AU2020101730A4

AU2020101730A4 - A system for real-time heart health monitoring

Info

Publication number: AU2020101730A4
Application number: AU2020101730A
Authority: AU
Inventors: Pratik Kanani; Mamta Padole
Original assignee: Padole Mamta Dr
Current assignee: Padole Mamta Dr
Priority date: 2020-08-08
Filing date: 2020-08-08
Publication date: 2020-09-17
Anticipated expiration: 2028-08-08

Abstract

The present invention relates to a system for real time heart health monitoring. The object is to provide real time handy ECG monitoring and analysis system comprising Raspberry Pi.This system is powered by either battery or adapter. Three leads are placed on patient's body and real time status of patients ECG signal is shown on LCD display. If ECG signal is normal then output would be "Normal with beats per minute rate". If ECG signal found to be abnormal that is patient is detected with arrhythmia then result on LCD screen would be "Abnormal-visit doctor now".Following invention is described in detail with the help of Figure 1 of sheet 1 showing the proposed architectureand Figure 2 of sheet 1 showing ECG signal analysis when abnormal. 1/1 2 At Figure 1 Figure 2

Description

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Figure 1

Figure 2

A SYSTEM FOR REAL-TIME HEART HEALTH MONITORING

Technical field of invention:

[001] Present invention in general relates to the field of computer science and engineering and more specifically to a device for real time heart health monitoring using raspberry pi.

Background of the invention:

[002] Living being remains alive, only, as long as its heart is functional. Hence, proper functioning of Heart is essential. The functioning of Heart can be checked by continuous monitoring of heartbeats through Electrocardiogram (ECG). Electrocardiosignal is one of the most important means of heart of monitoring at present, obtains the distribution of electrocardiosignal at body surface by the multi-lead system, reflects the motion change situation of heart, can diagnose multiple heart disease.

[003] Several monitoring devices are presently used for some of these conditions. Holter monitors are used to continuously record a patient's ECG waveform over a period of time such as a 24-hour period. However, the data recorded by a Holter monitor is only known and can be analyzed after the recording period is over. Immediate analysis of the ECG is not possible when the ECG data is only recorded and not immediately reported. Also, many patients feel constrained from engaging in normal activities when wearing a Holter monitor and its many lead wires and electrodes, and often object to the discomfort and inconvenience of these monitors.

[004] Another monitoring device in present use is the loop or event monitor. A loop monitor records data in a continuous loop recording. When the loop is full, the loop monitor will overwrite previously recorded data. A loop monitor is therefore ineffective as a full disclosure recorder for an extended period of time since data can be lost.

[005] Still other monitors have a recorder which is auto-triggered by a cardiac event to record the ECG at the time of the event. The patient will then connect the monitor to a telephone line modem to transfer the ECG data to a monitoring center for review. These systems pose numerous problems. One is that a patient mistake in connecting the monitor to the telephone equipment or operating the equipment can result in a loss of uploaded data. Another problem is that a cardiac event such as syncope can leave the patient unconscious or disoriented and unable to conduct the upload process correctly or, in some cases, at all. Moreover, if the cardiac event occurs while the patient is traveling in a car, considerable time may pass before the patient returns to the location of the uploading equipment and is able to perform the data upload process.

[006] Along with these many attempts are made to develop an improve and accurate system for heart and ECG monitoring and analysis are such as- US22010101396A discloses continuous outpatinet ECG monitoring system, EP1952291A1 discloses method, device and system for lead-limited electrocardiography (ECG) signal analysis, EP3135194A1 discloses improvements in or relating to heart monitoring, W02009112977AI discloses ECG monitoring system with configurable alarm limits, CN102160785A discloses 12-lead wireless real-time Electrocardiograph monitoring and analysis system, W02007053975AI discloses a mobile terminal, a medical service system and an ECG monitoring method for monitoring, US5305202A discloses ambulatory ECG analysis system, CN101579235A discloses remote intelligent ECG monitoring system based on EDGE network.

[007] Also irregularity in the rhythm of the heartbeat results in arrhythmia. Arrhythmia can be classified based on the origins that cause it. ECG signal comprises of PQRST wave. Analysis of PQRST wave helps identifying the type of arrhythmia. Thus, real-time analysis of ECG is of utmost priority, to acquire immediate medical aid and to avoid fatality.

[008] Accordingly it would be desirable for a cardiac monitoring system to overcome the shortcomings of these devices. Therefore there is utmost need to develop and design an improved and efficient portable system for heart monitoring. Hence the present invention provides a heart health monitoring device.

Object of the invention:

[009] Primary object of the present invention is to provide a device for real time heart health monitoring using raspberry pi.

[0010] Another object of the present invention is to provide a handy and low cost ECG analysis device.

[0011] Other objects, features and advantages will become apparent from detail description and appended claims to those skilled in art.

