Generation of biometric sequence using real time electrocardiogram signal

2017 ◽  
Vol 8 (4) ◽  
Author(s):  
SRIKANTH MADIREDDY ◽  
MOH ANA.J ◽  
C.KEERTHI KANTH ◽  
P. SRIHARI REDDY
Keyword(s):  
Real Time ◽  
Electrocardiogram Signal

scholarly journals CardioSounds: A Portable System to Sonify ECG Rhythm Disturbances in Real-Time

2018 ◽  
Author(s):  
Andrea Lorena Aldana Blanco ◽  
Steffen Grautoff ◽  
Thomas Hermann
Keyword(s):  
Real Time ◽  
Mapping Method ◽  
Heart Beat ◽  
Direct Perception ◽  
Raspberry Pi ◽  
Hardware Platform ◽  
Portable System ◽  
Novel Method ◽  
Electrocardiogram Signal ◽  
Basic Features

This paper is a continuation and extension of our previous work [1]. CardioSounds is a portable system that allows users to measure and sonify their electrocardiogram signal in real-time. The ECG signal is acquired using the hardware platform BITalino and subsequently analyzed and sonified using a Raspberry Pi. Users can control basic features from the system (start recording, stop recording) using their smartphone. The system is meant to be used for diagnostic and monitoring of cardiac pathologies, providing users with the possibility to monitor a signal without occupying their visual attention. In this paper, we introduce a novel method, anticipatory mapping, to sonify rhythm disturbances such as Atrial Fibrillation, Atrial flutter and Ventricular Fibrillation. Anticipatory mapping enhances perception of rhythmic details without disrupting the direct perception of the actual heart beat rhythm. We test the method on selected pathological data involving three of the most known rhythm disturbances. A preliminary perception test to assess aesthetics of the sonifications and its possible use in medical scenarios shows that the anticipatory mapping method is regarded as informative discerning healthy and pathological states, however there is no agreement about a preferred sonification type.

scholarly journals A Two Channels Wireless Electrocardiograph System Using Bluetooth Communication

2021 ◽  
Vol 3 (3) ◽  
pp. 134-140
Author(s):  
RAHMA DIAH ZUHROINI ◽  
Dyah Titisari ◽  
Torib Hamzah ◽  
T. K Kho
Keyword(s):  
Cardiovascular Diseases ◽  
Cardiovascular System ◽  
Real Time ◽  
Error Rate ◽  
Research Method ◽  
Causes Of Death ◽  
Data Communication ◽  
Health Problems ◽  
Electrocardiogram Signal ◽  
Bluetooth Communication

Health problems with cardiovascular system disorders are still ranked high, according to data from the WHO reported that there are about 31% of causes of death globally are cardiovascular diseases. The purpose of this study was to develop a 12 lead electrocardiograph with 2 displays and the HC-05 as a real-time transmitter of heart signal data. The electrocardiogram signal is obtained from the wiretapping by attaching the electrode cable to the Lead I, Lead II, Lead III, aVR, aVL, and aVF leads, then processed on IC AD620, HPF and LPF filters and non-inverting amplifiers and then processed using Arduino UNO for further display. in the form of a signal on the Delphi 7 application. The research method is to measure the heart signal on the ECG Simulator, by testing several BPMs, namely 30, 60, 120 and 240 on each lead. After testing the signal equation at the 0.5mV setting by calculating the error rate, the highest error value is obtained in lead I, lead aVL and aVF of 7.14% and the smallest error is 3.57% error in lead III. Then at the 1mV setting by calculating the error rate, the highest error value in lead aVL is 7.14% and the smallest error is 2.36%. at the 2mV setting by calculating the error rate, the highest error value is obtained in leads aVL and aVF of 5.71% and the smallest error is obtained by an error of 2.1% in lead II. the results of this study are implemented so that in the future an ECG examination can be carried out and then monitored remotely like a doctor's room because the data communication uses bluetooth.

Smart ECG Monitoring Through IoT

2020 ◽  
pp. 224-246
Author(s):  
Ibtihel Nouira ◽  
Mohamed Hadj Said
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Measurement Unit ◽  
Cloud Environment ◽  
Process Technology ◽  
Remote Monitoring System ◽  
Unit Module ◽  
Electrocardiogram Signal ◽  
Flexible Fabrication ◽  
Minimal Constraints

The emergence of internet of things allows the integration of health systems by enabling real-time monitoring with a low cost. Therefore, one of the essential targets in this work is the realization of a new smart real-time electrocardiogram remote monitoring system based on cloud networks. This health wireless system allows the acquisition of electrocardiogram signal with the temperature and acceleration measurement of the patient's body using the inertial measurement unit module sensor. A strong access schemes is employed to transfer the data from sensors to cloud environment by keeping the protection of e-health information. The second objective in this chapter is designing a flexible and stretchable health circuit basing on design considerations, aiming the combination of flexible, elastic, and rigid materials around minimal constraints and maximum mechanical dependability in the structures. The flexible fabrication part was inspired from the biocompatible process technology.

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