scholarly journals A Wearable Wireless Heart Rate Monitoring System without Body Compression Using Waistband-type Wearable Textile Electrode (Preprint)

2020 ◽  
Author(s):  
Danbi Gwon ◽  
Hakyung Cho ◽  
Hangsik Shin
Keyword(s):  
Heart Rate ◽  
Monitoring System ◽  
Smart Phone ◽  
Qualitative Evaluation ◽  
Upper Body ◽  
Ecg Monitoring ◽  
Elastic Band ◽  
Signal Processing Algorithm ◽  
Measuring Device ◽  
Textile Electrode

BACKGROUND Electrocardiogram (ECG) monitoring in daily life is essential for effective management of cardiovascular disease, a leading cause of death. Wearable ECG measurement systems in the form of clothing have been proposed to replace Holter monitors used for clinical ECG monitoring, however, they have limitations in daily use because they compress the upper body, and in doing so, cause discomfort during wearing. OBJECTIVE The purpose of this study was to develop a wireless wearable ECG monitoring system including a textile ECG electrode that can be applied to the lining of pants and can be used in the same way as existing clothing wearing styles without compression on the upper body. METHODS A textile electrode having stretchable characteristics was fabricated by knitting a conductive yarn with polyester-polyurethane fiber and then silver compound coated, and an ECG electrode was developed by placing it on an elastic band in a modified limb lead configuration. In addition, a system with analog-to-digital conversion and wireless communication, and a smart phone application were developed allowing users to be able to check and store their own ECG in real time. A signal processing algorithm was also developed to remove noise from the obtained signal and to calculate the heart rate. For evaluation of ECG and heart rate measurement performance of the developed module, a comparative evaluation with a commercial device was performed. ECG was measured for five minutes each, in standing, sitting, and lying positions, and the root-mean-square error (RMSE) of heart rates measured with both systems was compared. RESULTS The system was developed in the form of a belt buckle with a size of 53×45×12 mm (width × height × depth) and a weight of 23 g. In qualitative evaluation, it was confirmed that the representative waveform of the ECG was clearly observed. From the results of the heart rate estimation, the developed system could track changes in heart rate calculated by a commercial ECG measuring device, and the RMSE of heart rate was 2.5 bpm, 3.3 bpm, and 2.6 bpm in standing, sitting, and lying positions, respectively. CONCLUSIONS The developed system was able to effectively measure the ECG and calculate the heart rate through simply wearing as existing clothing without upper body pressure. It is expected that general usability can be secured through evaluation under more diverse conditions. CLINICALTRIAL 1040198-200609-HR-061-02

HEART RATE MONITOR USING INFRARED

2015 ◽  
Vol 3 (5) ◽  
pp. 365-368
Author(s):  
Divyesh Parmar ◽  
Rishi Mistry ◽  
Yash Kava
Keyword(s):  
Heart Rate ◽  
Cardiovascular System ◽  
Monitoring System ◽  
Normal Subjects ◽  
Measuring Device ◽  
The Status ◽  
Sympathetic Regulation ◽  
Correlated Information ◽  
Stress At Work ◽  
Health Care Monitoring

The heart rate is one of the significant physiological parameters of the human cardiovascular system. Heart rate is the number of times the heart beats per minute. Heart rate data reflects various physiological states such as biological workload,stress at work and concentration on tasks, drowsiness and the active state of the autonomic nervous system. Human cardiac dynamics are driven by the complex nonlinear interactions of two competing forces: sympathetic regulation increases and parasympathetic regulation decreases the heart rate. Thus,monitoring of heart rate plays a significant role in providing the status of cardiovascular system and clinically correlated information to medical professionals. Heart rate measurement is also regarded as an essential parameter in patient care monitoring system. Heart rate can be measured either by the ECG waveform or by sensing the pulse - the rhythmic expansion and contraction of an artery as blood is forced through it by the regular contractions of the heart. The pulse can be felt from those areas where the artery is close to the skin. This paper highlights on the design of a microcontroller (PIC series) based heart rate counter that is able to capture the pulse from finger tip by sensing the change in blood volume. The heart rates of fifteen healthy normal subjects (students of age 21-22 yrs.) both in relaxed and excited states were measured using the designed device and a standard heart rate measuring device. The outputs of the measured device were satisfactory. Also, the designed device,being noninvasive one, can easily find its place in health care monitoring system.

scholarly journals A wearable system for real-time outpatient ECG monitoring

2019 ◽  
pp. 26-30
Author(s):  
T.O. Білобородова ◽  
І.С. Скарга-Бандурова ◽  
В.С. Дерев’янченко
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Monitoring System ◽  
Morphological Feature ◽  
Well Being ◽  
Wearable Devices ◽  
Ecg Signal ◽  
Ecg Monitoring ◽  
Systems Architecture

Functional state of the cardiovascular system is an important factor for human physical well-being. To perform analysis of the cardiovascular state, the wearable continuous ECG monitoring system is essential. In this paper, a wearable ECG monitoring system based on IoT is proposed. The systems architecture is presented. Wearable devices design employs few optimal components for the acquisition of acceptable ECG signal. The R peaks corresponding to each heartbeat, and T waves, a morphological feature of the ECG are detected. It enables to perform heart rate and heart rate variability analyses, as well as  extract, store and analyze  the long term ECG measurements.

