Design of a Health Monitoring System for Heart Rate and Body Temperature Sensing Including Embedded Processing Using ARM Cortex M3

2019 ◽  
pp. 93-103
Author(s):  
Mahasweta Ghosh ◽  
Samik Basu ◽  
Soumya Pandit ◽  
Soma Barman
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Monitoring System ◽  
Health Monitoring ◽  
Temperature Sensing ◽  
Health Monitoring System ◽  
Embedded Processing

scholarly journals Femone Health Monitoring System

2019 ◽  
Vol 8 (10) ◽  
pp. 3243-3248
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Monitoring System ◽  
Health Monitoring ◽  
Health Care Facilities ◽  
Oxygen Level ◽  
Health Monitoring System ◽  
Neonatal Deaths ◽  
Care Facilities ◽  
Medical Reports

As per the medical reports, each year 4 million newborns die within 28 days of birth and more suffer from disabilities, diseases, infections, and injuries. According to 2017 death rate, about 8,02,000 neonatal deaths are reported in India. The inability to detect any discomforts/criticalness that the babies can go through in the initial stages of life can lead to permanent disabilities/disorders and even death. The absolutely imperative approach to shrunken the mortality rate is to detect neonatal criticalness and give timely attention. Enabling an environment for newborn safety depends on the availability of adequate health-care facilities, equipment’s, medicines and emergency care when needed. Femone Health Monitoring System is developed with an aim to detect the difficulties faced by the babies and make it available to the user as well as doctors for easy diagnosis and treatment. The proposed technique is a wireless noninvasive system which monitors the vital physiological parameters of neonates including heart rate, oxygen level, body temperature, and wetness. Heart rate, oxygen level and body temperature are measured using the principle of photoplethysmography (PPG). The measured parameters are sent to an MQTT server and are published through the Femone app in real-time. The system also records the neonatal conditions in a day to day manner for future reference. A number of clinical trials were conducted in order to check the performance and for validation.

Design and Development of Internet of Things-Based Wireless Health Monitoring System

2019 ◽  
pp. 156-167
Author(s):  
Neetu Marwah
Keyword(s):  
Body Temperature ◽  
Internet Of Things ◽  
Monitoring System ◽  
Health Monitoring ◽  
Heart Beat ◽  
Preliminary Treatment ◽  
Wireless Health ◽  
Health Monitoring System ◽  
Course Of Action ◽  
Wireless Health Monitoring

In this world with exponentially increasing fitness risks, the authors are proposing an Internet of Things (IoT) based device named Wireless Health Monitoring System (WHMS), to put patients' thinking at ease. We are dwelling in a world which is no longer viable for a doctor to keep a watch over a patient's indispensable parameters all the time. This device is helpful for aged people staying alone at home, people dwelling on hills, pregnant females anywhere, and for busy people who cannot often contact a doctor. A health practitioner, some distance away from the patient, needs to understand his heart rate and body temperature of the physique to begin preliminary treatment. Keeping this as a preluding landmark, the authors are proposing an embedded gadget which can measure the rate of heart beat and body temperature, and keep the statistics on the cloud server for the doctor to determine the next course of action.

Portable heart rate measurement for remote health monitoring system

2015 ◽  
Author(s):  
Hasmah Mansor ◽  
Siti Sarah Meskam ◽  
Nasiha Sakinah Zamery ◽  
Nur Quraisyia Aqilah Mohd Rusli ◽  
Rini Akmeliawati
Keyword(s):  
Heart Rate ◽  
Monitoring System ◽  
Health Monitoring ◽  
Rate Measurement ◽  
Remote Health Monitoring ◽  
Health Monitoring System ◽  
Heart Rate Measurement ◽  
Remote Health Monitoring System ◽  
Remote Health

Smart Health Monitoring System

2020 ◽  
Vol 17 (5) ◽  
pp. 2261-2265
Author(s):  
P. Ezhilarasi ◽  
S. Rajeshkannan ◽  
P. Gokulaprasath
Keyword(s):  
Heart Rate ◽  
Monitoring System ◽  
Health Monitoring ◽  
Heart Attack ◽  
Death Rate ◽  
The Internet ◽  
Health Monitoring System ◽  
The Status ◽  
Smart Health ◽  
Growing Population

This paper proposes a Smart Health Monitoring System (SHMS) which monitors and takes care of patient's health. Nowadays in hospital, taking care of patient is a big task because of growing population and also regular check-ups are not at all possible. The percentage of death rate by only heart attack is 24.8%, which is not higher but these death rate can be reduced by monitoring the condition of patient's heart every second continuously. This can be achieved with the help of a technology called Internet of Things (IoT). The concept of IoT is that it can connect any device with the internet. Here the sensor can measure the heart rate and connects to the internet. Then it will update the status of the patient's heart to the person who wants to monitor the patient. Hence the prevention of death due to heart attack is being introduced. This idea can also be implemented for workers in industry

scholarly journals Microcontroller Based Wireless Patient Health Monitoring System

2021 ◽  
pp. 568-573
Author(s):  
Prof. Shilpa Katre ◽  
Himani Khedulkar ◽  
Anjali Thul ◽  
Pratik Tokeka
Keyword(s):  
Blood Pressure ◽  
Body Temperature ◽  
Monitoring System ◽  
Pulse Rate ◽  
Health Monitoring ◽  
Threshold Value ◽  
Health Monitoring System ◽  
Patient Health ◽  
Doctor's Office ◽  
Advanced System

