scholarly journals A Novel Framework of Health Monitoring Systems

2021 ◽  
Vol 6 (1) ◽  
pp. 1-14
Author(s):  
Sonam Gupta ◽  
Lipika Goel ◽  
Abhay Kumar Agarwal
Keyword(s):  
Real Time ◽  
Health Monitoring ◽  
The Body ◽  
Healthcare Data ◽  
Quality Of Patient Care ◽  
Health Monitoring Systems ◽  
Iot Devices ◽  
Rate Sensor ◽  
Cloud Servers

IoT plays an important role in the healthcare domain for improving the quality of patient care. To analyze the patients' healthcare data, a real-time health-monitoring system is required. The proposed framework in this work is cable of such monitoring and sending alerts on critical circumstances. In this framework, the use of IoT devices makes it possible. This is very helpful in taking care of especially old wards and children in the absence or their caretakers. The function of alerting the caretakers and to inform hospital in critical condition makes this system one of its kind. Readings of patient pulse rates are taken from the pulse rate sensor and the body temperature is measured by MAX30205, a temperature sensor. The data is collected through sensors and sent over the cloud servers. Linear regression is used for further analysis and prediction of pulse and temperature trend lines. Corresponding health repots will be sent to the nearby hospitals and registered mobile numbers. The framework is validated with real-time patient data, and prediction is made regarding the trends.

Wearable Internet of Cardiac Health (IoCH) Monitoring: The need of the Hour

2021 ◽  
Vol 1 (1) ◽  
Keyword(s):  
Real Time ◽  
Heart Diseases ◽  
Smart Phone ◽  
Analytical Models ◽  
Sensor Technology ◽  
Real Time Processing ◽  
Coronary Heart Diseases ◽  
Cardiac Health ◽  
Healthcare Data ◽  
Iot Devices

In the recent years, the advancements in the wearable sensor technology has made it possible to apply sensor embedded IoT devices such as smart watch, smart glass, smart phone, and smart helmet to monitor the vital cardiac health parameters. The sensor embedded IoT devices collects the healthcare data in a continuous fashion, which are least useful if not stored, processed, and analyzed in a real-time. Moreover, mearly real-time processing of the healthcare data may not serve the purpose as the underlying data might be highly unstructured and messy. Therefore, Artificial Intelligent (AI) assisted analytical models are required to analyze the healthcare data for cardiac early warning prediction. In this paper, we provide a narrative mini review on the recent advancement in wearable technology is discussed. The paper describes the growin problem of Coronary Heart Diseases (CHDs) and the wearable devices that assist in the acquisition of healthcare data.

scholarly journals Activity and health monitoring systems

2018 ◽  
Vol 11 (1) ◽  
pp. 11-14
Author(s):  
Béla-Csaba Simon ◽  
Stefan Oniga ◽  
Iuliu Alexandru Pap
Keyword(s):  
Human Body ◽  
Health Monitoring ◽  
Touch Screen ◽  
Physiological Parameters ◽  
The Body ◽  
Raspberry Pi ◽  
Monitoring Systems ◽  
Solid Base ◽  
Processing Unit ◽  
Health Monitoring Systems

Abstract This paper presents an Open Platform Activity and health monitoring systems which are also called e-Health systems. These systems measure and store parameters that reflect changes in the human body. Due to continuous monitoring (e.g. in rest state and in physical effort state), a specialist can learn about the individual's physiological parameters. Because the human body is a complex system, the examiner can notice some changes within the body by looking at the physiological parameters. Six different sensors ensure us that the patient's individual parameters are monitored. The main components of the device are: A Raspberry Pi 3 small single-board computer, an e-Health Sensor Platform by Cooking-Hacks, a Raspberry Pi to Arduino Shields Connection Bridge and a 7-inch Raspberry Pi 3 touch screen. The processing unit is the Raspberry Pi 3 board. The Raspbian operating system runs on the Raspberry Pi 3, which provides a solid base for the software. Every examination can be controlled by the touch screen. The measurements can be started with the graphical interface by pressing a button and every measured result can be represented on the GUI’s label or on the graph. The results of every examination can be stored in a database. From that database the specialist can retrieve every personalized data.

scholarly journals ZigBee-Based Telemetry System

2010 ◽  
Vol 7 (2) ◽  
pp. 32 ◽  
Author(s):  
L. Khriji ◽  
F. Touati ◽  
N. Hamza
Keyword(s):  
Real Time ◽  
Mobile Device ◽  
Low Cost ◽  
Base Station ◽  
The Body ◽  
Telemetry System ◽  
Real Time Monitoring ◽  
Digital Convergence ◽  
Machine Interface

 Nowadays, there is a significant improvement in technology regarding healthcare. Real-time monitoring systems improve the quality of life of patients as well as the performance of hospitals and healthcare centers. In this paper, we present an implementation of a designed framework of a telemetry system using ZigBee technology for automatic and real-time monitoring of Biomedical signals. These signals are collected and processed using 2-tiered subsystems. The first subsystem is the mobile device which is carried on the body and runs a number of biosensors. The second subsystem performs further processing by a local base station using the raw data which is transmitted on-request by the mobile device. The processed data as well as its analysis are then continuously monitored and diagnosed through a human-machine interface. The system should possess low power consumption, low cost and advanced configuration possibilities. This paper accelerates the digital convergence age through continual research and development of technologies related to healthcare. 

