Long Term and Remote Health Monitoring with Smartphone
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2016, Vol 4, Issue 4
Abstract
The basic aim of our work is to provide solutions with monitoring the heart beat rates of disabled or old people. And also we expect to help the people who have specific heart diseases like potential cardiac arrests and cardiac pacemaker carriers. Besides in case of emergency situations, our system will produce an immediate alarm to provide urgent help for the patients. In the system, emergency situations depend on the heart beat rates. If the heart beat rates of a person decreases at lower rates compared with normal heart beat rates or if the heart beat rates of a person increases at higher rates compared with normal heart beat rates or if big heart beat rate changes occur during the predetermined time period then these situations will be evaluated as emergency situations and these situations should be announced to considered people and places like hospitals, patient’s doctor and patient’s family members. The proposed system colloborates with smartphones and includes sensors to collect data from the patient. Also the system is used to process and compare data with pre defined normal heart beat rates by patient’s doctor and to notice if there is an emergency situation. Besides, in case of an emergengy situation, to inform considered people. But if there is not an emergengy situation exists, then the system stores the collected data and sends them as daily and weekly graphics to the patient’s doctor. These graphics are collected as a result of definite daily activities like sleeping, sitting, standing, walking and jogging. The results are compared with the patient’s doctor’s stated normal heart rate intervals for every activity period. Furthermore, our proposed system structure includes heart pulse sensor, a smartphone screen, bluetooth interface and memory.
Authors and Affiliations
Pinar Kirci*| Istanbul University, Engineering Faculty, Engineering Sciences Department, Istanbul,Turkey, Gokhan Kurt| Istanbul University, Engineering Faculty, Computer Engineering Department, Istanbul,Turkey
Keywords
Related Articles
- EP ID EP804
- DOI 10.18201/ijisae.2016426358
- Views 452
- Downloads 24
Banknote Classification Using Artificial Neural Network Approach
In this study, clustering process has been performed using artificial neural network (ANN) approach on the pictures belonging to our dataset to determine if the banknotes are genuine or counterfeit. Four input parameter...
SVM-Based Sleep Apnea Identification Using Optimal RR-Interval Features of the ECG Signal
Sleep apnea (SA) is the most commonly known sleeping disorder characterized by pauses of airflow to the lungs and often results in day and night time symptoms such as impaired concentration, depression, memory loss, snor...
Process modelling and simulation of a Simple Water Treatment Plant
Water treatment plants are likely to experience problems such as the water level both in the filter cells and in the tanks tend to fluctuate widely. These create the potential for partial drainage, overflow, and potentia...
Intrusion Detection Forecasting Using Time Series for Improving Cyber Defence
The strength of time series modeling is generally not used in almost all current intrusion detection and prevention systems. By having time series models, system administrators will be able to better plan resource alloca...
Comparative Study of Krill Herd, Firefly and Cuckoo Search Algorithms for Unimodal and Multimodal Optimization
Today, in computer science, a computational challenge exists in finding a globally optimized solution from an enormously large search space. Various metaheuristic methods can be used for finding the solution in a large s...