Heart disease detection by android device

1.According to Who, at least three quarters of cardiovascular disease induced global deaths occur in low- and middle- income countries . The problem becomes even more prominent in remote rural areas. In this context, a handy, user-friendly and low cost ECG based heart rate monitoring system including automated interpretation algorithm to detect heart diseases can

be highly auspicious.

2.A wearable vest is designed where necessary signal acquiring electrodes and conditioning circuitry are pre-installed. An android application is developed for continuous monitoring of the user’s ECG and heart rate. The developed algorithm can also diagnose four types of cardiac anomalies, namely, arrythmia, atrial fibrillation, malignant ventricular arrythmia and supravenous ventricular arrythmia and indicates the detected anomaly in

the app. 

3.The system can be especially beneficial to people in remote and rural areas where well equipped diagnostic centres and expert cardiologists are not available, thereby presenting a breakthrough in rural healthcare.

heart diseases have lately become a crucial issue in public healthcare services.Health hazards related to heart diseases can be significantly minimized if early detection is possible. An electrocardiogram
(ECG) based heart rate monitoring system serves as a useful
tool in diagnosing such deadly diseases. Heart diseases and
anomalies cause change in normal ECG signal and so, regular
monitoring of ECG signal leads to early detection of various
arrhythmia and heart diseases. However, conventional ECG
machines being bulky, unhandy and costly, it is not feasible
for general people to own a personal ECG machine for regular
checkup. Hence, a patient needs to visit a health care center
equipped with an ECG machine to monitor his/her heart
condition which is not easily manageable on a regular basis.
Moreover, an expert cardiologist is also needed to interpret
ECG signal accurately. But in a third world country like
Bangladesh, people have limited access to properly equipped
health care services and expert cardiologists; as a consequence,
many people die from heart diseases due to late detection. 

This solution presents an affordable, convenient and smart alternative to conventional methods to diagnose heart diseases at an early stage. The heart-rate visible at one corner of the app interface allows to measure blood pressure as well. Thus the proposed system has the potential to serve as a
humanitarian aid in reducing cardiovascular disease induced deaths worldwide. The wearable vest and the android application being handy and easy to operate, it can be readily adapted in any communities around the world. Even with little knowledge every individual can understand his or her cardiohealth condition in seconds. Consequently, this work can be highly influential where accessibility to cardiologists and wellequipped healthcare center is limited. This can bring about a breakthrough in public healthcare services especially in rural areas where people hardly get enough medical attention. If marketed, this work will undoubtedly boom in refugee camps
and other remote places.

Various works have been done to detect the anomalies in ECG signal such as using long short-term memory (LSTM) networks, self-organizing maps (SOM), analyzing heart rate variability (HRV), discrete wavelet transform
(DWT). Most of these use deep learning models that are not suitable for implementation in smartphone applications. However, the algorithm developed in this work is computationally efficient and implementable in smartphone app. Here, two transforms are used namely, Lomb-Scargle
periodogram and the Hilbert transform and the coefficients are used as the feature for the developed model. These transforms are not very computationally expensive, thereby making the model suitable for android application. Moreover, the model is pre-trained before loading it into the app and so it does not need highly sophisticated smartphones with high speed processors to calculate beats and detect anomalies. The entire system comprising both the wearable unit and the android application is very compact, user-friendly and low cost; and hence, it is affordable by masses and adaptable in any communities around the world.

This project aims to recognize 4 types of anomalies along with the normal heart in app.Firstly, data are collected from patient using a differential amplifier using a wearable device. The collected ECG data are transmitted using a microcontroller to the peer to peer socket connection where they are stored. The data are then fetched by the mobile app where the data are processed to give diagnosis and plot the ECG data.

A cost-effective, novel, wearable and wireless electrocardiogram (ECG) signal monitoring system is developed in this work which symbolizes the implementation of signal processing for humanitarian benefits. The designed system can effectively diagnose four types of cardiac anomalies, namely,
arrythmia, atrial fibrillation, malignant ventricular arrythmia and supravenous ventricular arrythmia and indicates the detected anomaly in android application. It is reusable, userfriendly and of high accuracy at the same time. Incorporation of PCB circuit board has made it more compact. This work has been tested successfully on all types of patients with different heart diseases, and so it is practically feasible. This work will have a great impact in the field of medical science and cardiology. Moreover, the accuracy itself is a remarkable basis for its judgement. This has been one of the most modern way to apply signal processing in real life that would hold an advantage for the general people around us.

Our solution represents an affordable, convenient and smart alternative to conventional methods to diagnose heart diseases at an early stage. The heart-rate visible at one corner of the app interface allows to measure blood pressure as well. Thus the proposed system has the potential to serve as a humanitarian aid in reducing cardiovascular disease induced deaths worldwide. The wearable vest and the android application being handy and easy to operate, it can be readily adapted in any communities around the world. Even with little knowledge every individual can understand his or her cardio-health condition in seconds. Consequently, this work can be highly influential where accessibility to cardiologists and well equipped healthcare center is limited. This can bring about a breakthrough in public healthcare services especially in rural areas where people hardly get enough medical attention. If marketed, this work will undoubtedly boom in refugee camps
and other remote places

1. Currently it's a prototype.

2.If we can manage fund we will start a pilot program which will serve more than 10000 times.

3.On large scale application we can cover most of the rural area in bangladesh.

We want to start a pilot project in a remote area in bogra.later with in five years we want apply this on large scale.

Funding and Technology support in bangladesh is main barriers.We have to import sensors from USA or china also the pads.Which takes more than a month to ship after order. and we feel these devices are not  up to the mark so we planned to develop our own device within next 3/4 years.

We are a team of four people.all are part-time worker.

Our team members are from different background with same interest.we really skillful in algorithm development ,app design and chip design