Services and Monitors for Dependability Assessment of Mobile Health Monitoring Systems

2016 ◽  
pp. 602-618 ◽  
Author(s):  
Alessandro Testa ◽  
Antonio Coronato ◽  
Marcello Cinque ◽  
Giuseppe De Pietro
Keyword(s):  
Mobile Health ◽  
Health Monitoring ◽  
Failure Modes ◽  
Vital Signs ◽  
Failure Detection ◽  
Point Of View ◽  
Monitoring Systems ◽  
Health Monitoring Systems ◽  
Mobile Health Monitoring

The problem of failure detection in mHealth monitoring systems is becoming more critical, and the use of wireless technologies and commodity hardware/software platforms pose new challenges to their correct functioning. Remote and continuous monitoring of patients' vital signs aims to improve the quality of life of patients. Such applications, however, are particularly critical from the point of view of dependability. Wireless channels can be affected by packet loss, and cheap and wireless-enabled medical devices can exhibit wrong readings, inducing the medical staff to make wrong decisions. In this chapter, the authors present the results of a Failure Modes and Effects Analysis (FMEA) conducted to identify the dependability threats of health monitoring systems and a set of services and monitors for the assurance of high degrees of dependability to mobile health monitoring systems. Moreover, the authors describe a case study realized to detect failures at runtime.

Edge Computing and IoT Technologies for Medical Applications

2021 ◽  
pp. 270-287
Author(s):  
Kumar R. ◽  
Ayshwarya B. ◽  
Muruganantham A. ◽  
Velmurugan R.
Keyword(s):  
Real Time ◽  
Continuous Glucose Monitoring ◽  
Health Monitoring ◽  
System Architecture ◽  
Glucose Monitoring ◽  
Monitoring Systems ◽  
Time Data ◽  
Health Monitoring Systems ◽  
Sugar Levels ◽  
High Level

Dynamic observation of blood sugar levels is essential for patients diagnosed with diabetes mellitus in order to control the glycaemia. Inevitably, they must accomplish a capillary test three times per day and laboratory test once or twice per month. These regular methods make patients uncomfortable because patients have to prick their finger every time in order to measure the glucose concentration. Modern health monitoring systems rely on IoT. However, the number of advanced IoT-based continuous glucose monitoring systems is small and has several limitations. Here the authors study feasibility of invasive and continuous glucose monitoring system utilizing IoT-based approach. They designed an IoT-based system architecture from a sensor device to a back-end system for presenting real-time data in various forms to end-users. The results show that the system is able to achieve continuous glucose monitoring remotely in real time, and a high level of energy efficiency can be achieved by applying the nRF compound, power management, and energy harvesting unit altogether in the sensor units.

scholarly journals Improving the quality of healthcare data through information design

2017 ◽  
Vol 23 (1) ◽  
pp. 104-122 ◽  
Author(s):  
Guillermina Noël ◽  
Janet Joy ◽  
Carmen Dyck
Keyword(s):  
Patient Care ◽  
Healthcare Providers ◽  
Improve Patient Care ◽  
Quality Of Healthcare ◽  
Healthcare Data ◽  
Advantages And Disadvantages ◽  
Quality Of Patient Care ◽  
Improve Patient ◽  
Insight Into

Improving the quality of patient care, generally referred to as Quality Improvement (QI), is a constant mission of healthcare. Although QI initiatives take many forms, these typically involve collecting data to measure whether changes to procedures have been made as planned, and whether those changes have achieved the expected outcomes. In principle, such data are used to measure the success of a QI initiative and make further changes if needed. In practice, however, many QI data reports provide only limited insight into changes that could improve patient care. Redesigning standard approaches to QI data can help close the gap between current norms and the potential of QI data to improve patient care. This paper describes our study of QI data needs among healthcare providers and managers at Vancouver Coastal Health, a regional health system in Canada. We present an overview of challenges faced by healthcare providers around QI data collection and visualization, and illustrate the advantages and disadvantages of different visualizations. At present, user– centred and evidence–based design is practically unknown in healthcare QI, and thus offers an important new contribution.

scholarly journals A New Covid-19 Tracing Approach using Machine Learning and Drones Enabled Wireless Network

2021 ◽  
Vol 15 (22) ◽  
pp. 111
Author(s):  
Ayoub Alsarhan ◽  
Islam Almalkawi ◽  
Yousef Kilani
Keyword(s):  
Wireless Network ◽  
Communication Technologies ◽  
Base Stations ◽  
Network Systems ◽  
Wireless System ◽  
Wireless Monitoring ◽  
Iot Devices ◽  
Cloud Servers ◽  
Exchange Data

