoring systems is conducted. Also, a study from the literature on motion artifact detection and reduction is carried out and presented here. The benefits of a machine learning algorithm in a wearable monitoring system are also presented. Finally, distinct applications of the wearable monitoring system have been explored. Findings According to the study reduction of MA and multiple sensor data fusion increases the accuracy of wearable monitoring systems. Originality/value This study also presents the outlines of design modification of dry/non-contact electrodes to minimize the MA. Also, discussed few approaches to design an efficient wearable health-care monitoring system.

scholarly journals Review on Smart Health Care Monitoring Systems

2021 ◽  
pp. 418-422
Author(s):  
Vasishth V. Katre ◽  
Dr. P. N. Chatur
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Health System ◽  
Monitoring Systems ◽  
Learning Approach ◽  
Health Issues ◽  
Medical Field ◽  
Machine Learning Approach ◽  
Smart Health ◽  
Health Care Monitoring

Document IoT is leading in smart health care system. Using different sensors it's possible to monitor the patients healthcare remotely. This is unimagined and leads to a spatial longitude amalgamated with machine learning approach. Leading to smart health care, and headway in medical field. It may lead to know severe health issues ahead of time which would be tranquil to the health system. Which would benefit the hospital administration and management. This paper elucidates on the distinct sort of IoT based health care monitoring systems. The aim is to juxtapose the present health care IoT systems.

scholarly journals Definition of a lightweight cryptographic solution to secure health data on IoT and cloud

2021 ◽  
Vol 10 (2) ◽  
pp. 54-60
Author(s):  
Akram Chhaybi ◽  
Saiida Lazaar
Keyword(s):  
Cloud Computing ◽  
Network Architecture ◽  
Limited Resource ◽  
Health Data ◽  
Research Field ◽  
Monitoring Systems ◽  
Economic Activities ◽  
Healthcare Monitoring ◽  
Definition Of

The Internet of Things (IoT) and the Cloud Computing are among the main technologies influencing the quality and efficiency of our social and economic activities. Their importance is quite notable in several areas such as remote medical care and healthcare monitoring systems. These later face difficulties most of them are the expensive costs for the chronic diseases and the hospitals charges specially during the pandemic time. All these issues have led to the creation of new solutions for enhancing the quality of the healthcare systems. In this paper, we focus on the network architecture security including healthcare monitoring systems based on IoT and Cloud Computing. We present a recent review on the research field and we propose a secure solution based on lightweight cryptography in accordance with the limited resource environments within which health data are exchanged. The proposed solution is guaranteeing data confidentiality and ensuring integrity and authenticity.

scholarly journals Recent Development of Flexible Tactile Sensors and Their Applications

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 50
Author(s):  
Trong-Danh Nguyen ◽  
Jun Seop Lee
Keyword(s):  
Health Care ◽  
Rapid Development ◽  
Real Life ◽  
Tactile Sensor ◽  
Body Motion ◽  
Tactile Sensors ◽  
Large Size ◽  
Input Signals ◽  
Different Types ◽  
Health Care Monitoring

With the rapid development of society in recent decades, the wearable sensor has attracted attention for motion-based health care and artificial applications. However, there are still many limitations to applying them in real life, particularly the inconvenience that comes from their large size and non-flexible systems. To solve these problems, flexible small-sized sensors that use body motion as a stimulus are studied to directly collect more accurate and diverse signals. In particular, tactile sensors are applied directly on the skin and provide input signals of motion change for the flexible reading device. This review provides information about different types of tactile sensors and their working mechanisms that are piezoresistive, piezocapacitive, piezoelectric, and triboelectric. Moreover, this review presents not only the applications of the tactile sensor in motion sensing and health care monitoring, but also their contributions in the field of artificial intelligence in recent years. Other applications, such as human behavior studies, are also suggested.

scholarly journals Wireless Health Data Exchange for Home Healthcare Monitoring Systems

Sensors ◽  
2010 ◽  
Vol 10 (4) ◽  
pp. 3243-3260 ◽  
Author(s):  
Malrey Lee ◽  
Thomas M. Gatton
Keyword(s):  
Data Exchange ◽  
Health Data ◽  
Home Healthcare ◽  
Monitoring Systems ◽  
Wireless Health ◽  
Healthcare Monitoring

Chaotic Function Based ECG Encryption System

2017 ◽  
pp. 205-221
Author(s):  
Butta Singh ◽  
Manjit Singh ◽  
Dixit Sharma
Keyword(s):  
Health Care ◽  
Security Analysis ◽  
Medical Data ◽  
Monitoring Systems ◽  
Challenging Issue ◽  
Health Care Monitoring ◽  
Electrocardiogram Ecg ◽  
Ecg Encryption ◽  
Remote Health

Remote health-care monitoring systems communicate biomedical information (e.g. Electrocardiogram (ECG)) over insecure networks. Protection of the integrity, authentication and confidentiality of the medical data is a challenging issue. This chapter proposed an encryption process having a 4-round five steps -encryption structure includes: the random pixel insertion, row separation, substitution of each separated row, row combination and rotation. Accuracy and security analysis of proposed method for 2D ECG encryption is evaluated on MIT-BIH arrhythmia database.

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