scholarly journals Healthcare Monitoring System using Cloud and Machine Learning

2020 ◽  
Vol 9 (6) ◽  
pp. 549-552
Keyword(s):  
The Elderly ◽  
Health Condition ◽  
Heart Beat ◽  
Raspberry Pi ◽  
Close Relative ◽  
Web Page ◽  
Critical Situation ◽  
Healthcare Monitoring ◽  
Heart Beat Rate ◽  
Made In

The prototype is a working model, incorporating sensors for measuring human parameters like body temperature, heart beat rate. A Raspberry pi microcontroller board is used to analyze the patient's Temperature, heartbeat inputs. This project offers a system that will track the crucial parameters a patient's condition to track continuously. If a patient experiences some critical situation, the unit also triggers an alarm in a patient’s close relative and to the doctor in various methodology. This is very useful for future analyzes and review of the health condition of patients. This project can be adapted for more flexible medical applications, by integrating dental sensors and announcement systems, As a very effective and devoted patient care network, it thus makes it useful in hospitals. The world is facing a widespread problem in recent years, which is increasing the number of elderly people. The home-care dilemma for the elderly is something that is very important. In this, Wireless section is becoming a major platform for many services & applications, Web page tracking is also used here, but also a controller. Paper introduces a standardized health monitoring framework as a step towards the progress that has been made in this department to date

scholarly journals IoT health monitoring system for preventing and controlling risk in confined space using microcontrollers

2019 ◽  
Vol 8 (4) ◽  
pp. 619
Author(s):  
H. A. Saeed ◽  
M. H. Mazlan ◽  
A. H. Ibrahim ◽  
H. E. Hamzah ◽  
H. H. Qasim ◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Smartphone Application ◽  
Heart Beat ◽  
Confined Space ◽  
Health Monitoring System ◽  
Healthcare Monitoring ◽  
Science Community ◽  
Heart Beat Rate ◽  
Rate Sensor

Healthcare monitoring is a field that caught many researchers from the computer science community in the last decade. In the literature, various levels of people have been considered when proposing a health monitoring system. However, some aspects are still not adequately tackled such as monitoring workers’ health status within confined space where workers would be located in underground environment with less oxygen and a lot of dust. This paper proposes an IoT health monitor system for worker in confined places. The proposed system utilizes four types of microcontroller sensors including LM35 for measuring body temperature, heart beat rate sensor, blood pressure sensor and LPG gas sensor. All the aforementioned sensors are being connected via a GPS module in order to transmit the readings into a smartphone application. A simulation has been conducted to test the proposed sensors where competitive commercial measures have been used as a benchmark. Result of simulation showed that the sensors have fair accuracy that is near-identical to the benchmark. 

scholarly journals A Human Expert Based Approach to Heartrate Monitoring System with Automatic Message Sending Via Smartphones

2021 ◽  
pp. 401-405
Author(s):  
Dr. J. Arun ◽  
Saranya. N
Keyword(s):  
Heart Rate ◽  
Heart Beat ◽  
Smart Phones ◽  
Rate Measurement ◽  
Human Expert ◽  
Critical Situation ◽  
Alert Message ◽  
Health Quality ◽  
Heart Beat Rate ◽  
User Friendly

The objective of the paper was to propose a human – expert based approach on a heartbeat calculating and message sending system. Heart related disease is rising among today's population. The need for an accurate yet affordable heart rate is essential to ensure one's health quality. However, in today's market, most heart monitors are expensive and are not user friendly. Our goal is to calculate the heart beat using smart phones that is user friendly and less expensive. In Today's situation 50% percent of people using Smart phones, so in order to make our goal possible we are using the smart phones to calculate the humans heart beat rate accurate. In this project, a real-time heart rate measurement technique called Photo-Plethysmography (PPG) is implemented using simple infrared transmitter and receiver circuit. Our main aim to decrease the death rate of humans due to heart related diseases, so we can assign the smart phones to sending an emergency alert message to the particular persons relatives and to an ambulance or to the nearby doctor resources along with the location of the user when the Blood pressure is increasing/decreasing then normal rate. By sending an alert message the lives of an human will be recovered from critical situation.

scholarly journals Health care monitoring and accident tracking system based on location awareness