Summary of the invention:

[0012] Accordingly following invention provides a system real time heart health monitoring. The proposed invention provides a real time handy ECG monitoring and analysis system using Raspberry Pi. In the embodiment, the ECG electrodes are placed on the body at right arm (RA), right lower (RL) and left arm (LA). The AD8232 IC sensor converts these electrical signals to waveform. These signals are then fed to the Raspberry Pi system where it is converted to digitized form and analyzed. The analysis result is displayed on LCD display as "normal" and "Abnormal". The preferred embodiment comprises of AD8232 sensor, raspberry pi,analog to digital converter (ADC), computer system and LCD display.

Brief description of drawing:

[0013] This invention is described by way of example with reference to the following drawing where,

[0014] Figure 1 of sheet1 shows overall proposed device architecture. Where, 1 denotes AD8232 sensor IC, 2denotesraspberry pi, 3denotes ADC, 4denoteswindowing algorithm to detect arrhythmia, denotes display the result.

[0015] Figure 2 of sheet shows ECG signal analysis when it is abnormal. Where, 6denotesrecording of the signal,

7denotes sending analog ECG signals raspberry pi, 8denotesprocessing the ECG signal to generate the results, 9denotessending the results to the LCD display.

Detailed description of the invention:

[0016] The present invention relates to a system for heart health monitoring. More particularly the proposed invention provides a real time handy ECG analysis system comprising Raspberry Pi.

[0017] The proposed invention provides a handy and low cost ECG analysis system aiming the object for reducing the treatment costs. The present system can captures the real time ECG data and is using three electrode approaches.

[0018] The preferred system for heart health monitoring comprises of AD8232 sensor, Raspberry Pi and the LCD display. Herein AD8232 sensor is used to read real time analog ECG signals from the patient's body. These signals are then fed to the Raspberry Pi system where it is converted to digitized form and analyzed. The analysis result is displayed on LCD display as "normal" and "abnormal".

[0019] In the preferred embodiment, different electrical leads i.e. commonly known as ECG electrodes are used to get the electrical activity of the heart. For monitoring the heart health, the electrodes are placed on the body at Right Arm (RA), Right Lower (RL) and Left Arm (LA) and some sensors are needed to convert these electrical signals to waveform. Therefore for the purpose, the AD8232 IC is used. But ECG signal also comes with some sort of noise in it. After the removal of noise, one needs to make use of Analog to Digital Converter (ADC) to get the ECG signal on a computer system. But before this, the sampling frequency and different quantization levels need to be defined.

[0020] In the proposed system, sampling and ADC is achieved with the help of counter programming in Raspberry Pi. The signal is ready in time domain in the form of discrete signal, sampled at 500 Hz. This signal has to get inside the system for further processing. In this invention, the python coding and windowing algorithm is used to find whether the PQRST reference points and their intervals are normal or not. At last, the obtained intervals are compared with standard intervals already defined to get the ECG signal is normal or abnormal. The final obtained results are acknowledged to the user with the help of LCD display.

[0021] Therefore the preferred system should be used when patient is not feeling well and having difficulties in breathing and chest pain. The patient should lie down, then apply the three ECG electrodes near left arm (LA), right arm (RA) and right lower (RL). Put the jack in the AD8232 sensor IC, power on the system and the result display on the LCD display screen. If shown results are normal then no need to worry else user has to contact doctors immediately.

[0022] Additional advantages and modification will readily occur to those skilled in art. Therefore, the invention in its broader aspect is not limited to specific details and representative embodiments shown and described herein. Accordingly various modifications may be made without departing from the spirit or scope of the general invention concept as defined by the appended claims and their equivalents.

Editorial Note 2020101730 There is only two pages of the claim

Claims

THE CLAIMS DEFINING THE INVENTION ARE AS FOLLOWS:

1. A system for real-time heart health monitoring comprising Raspberry Pi (02), characterized in that;

aAD8232 sensor (01) is adapted to read real time analog ECG signals from the patient's body;

said Raspberry Pi (02) feed with these signals (07) where it is converted to digitized form and analyzed (08);

a LCD display (05) is adapted for displaying analysis results as "normal" and "abnormal";

wherein an ECG electrodes are adapted to get the electrical activity of the heart, the electrodes are placed on the body at Right Arm (RA), Right Lower (RL) and Left Arm (LA) and said sensors (01) are needed to convert these electrical signals to waveform.

2. The system for real time heart health monitoring as claimed in claim 1 wherein an Analog to Digital Converter (ADC) (03) is adapted to get the ECG signal on a computer system.

3. The system for real time heart health monitoring as claimed in claim 1 wherein sampling and ADC is achieved with the help of counter programming in the Raspberry Pi (02), the signal ready in time domain in the form of discrete signal, sampled at 500 Hz.

4. The system for real time heart health monitoring as claimed in claim 1 wherein the python coding and windowing adaptive configuration (04) is used to find whether the PQRST reference points and their intervals are normal or not and finally, the obtained intervals are compared with standard intervals already defined to get the ECG signal is normal or abnormal.