scholarly journals Portable Heart Rate Detector Based on Photoplethysmography with Android Programmable Devices for Ubiquitous Health Monitoring System

2012 ◽  
Vol 2 (1) ◽  
Author(s):  
Chi Kin Lao ◽  
U Kin Che ◽  
Wei Chen ◽  
Sio Hang Pun ◽  
Peng Un Mak ◽  
...  
Keyword(s):  
Heart Rate ◽  
Monitoring System ◽  
Health Monitoring ◽  
Health Monitoring System ◽  
Programmable Devices

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 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.

Daisy-chain Shape Wearable Health Monitoring System by Using Fuzzy Logic Heart-Rate Extraction

2013 ◽  
Vol 5 (2) ◽  
pp. 125-133
Author(s):  
Takayuki Fujita ◽  
Tomoya Tanaka ◽  
Koji Sonoda ◽  
Manabu Nii ◽  
Kensuke Kanda ◽  
...  
Keyword(s):  
Heart Rate ◽  
Fuzzy Logic ◽  
Monitoring System ◽  
Health Monitoring ◽  
Health Monitoring System

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.

Implementation of Portable Health Monitoring System for Soldiers Using Virtex FPGA Kit

2015 ◽  
Vol 4 (2) ◽  
pp. 5-12
Author(s):  
B. Ponmalathi ◽  
◽  
M. Shenbagapriya ◽  
M. Bharanidharan ◽  
◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Health Monitoring System
Sign in / Sign up

Export Citation Format

Share Document