2018 ◽  
Vol 7 (2.7) ◽  
pp. 246
Author(s):  
U Sai Nishita ◽  
K Anusha ◽  
K Ramya SriSai ◽  
Dr Mohammed Ali Hussain
Keyword(s):  
Monitoring System ◽  
Tracking System ◽  
Heart Beat ◽  
Health Conditions ◽  
Prototype Model ◽  
Location Awareness ◽  
Body Sensors ◽  
Healthcare Monitoring ◽  
Heart Beat Rate ◽  
Health Care Monitoring

The main focus of this paper is to design a prototype model such that it embeds different body sensors to measure parameters like body temperature, heart beat rate etc., We used an Arduino UNO board, body sensors like Heartbeat sensor and Temperature sensor to analyze the inputs from the patient’s body and if there are any abnormalities regarding the pulse rate and temperature of the patient the monitoring system would give an alarm and display it on LCD. These processed values are recorded online and stored in the cloud database like Thingspeak and can be accessed through any android mobile or computer systems from any corner of the globe. This system is more useful in transport departments, especially in Buses as a very efficient and dedicated driver healthcare monitoring system. By using this model we can help all drivers who are dedicated to their work and need to be monitored due to their abnormal health conditions. Thus helping them in avoiding fatal accidents and saving the valuable lives of passengers riding along with them in the bus.

scholarly journals Internet of Things(IoT) Based Multilevel Drunken Driving Detection and Prevention System Using Raspberry Pi 3

2020 ◽  
Author(s):  
Viswanatha V ◽  
Venkata Siva Reddy R ◽  
Ashwini Kumari P ◽  
Pradeep kumar S
Keyword(s):  
Internet Of Things ◽  
Alcohol Intake ◽  
Heart Beat ◽  
The Body ◽  
Raspberry Pi ◽  
Ignition System ◽  
Prevention System ◽  
Heart Beat Rate ◽  
Drunken Driving ◽  
Death Cases

In this paper, the proposed system has demonstrated three ways of detecting alcohol level in the body of the car driver and prevent car driver from driving the vehicle by turning off the ignition system. It also sends messages to concerned people. In order to detect breath alcohol level MQ-3 sensor is included in this module along with heartbeat sensor which can detect the heart beat rate of driver, facial recognition using webcam & MATLAB and a Wi-Fi module to send a message through the TCP/IP App, a Raspberry pi module to turn off the ignition and an alarm as prevention module. If a driver alcohol intake is more than the prescribed range, set by government the ignition will be made off provided either his heart beat abnormal or the driver is drowsy. In both the cases there will be a message sent to the App and from the App you can send it to family, friend, and well-wisher or nearest cop for the help. The system is developed considering the fact if driver is drunk and he needs a help, his friend can drive the car if he is not drunk. The safety of both the driver and the surroundings are aimed by this system and this aids in minimizing death cases by drunken driving and also burden on the cops.

The Chemical Effect in Medicine Interaction Determining the Form and Speed of Psychical Involution in the Prosthetic Restauration in the Edentulous

2018 ◽  
Vol 69 (8) ◽  
pp. 2306-2310
Author(s):  
Aureliana Caraiane ◽  
Razvan Leata ◽  
Veronica Toba ◽  
Doina Vesa ◽  
Luana Andreea Macovei ◽  
...  
Keyword(s):  
Practical Importance ◽  
Psychosocial Problems ◽  
Well Being ◽  
The Elderly ◽  
Chemical Effect ◽  
Special Importance ◽  
Dramatic Form ◽  
Specific Disorders ◽  
The Individual ◽  
Made In

The progress made in dentistry during the latest decades is due, conceptually, to the new, systemic vision of man, which has also taken place in this field of medicine. In this context, the link between organic and psychic is indestructible. Thus illness is understood as a drama in which the somatic process has a psychic value, and the mental one has a body value. It is known that the morphological and functional integrity of the dental system, health and vigorousness, gives the individual a state of well-being that affects his somatic and psychic health, as any disturbance at this level entails repercussions in psychological and social behavior. Such a disruption is the total edification that seriously alters not only the dental system but the whole organism, putting various biological and psychosocial problems to the practitioner. The total expression represents not only a physical disability but also a psychological one. A special importance in studying psychological changes at total edentulous presents the psychological aspects of senile involution. This is not only a theoretical but also a practical importance due to the increase in the number of elderly people. Through the researches of the present paper we intend to present the reality of the psychological manifestations in the total edentation, which is objectified on different methods of psychodiagnosis in the first part, in order for the second part to be addressed to problems of prosthetic psychotherapy.The study comprises a group of 43 patients, of whom 24 were men and 19 women with total uni or bimaxilar edentation. Total edentation can be and is responsible for somatopsychic alterations, along with other pathogens, general, local, social, which sometimes can take a dramatic form, converting, where the area is also favorable, a pure somatic disease, for those who are not in psychopathy or even psychosis, although these latter cases are extremely rare and especially in youngsters, which would disrupt not only the person�s behavior as an individual, but also their status, function and social integrity. The treatment of dental and psychological complex is mandatory for any patient, but especially for the elderly, where recovery is more difficult, with disease-specific disorders adding to those of senescence.