<p class="0abstract">The continuous advancements in wireless network systems have reshaped the healthcare systems towards using emerging communication technologies at different levels. This paper makes two major contributions. Firstly, a new monitoring and tracking wireless system is developed to handle the COVID-19 spread problem. Unmanned aerial vehicles (UAVs), i.e., drones, are used as base stations as well as data collection points from Internet of Things (IoT) devices on the ground. These UAVs are also able to exchange data with other UAVs and cloud servers. Secondly, this paper introduces a new reinforcement learning (RL) framework for learning the optimal signal-aware UAV trajectories under quality of service constraints. The proposed RL algorithm is instrumental in making the UAV movement decisions that maximize the signal power at the receiver and the data collected from the ground agents. Simulation experiments confirm that the system overcomes conventional wireless monitoring systems and demonstrates efficiency especially in terms of flexible continues connectivity, line-of sight visibility, and collision avoidance.</p>

scholarly journals Pemetaan Kehamilan dan Pemantauan Berbasis Web Sistem Informasi Geografis

Respati ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 66
Author(s):  
Arief Munandar ◽  
Arief Setyanto ◽  
Suwanto Raharjo
Keyword(s):  
Real Time ◽  
User Experience ◽  
Health Monitoring ◽  
Success Factor ◽  
Questionnaire Result ◽  
Stake Holder ◽  
Rich Information ◽  
Local Healthcare ◽  
Experience Questionnaire

INTISARIPemantauan kehamilan penting untuk memastikan keberlanjutan negara. Layanan kesehatan lokal (PUSKESMAS) bertanggung jawab atas pemantauan pemeliharaan kesehatan kehamilan di wilayah tertentu. Aktivitas wanita hamil termasuk berjalan sudah lama diamati memiliki korelasi positif dengan kesehatan kehamilan. Perkembangan smartphone yang maju memungkinkan pengembangan aktivitas manusia berbasis waktu yang nyata. Kegiatan ini dapat dilaporkan dan disusun di atas peta geografis dan memberikan informasi yang kaya meningkatkan kualitas manajemen kesehatan kehamilan. Dalam makalah ini kami menyajikan solusi untuk pemetaan kehamilan dalam pemantauan online real-time dari aktivitas mereka. Untuk memastikan keselarasan antara kebutuhan bisnis dan harapan pemegang saham,penilaian sistem dilakukan. Pengalaman Pengguna adalah faktor penentu keberhasilan implementasi sistem. Kuisioner pengalaman pengguna (UEQ) adalah alat umum untuk mengukur pengalaman penggunanya. Dalam makalah ini kami menyajikan sistem pemetaan dan pemantauan waktu nyata online kami dan pendapat pengguna tentang sistem diterapkan. Menurut hasil kuesioner, aplikasi yang kami usulkan dianggap dalam level sedang tetapi, masih perlu perbaikan dalam bebagai aspek. Kata kunci— Pengalaman pengguna, penilaian web, pemantauan kesehatan online. ABSTRACTPregnancy monitoring is important to ensure the sustainability of a nation. Local healthcare (PUSKESMAS) responsible for pregnancy health monitoring and maintenance in certain region. Pregnant woman activities including waking has long been observed to have positive correlation with the pregnancy health. The advance development of smartphone enables the development of human activity in real time based. The activity can be reported and plot on the top of geographical map and provide rich information to improve the quality of pregnancy health managements. In this paper we present our solution to the pregnancy mapping in real time online monitoring of their activity. In order to ensure the alignment between business need and the stake holder expectation an assessment of the system is carried out. User Experience is important success factor of system implementation. User experience questionnaire (UEQ) is a generic tool to measure user experience. In this paper we present our online real time mapping and monitoring system and user opinion about the implemented system. According to the questionnaire result, our proposed application considered to be in moderate level but still need improvements in many aspects..Kata kunci—  User Experience, web assessment, online health monitoring

scholarly journals A Conceptual Framework for Intelligent Power Distribution Transformers

2020 ◽  
Vol 9 (4S2) ◽  
pp. 97-99
Keyword(s):  
Conceptual Framework ◽  
Real Time ◽  
Health Monitoring ◽  
Power Supply ◽  
Power Distribution ◽  
Smart Cities ◽  
Distribution Transformers ◽  
Iot Devices ◽  
Reliable Power Supply ◽  
Continuous Power

With the agenda of developing smart cities there is huge demand for continuous power supply. Power distribution transformers play avital role in providing a reliable power supply. Failure of a transformer will lead to interruptions in power supply. Many parameters lead to transformer failures. Health monitoring of transformer using IoT technology may help take proactive maintenance steps instead of reactive maintenance. When we combine IoT with AI it will more effective and IoT devices will take decision on their own. This paper presents a conceptual framework of this concept which makes the IoT devices in the transformers to make real-time decisions with the use of AI.

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