This paper represents the design and simulation of a wireless patient health monitoring system. Generally, in the hospitals where patient’s body temperature needs to be continuously monitored, which is usually done by a doctor or other paramedical staff by continuously observing the temperature, pulse rate, blood pressure and maintaining its record. This is a very monotonous routine and can really be nerve-racking, especially in overcrowded hospitals. The primary function of this system is to monitor the temperature, blood pressure and pulse rate of a patient’s body, and transmit the information wirelessly to the doctor’s office on the LCD display unit. In this advanced system, a transmitting unit constantly scan patient’s body temperature, blood pressure and pulse rate through digital sensors, and shows them on the transmitter LCD. At the receiving end, a receiver is used to collect the data, decode it and feed them to another microcontroller which then displays it on the doctor’s LCD screen. The receiver unit is kept in the doctor’s office to constantly show the patient’s body temperature, blood pressure and pulse rate wirelessly. An alarm is also activated at the receiver end where the doctor will be, and is activated when the patient’s temperature, blood pressure and pulse rate goes below or above the normal human threshold value, which are 37°C, SBP- less than 120 mm Hg, DBP- less than 80mm Hg and 70 beats per minute. An SMS will be sent to the doctor, just in case he or she is outside the area and to present as a path for continuous update. The advanced system was simulated using Proteus software and programs written in Embedded C language. The result achieved shows a systematic method of relating information to the doctor on duty for urgent attention to patients.

scholarly journals FPGA Based Health Monitoring System

2020 ◽  
Vol 8 (5) ◽  
pp. 5573-5575
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Monitoring System ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
Vital Signs ◽  
The Body ◽  
Health Report ◽  
Reduced Physical Activity ◽  
Healthcare Monitoring

In present days, Health issues are occurring more frequently. Because of climatic changes, industrialization and technical advancement which led to reduced physical activity. Saving lives requires monitoring the health conditions of people who have chronic diseases or heart related problems. Decrease in morbidity from disease and extend lives can be achieved by earlier detection of problems. When we reach a certain age we have to keep monitoring the three vital signs of the body to extend our lives. In this paper, we are designing a healthcare monitoring system which can either monitor or measure three vital signs i.e. heart rate, respiratory rate and body temperature of human body. The developed system uses wearable sensors to measure body temperature, heart rate and breathing rate. In order to minimize human involvement and respond at an appropriate time a health monitoring designed FGPA system will take the data from the sensors and analyze the date. It will give the health report, health status and alerts the concerned whenrequired.

scholarly journals IoT Based Patient Health Monitoring System

2021 ◽  
Vol 9 (12) ◽  
pp. 2158-2162
Author(s):  
U. Sravan
Keyword(s):  
Body Temperature ◽  
Monitoring System ◽  
Health Monitoring ◽  
Health Condition ◽  
Heart Beat ◽  
Critical Values ◽  
Health Monitoring System ◽  
Oxygen Levels ◽  
Patient Health

Abstract: An IoT based health monitoring system records the patient’s heart beat, body temperature, oxygen levels of blood etc. It can also be used to inform the timing of medication and provides live monitoring of health condition of patient to the doctor available in his chamber. It also sends an SMS alert whenever the health parameter readings go beyond critical values. Keywords: Heart beat, Temperature, Oxygen Levels, Medication timing, SMS alert.

scholarly journals An Autonomous Wireless Health Monitoring System Based on Heartbeat and Accelerometer Sensors

2019 ◽  
Vol 8 (3) ◽  
pp. 39 ◽  
Author(s):  
Saif Saad Fakhrulddin ◽  
Sadik Kamel Gharghan
Keyword(s):  
Heart Rate ◽  
Monitoring System ◽  
Health Monitoring ◽  
Measurement Accuracy ◽  
Fall Detection ◽  
Daily Activities ◽  
Rate Measurement ◽  
Wireless Health ◽  
Health Monitoring System ◽  
Patient Falls

Falls are a main cause of injury for patients with certain diseases. Patients who wear health monitoring systems can go about daily activities without limitations, thereby enhancing their quality of life. In this paper, patient falls and heart rate were accurately detected and measured using two proposed algorithms. The first algorithm, abnormal heart rate detection (AHRD), improves patient heart rate measurement accuracy and distinguishes between normal and abnormal heart rate functions. The second algorithm, TB-AIC, combines an acceleration threshold and monitoring of patient activity/inactivity functions to accurately detect patient falls. The two algorithms were practically implemented in a proposed autonomous wireless health monitoring system (AWHMS). The AWHMS was implemented based on a GSM module, GPS, microcontroller, heartbeat and accelerometer sensors, and a smartphone. The measurement accuracy of the recorded heart rate was evaluated based on the mean absolute error, Bland–Altman plots, and correlation coefficients. Fourteen types of patient activities were considered (seven types of falling and seven types of daily activities) to determine the fall detection accuracy. The results indicate that the proposed AWHMS succeeded in monitoring the patient’s vital signs, with heart rate measurement and fall detection accuracies of 98.75% and 99.11%, respectively. In addition, the sensitivity and specificity of the fall detection algorithm (both 99.12%) were explored.

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