scholarly journals Smart Wearable Sensors Based on Triboelectric Nanogenerator for Personal Healthcare Monitoring

Micromachines ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 352
Author(s):  
Ruonan Li ◽  
Xuelian Wei ◽  
Jiahui Xu ◽  
Junhuan Chen ◽  
Bin Li ◽  
...  
Keyword(s):  
Medical Care ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
The Elderly ◽  
The Body ◽  
Assessment System ◽  
Triboelectric Nanogenerator ◽  
Personal Healthcare ◽  
Healthcare Monitoring ◽  
Smart Wearable

Accurate monitoring of motion and sleep states is critical for human health assessment, especially for a healthy life, early diagnosis of diseases, and medical care. In this work, a smart wearable sensor (SWS) based on a dual-channel triboelectric nanogenerator was presented for a real-time health monitoring system. The SWS can be worn on wrists, ankles, shoes, or other parts of the body and cloth, converting mechanical triggers into electrical output. By analyzing these signals, the SWS can precisely and constantly monitor and distinguish various motion states, including stepping, walking, running, and jumping. Based on the SWS, a fall-down alarm system and a sleep quality assessment system were constructed to provide personal healthcare monitoring and alert family members or doctors via communication devices. It is important for the healthy growth of the young and special patient groups, as well as for the health monitoring and medical care of the elderly and recovered patients. This work aimed to broaden the paths for remote biological movement status analysis and provide diversified perspectives for true-time and long-term health monitoring, simultaneously.

scholarly journals On the Stability of a Stochastic Nonlinear Model of the Heart Beat Rate During a Treadmill Exercise

2020 ◽  
Vol 53 (2) ◽  
pp. 16457-16461
Author(s):  
Mohammad Mostafa Asheghan ◽  
Bahram Shafai ◽  
Joaquín Míguez
Keyword(s):  
Nonlinear Model ◽  
Treadmill Exercise ◽  
Heart Beat ◽  
Beat Rate ◽  
Heart Beat Rate ◽  
The Stability

scholarly journals STHM: A Secured and Trusted Healthcare Monitoring Architecture Using SDN and Blockchain

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1787
Author(s):  
Ezedin Barka ◽  
Sofiane Dahmane ◽  
Chaker Abdelaziz Kerrache ◽  
Mohamad Khayat ◽  
Farag Sallabi
Keyword(s):  
Monitoring System ◽  
Trust Management ◽  
Software Defined Networking ◽  
The Elderly ◽  
Optimal Level ◽  
Security And Privacy ◽  
Patient Privacy ◽  
Security Technologies ◽  
Blockchain Technology ◽  
Healthcare Monitoring

Healthcare professionals and scholars have emphasized the need for IoT-based remote health monitoring services to track the health of the elderly. Such systems produce a large amount of data, necessitating the security and privacy of that data. On the other hand, Software Defined Networking (SDN) integration could be seen as a good solution to guarantee both flexibility and efficiency of the network which is even more important in the case of healthcare monitoring. Furthermore, Blockchain has recently been proposed as a game-changing tool that can be integrated into the Internet of Things (IoT) to have the optimal level of security and privacy. However, incorporating Blockchain into IoT networks, which rely heavily on patients’ health sensors, is extremely difficult. In this paper, a secure Healthcare Monitoring System (HMS) is proposed with a focus on trust management issues. The architecture seeks to protect multiple healthcare monitoring system components and preserves patient privacy by developing a security interface where separate security modules can be integrated to run side by side to ensure reliable HMS. The security framework architecture we propose takes advantage of the blockchain technology as a secure and timely information back-end. STHM is a proposal that uses Software-Defined Networking (SDN) as the communication medium that allows users to access SDN’s different functional and security technologies and services. Simulation results show that the use of Blockchain for the SDN-based healthcare monitoring can ensure the desired flexibility and security for a very lightweight additional overhead.

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