Patient Health Monitoring and Inferencing Arrhythmia Using ECG_Data

2021 ◽  
Author(s):  
Siddhant Thakur Thakur ◽  
Devarshi Patel Patel
Keyword(s):  
Health Monitoring ◽  
Human Life ◽  
Health Sector ◽  
Daily Basis ◽  
Streaming Data ◽  
Model Data ◽  
Old People ◽  
Patient Health ◽  
Iot Devices ◽  
Deep Learning Model

Abstract Health and Fitness is becoming more of an integral part of human life. Being Healthy is crucial in the present fast-growing world. Most difficult aspect to maintaining health is keeping track of it especially for old people. So, we turn to technology, again, and came out with concept of ‘Smart Health Care’. It monitors patient health via IOT devices. It keeps track of EEG rate, Body Temperature, Bpm rate etc. This will not only help patient but also doctors to study their patients on daily basis with daily streaming data. Whenever a patient visits her/his doctors, the doctors would have data of ups and down or any uneven changes, anomalies and observed trends pertaining to the patient. IOT in many ways has transformed the Health Sector immensely. The tracking will be continuous with WIFI module correspondence. The proposed system will used WIFI module and will be constantly uploading patient’s data to cloud and keep track of ECG Rate. It will detect type of arrhythmia on bases ECG rate by CNN Deep Learning model. Data generated from this can be also used for research purposes for better and reliable future.

scholarly journals Efficient Learning of Healthcare Data from IoT Devices by Edge Convolution Neural Networks

2020 ◽  
Vol 10 (24) ◽  
pp. 8934
Author(s):  
Yan He ◽  
Bin Fu ◽  
Jian Yu ◽  
Renfa Li ◽  
Rucheng Jiang
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Learning Model ◽  
Streaming Data ◽  
Smart Devices ◽  
Generative Adversarial Network ◽  
Healthcare Data ◽  
Smart Healthcare ◽  
Iot Devices ◽  
Deep Learning Model

Wireless and mobile health applications promote the development of smart healthcare. Effective diagnosis and feedbacks of remote health data pose significant challenges due to streaming data, high noise, network latency and user privacy. Therefore, we explore efficient edge and cloud design to maintain electrocardiogram classification performance while reducing the communication cost. These contributions include: (1) We introduce a hybrid smart medical architecture named edge convolutional neural networks (EdgeCNN) that balances the capability of edge and cloud computing to address the issue for agile learning of healthcare data from IoT devices. (2) We present an effective deep learning model for electrocardiogram (ECG) inference, which can be deployed to run on edge smart devices for low-latency diagnosis. (3) We design a data enhancement method for ECG based on deep convolutional generative adversarial network to expand ECG data volume. (4) We carried out experiments on two representative datasets to evaluate the effectiveness of the deep learning model of ECG classification based on EdgeCNN. EdgeCNN shows superior to traditional cloud medical systems in terms of network Input/Output (I/O) pressure, architecture cost and system high availability. The deep learning model not only ensures high diagnostic accuracy, but also has advantages in aspect of inference time, storage, running memory and power consumption.

scholarly journals Radiography image analysis using cat swarm optimized deep belief networks

2021 ◽  
Vol 31 (1) ◽  
pp. 40-54
Author(s):  
Amer S. Elameer ◽  
Mustafa Musa Jaber ◽  
Sura Khalil Abd
Keyword(s):  
Learning Process ◽  
Health Sector ◽  
Medical Application ◽  
Health Condition ◽  
Disease Detection ◽  
Detection Accuracy ◽  
Patient Health ◽  
Training Cost ◽  
Kolmogorov Smirnov ◽  
Deep Learning Model

Abstract Radiography images are widely utilized in the health sector to recognize the patient health condition. The noise and irrelevant region information minimize the entire disease detection accuracy and computation complexity. Therefore, in this study, statistical Kolmogorov–Smirnov test has been integrated with wavelet transform to overcome the de-noising issues. Then the cat swarm-optimized deep belief network is applied to extract the features from the affected region. The optimized deep learning model reduces the feature training cost and time and improves the overall disease detection accuracy. The network learning process is enhanced according to the AdaDelta learning process, which replaces the learning parameter with a delta value. This process minimizes the error rate while recognizing the disease. The efficiency of the system evaluated using image retrieval in medical application dataset. This process helps to determine the various diseases such as breast, lung, and pediatric studies.

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.

