A Novel Assistive System using National Instruments LabVIEW Graphical Programming
Abstract
Today health monitoring system related research has been the priority for all as pre diagnosis of any health related issue can help to save lives of many people. It involved multidisciplinary fields of research which included use of electronic sensors, biomedical diagnosis, embedded system, artificial intelligence etc. In today’s busy world most people does not have time for proper medical checkup or does not have the economic support for the expenses related to it. In this paper we have proposed a novel assistive system called AHD (Automated health diagnosis) system which is cost effective, durable and easy to use. It will be very advantageous for elderly people in eliminating the excessive cost of diagnosis and unnecessary travelling to the hospital for whom regular health checkup is a priority aspect. This system will monitor patient health so that necessary medical support can be provided within appropriate time. AHD system involves uses of ECG (Electrocardiogram) signal, body vibration signal and the use of GSM technology. In case of abnormality this system will send text message to the doctor, hospital and the family members. We have used Ardunio Mega 2560 as a microcontroller, AD620 for ECG and LabVIEW as a visual programming language. This system will bridge the gap involved in the patient deteriorating health condition and health care entities.
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Introduction
Heart is the center of human anatomy which is the paramount of all organs. Based on the analysis it is estimated that in the year 2014 27.6 million adult with diagnosed heart diseases and every year almost 614,348 people die due to heart failure [Open data from Centre of Disease Control and Prevention]. Heart disease has ranked no 1 in causes of death. Hypertension or high blood pressure [1] has increased rapidly in few decades and resulted in 92% of all deaths due to heart failure. The advancement in Medical treatment has cure for almost all heart problems if taken care at early stage. Development of biocompatible prostheses, various diagnostic and therapeutic medical instruments ranging from clinical to micro-implants and also the common imaging equipment which involves MRI, EEG, and many other biomedical [2] operations. The AHD system proposed acquires the ECG signal [3] and the body vibration signal [4] and feed it to the microcontroller. The data is acquired and analyzed in real time. However it’s not only the analyzing of a human health but also the necessary action should be taken. In the case of abnormality or if the data acquired during analysis outstrip the threshold provided then the GSM 300 module [5] used here is triggered and a text message is sent about the patient abnormality to the entities provided.
Conclusion
There are considerable differences in the profile of heart signals or ECG signals from one person to another so the result will also vary with differences in the ECG signal. The Most important thing that needs to be kept in mind is to fit the accelerometer perpendicular to our body to ensure to get the actual normal or abnormal tilt angle or vibration of our body.
The goal of this paper is to implement the proposed theory and making a prototype AHD (Automated health diagnosis) which will be very cost effective system, easy to use, durable with no side effects and prevent human from death and dangerous emergences which has been done successfully.