Design and Application of Human Movement Respiratory and ECG Signal Acquisition System

2020 ◽  
Vol 10 (4) ◽  
pp. 890-897
Author(s):  
Huayu Zhao
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Human Movement ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Ecg Signal ◽  
Baseline Drift ◽  
Respiratory Signal ◽  
Power Frequency ◽  
Guide System

To realize the design of mobile phone human movement breathing and electrocardiograph (ECG) signal acquisition system based on Bluetooth transmission, the principle of the generation and detection of ECG and respiratory signal and the guide system of signal acquisition are analyzed. Additionally, the hardware of the system is designed, including the hardware of the signal acquisition system, the design of ADS1292R ECG and respiratory signal acquisition module, the design of the main control chip and the design of the Bluetooth module. Then, the digital filtering processing of the ECG and respiratory signals is completed, including the baseline drift filtering and the suppression of the power frequency interference. The results show that the monitoring system runs well and it can effectively collect ECG and respiratory signals, calculate heart rate and respiratory frequency in real time, and display ECG waveform in real time. To sum up, the monitoring system is of great significance for real-time monitoring of the patient's condition.

scholarly journals Development of A Low-Cost Arduino-Based 12-Lead Ecg Acquisition System And Accompanied Labview Application

2019 ◽  
Vol 9 (1) ◽  
pp. 1641-1648
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Low Cost ◽  
Numerical Data ◽  
Digital Signal ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Frequency Noise ◽  
Ecg Signal ◽  
Active Analog

In this paper, the design of a real-time digital multi--channel ECG signal acquisition system is presented. With the purpose of fabrication towards a simple, compact and low-cost tool for bioelectrical signal processing laboratories, the system is developed to acquire the 12 leads EGC signals and converted to numerical data based on an Arduino module named as Leonardo equipped 12 channels ADC. To observe the EGC waves, the ECG signals are amplified through designed amplifiers with the gain of 60 dB. To reduce the effects from the DC component as well as the baseline wandering and the high frequency noise, the active analog bandpass filter ranged in 0,05 Hz to 100 Hz was designed. The power line noise of 50 Hz also decreased with an active analog bandstop filter with attenuation -38 dB. Under the PC application was built using Labview programing, the low-cost digital ECG signal acquisition system was demonstrated with the requirement of observation in real-time. To clarify the small wave in the digital EGG signal, the limitation of the analog signal processing is improved through the digital filters parameterized in the software to increase the SNR from 1.4 dB to 27.6 dB. Practically, the system is evaluated through a series of experiments on a volunteer person resulting the ECG data is recorded and stored in a TDMS file. Since the system is designed as opened-system, a series of developments towards various applications in biomedical diagnosis based on digital signal analysis techniques is promised to be feasible in the near future.

Design of ECG Acquisition System Based on Matlab

2013 ◽  
Vol 462-463 ◽  
pp. 1001-1004
Author(s):  
Xue Wang ◽  
Wen Liang Niu ◽  
Yuan Sheng Liu
Keyword(s):  
Heart Rate ◽  
Cost Savings ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Ecg Signal ◽  
Threshold Selection ◽  
Selection Algorithm ◽  
Absolute Value ◽  
Wave Detection ◽  
Processing Circuit

In order to more accurate detection of ECG signal and cost savings, this paper designed a set of ECG signal acquisition system based on Matlab. The system is composed of hardware and software. Hardware is made up of signal acquisition processing circuit and MPC82G516 microcontroller for AD conversion. The software mainly contains configuring Matlab serial to realize communication with MPC82G516 and uses abundant filter resources of Matlab to remove noise by differential, absolute value, smoothing and threshold selection algorithm of R wave detection, R wave peak provides the basis for calculating the heart rate. This paper uses Matlab friendly user interface for displaying received data to make the data more intuitive and read more easily.

A 50 mHz Sinh-Domain High-pass Filter for Realizing an ECG Signal Acquisition System

2014 ◽  
Vol 33 (12) ◽  
pp. 3673-3696 ◽  
Author(s):  
Filomila Kafe ◽  
Farooq A. Khanday ◽  
Costas Psychalinos
Keyword(s):  
Acquisition System ◽  
Signal Acquisition ◽  
Ecg Signal ◽  
Pass Filter ◽  
High Pass Filter ◽  
High Pass

scholarly journals The Real-time Electrocardiogram Signal Monitoring System in Wireless Sensor Network

2019 ◽  
Vol 15 (02) ◽  
pp. 4
Author(s):  
Anchana Muankid ◽  
Mahasak Ketcham
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Ecg Signal ◽  
The Real ◽  
Receiver Module ◽  
Signal Monitoring ◽  
Electrocardiogram Ecg

The Cardiovascular disease (CVD) is the most of death in the world. Electrocardiogram (ECG) is the graph that shows heart electrical activities. The physician record and detect the abnormal Electrocardiogram (ECG) signal by the Holter monitor that patient need to carry on the device for record ECG signal in 24 hours. Pan-Tomkins algorithm was appropriate for Real-time ECG signal recognition because high accuracy and rapidly analysis. This research propose the Real-time ECG Signal monitoring system for detect the abnormal ECG signal by using Pan-Tomkins algorithm with Wireless Sensor Network. The system separated into 2 part; sender module and receiver module. Experimental the system by using the ECG signal data from MIT-BIH database. Selected 20 samples of abnormal ECG signal then experimental at 10 and 20 meters sender module-receiver module distance, calculate R-R interval and R amplitude threshold The results show that the Real-time ECG signal monitoring system detect 17 abnormal ECG signal, the accuracy is 85%. This systems efficient for detect the abnormal of ECG signal in real-time.

An ECG signal acquisition system integrated in a 0.35 μm CMOS technology

2005 ◽  
Author(s):  
Lingchuan Zhou ◽  
Anthony Bozier ◽  
Jean-Philippe Blonde ◽  
Michel Kraemer ◽  
Jacques Felblinger ◽  
...  
Keyword(s):  
Cmos Technology ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Ecg Signal
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