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

2018 ◽  
Vol 22 (Suppl 2) ◽  
pp. S76-82 ◽  
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

IOT based Remote Health Monitoring System

2021 ◽  
Vol 9 (VI) ◽  
pp. 80-85
Author(s):  
Manish Chaudhary
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Human Life ◽  
New Technology ◽  
Healthcare Sector ◽  
Remote Health Monitoring ◽  
Healthcare Applications ◽  
Health Monitoring System ◽  
Remote Health Monitoring System ◽  
Remote Health

As the technology changing every year so, there has been an attempt to apply the new technology in numerous areas to increase the quality of human life. One of the main fields of research that has seen an implementation of the technology is the healthcare sector. Consequently, our paper is an effort to solve a healthcare problem currently people are facing. Main objective of our paper is to enterprise a remote healthcare system. It covers of three key parts. The first part is, detection of patient’s condition with the proposed system, second is to storing data on cloud storage and the last part is to provide the data for isolated viewing. Remote observing of the data empowers a doctor or custodian to television a patient’s health advancement from anywhere. In this project, we have obtainable an IoT architecture personalized for healthcare applications. The main motive of this scheme is to come up with a Remote Health Monitoring System that will completed with locally available sensors with a view to manufacture it reasonable for everybody

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.

scholarly journals An Overview of Post-COVID-19 Patient’s Health Monitoring Systems

2021 ◽  
Vol 7 (10) ◽  
pp. 61-67
Author(s):  
Chirag Satapathy, Hrishikesh Gokhale, Ali Zoya Syed, Keerti Srivastava and Ruban Nersisson
Keyword(s):  
Health Monitoring ◽  
Human Life ◽  
Vital Role ◽  
Health Conditions ◽  
Smart Sensors ◽  
Monitoring Systems ◽  
Comprehensive Review ◽  
Global Pandemic ◽  
Health Monitoring Systems ◽  
Time Basis

COVID-19 is a global pandemic infecting human life. There are many patients who have recovered from this deadly virus and need to be monitored constantly even when they are at home. IoT plays a vital role in health systems that help to monitor patient’s health conditions. These healthcare frameworks consist of smart sensors to keep a track of patient’s vitals on a real-time basis. These systems will help bridge gaps between the patients and doctors during the pandemic situation. In order to make our system competitive against the already existing devices, we prepared a comprehensive review where we extensively studied other products and compared them to find what's best for the patients.

scholarly journals Health Monitoring and Tracking System for Soldiers Using Internet of Things (IoT)

2021 ◽  
pp. 58-65
Author(s):  
V. Annapoorani ◽  
P. Rathna ◽  
C. Priyanka ◽  
B. Maheshwari ◽  
E. Leela
Keyword(s):  
Health Status ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Tracking System ◽  
Human Life ◽  
Low Cost ◽  
Control Room ◽  
Current Location ◽  
Internet Of Thing

The paper reports an Internet of Thing (IoT) based health monitoring and tracking system for soldiers. The proposed system can be mounted on the soldier’s body to track their health status and current location using GPS. These information will be transmitted to the control room through IoT. The proposed system comprise of tiny wearable physiological equipment’s, sensors, transmission modules. Hence, with the use of the proposed equipment, it is possible to implement a low cost mechanism to protect the valuable human life on the battlefield

scholarly journals GUGAT CERAI: MEMBEBASKAN PREMPUAN DARI PENDERITAAN

QAWWAM ◽  
2019 ◽  
Vol 13 (2) ◽  
pp. 101-122
Author(s):  
Nurmala Fahriyanti
Keyword(s):  
Life Cycle ◽  
Social Development ◽  
Islamic Law ◽  
Human Life ◽  
Daily Basis ◽  
State Law ◽  
Legal Systems ◽  
Religious Law ◽  
The Family

In Mataram West Nusa Tenggara, people is lives are regulated on daily basis by religious law, traditional (adat) law and state law. To understand these complex cultural and religious processes as they affect women in particular, I will examine the issue of divorce, also known as sue divorce. This tipe of divorce is socially-sanctioned. I will focus my examination in Mataram, an city of Lombok West Nusa Tenggara. In Lombok society marriage constitutes an important part of the life cycle.  Someone is not considered an adult until marriage.  Marriage is not only united two individual, but also united two families. However this dream canot be realized over the long term.  If family problems arise and  there are no suitable solutions, people may choose to divorce. For instance, if a wife unable to fulfill her obligations as a wife, her husband can divorce her by verbal means alone, according to any of the three existing legal systems (religious customary or state law). By contrast, if her husband unable to fulfill her obligations as a husband his wife can divorce him in only one way by making an application to Islamic Court to do divorce. In marriage available successful couple builds the family that sakinah, mawaddah and warahmah. But then available also that unsuccessful and end with separate or divorce. Separate constitutes a thing that often happens deep good human life divorce the initiating from the husband and also divorce the initiating from the wife, that its cause islamic law puts attention that adequately significant to that thing. It can appear if understand about islamic law, undoubtedly will find both of previous thing and its terminological  islamic law. There is no divorce without started by marriage. But upon that aim not attained, therefore divorce constitutes last way out that must been sailed through. Divorce can't be done but there is grounds which corrected by religion, adat and state law. In islamic law, that divorce grounds experience developing according to social development. Basically islamic law establishes that divorce reason which is wrangle which really culminates and jeopardize the so called soul safety with “ syiqaq ”. Intention is if worried a couple its happening dispute (dispute not only means wrangle among husband or wife can also distinctive principle and opinion) therefore delegate a someone of its husband family and a someone of wife family. And if both of wife and husband will goodness and they can make resolution and look for the solution, but if there are suitable solution wife or husband can do divorce.

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