scholarly journals Implement wrist-worn PPG and SpO2 monitoring system

2018 ◽  
Vol 7 (2.12) ◽  
pp. 39
Author(s):  
Yun Hong Noh ◽  
Ji Yun Seo ◽  
Do Un Jeong
Keyword(s):  
Monitoring System ◽  
Adaptive Filter ◽  
Daily Life ◽  
Smart Phone ◽  
The Body ◽  
Measuring System ◽  
Biological Information ◽  
Filter Method ◽  
Measuring Device ◽  
Measurement Monitoring

Background/Objectives: With the advent of an aging society, the advent of smartphones is changing the paradigm of medical services.Existing health care has been aimed at diagnosing and curing, but now there is a lot of focus on personal health monitoring and disease prevention.The PPG signal reflecting the activity state of the heart among the various biological information of the human body has a regular period and regular characteristic.In addition, it is possible to observe pathological and physiological abnormalities by observing changes in the components of the PPG signal according to the state of health and the body, and it can be utilized for diagnosis of heart disease.Methods/Statistical analysis: In this research, we implemented a wrist - worn measuring system to monitor PPG and SPO2 in real time in daily life. Adaptive filter method was applied formotion-artifact removal of PPG and SpO2 signal measured in everyday life. A smart phone application applied the adaptive filter method can monitoring the measured physical information in real time.Findings: For the performance evaluation, the PPG signal of the wrist wearing type measurement system implemented using the commercial PPG measuring device ubpulse 360 (Laxtha, Korea) were comparative evaluation. Also, we measured PPG signals according to activity and rest state in 9 college students. As a result of the experiment, it was confirmed that the mean correlation coefficient between the implemented system and the commercial system was 0.934. We confirmed that the measured results are very similar, and we can confirm the usefulness of the implemented system.Improvements/Applications: In non-invasive SpO2 devices, even with slight movement, the noise is larger than the signal and the ratio of absorbance is incorrectly calculated when calculating SPO2. Therefore, it is difficult to obtain a normal waveform. In order to overcome these disadvantages, we implemented the PPG and SPO2 measurement monitoring system which minimizes the distortion of the PPG signal using the adaptive filter.In the future, we will research techniques for measuring PPG and SPO2 more conveniently in daily life and algorithms for improving the accuracy of PPG data.  

scholarly journals IoT: Electrocardiogram (ECG) Monitoring System

2018 ◽  
Vol 10 (2) ◽  
pp. 480 ◽  
Author(s):  
Kristine Joyce P. Ortiz ◽  
John Peter O. Davalos ◽  
Elora S. Eusebio ◽  
Dominic M. Tucay
Keyword(s):  
Heart Rate ◽  
Monitoring System ◽  
Normal Sinus Rhythm ◽  
Sinus Bradycardia ◽  
T Test ◽  
Software Systems ◽  
Small Scale ◽  
Ecg Monitoring ◽  
Significant Difference ◽  
Electrocardiogram Ecg

Internet of Things (IoT) has many applications in the medical field. With remote-information gathering, healthcare professionals can evaluate, diagnose and treat patients in remote locations using telecommunications technology. This study aimed to develop a small-scale electrocardiogram (ECG) monitoring device that will measure heart rates and waveforms and send the data in a database and a web server. An ECG acquisition device was developed using a single-lead heart rate monitor sensor and an Arduino microcontroller. A program, which will process, analyze and upload the ECG data is coded using MATLAB and C# programs. The collected information is viewed in a Graphical User Interface (GUI) display, coded using C# and in a webpage. Rapid Application Technology (RAD) was used in the methodology, which began with a quick design of the system. The hardware and software systems underwent a prototyping cycle for development. Once finished, the integration of the system is conducted to construct a complete IoT-based ECG monitoring system. For testing using t-test, a sample size of 18 and a a= 0.05 is used. Testing resulted into t-test values that lie in the non-critical zone for all ECG parameters, denoting that there is no significant difference between the gathered data. The device’s percent reliability in detecting ECG conditions such as normal sinus rhythm, sinus tachycardia, sinus bradycardia and flatline, is 83.33%. The percent difference for the heart rate is 0.35 %, which falls within the acceptable medical standard of 99% accuracy. The device was deemed functional and reliable.

scholarly journals An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1871
Author(s):  
Hassan Ali ◽  
Hein Htet Naing ◽  
Raziq Yaqub
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Monitoring System ◽  
Rural Areas ◽  
Single Channel ◽  
Low Cost ◽  
Notch Filter ◽  
Commercial Application ◽  
Low Latency ◽  
Ecg Monitoring

The absence of cardiovascular disease (CVD) diagnostic and management solutions cause significant morbidity among populations in rural areas and the coronavirus disease of 2019 (COVID-19) emergency. To tackle this problem, in this paper, the development of an Internet of things (IoT) assisted ambulatory electrocardiogram (ECG) monitoring system is presented. The system’s wearable single-channel data acquisition device supports 25 h of continuous operation. A right leg drive (RLD) circuit supported analog frontend (AFE) with a high common mode rejection ratio (CMRR) of 121 dB and a digitally implemented notch filter is used to suppress power-line frequency interference. The wearable device continuously sends the collected ECG data via Bluetooth to the user’s smartphone. An application on the user’s smartphone renders real-time ECG trace and heart rate and detects abnormal heart rhythms. This data are then shared in real-time with the user’s doctor via a real-time cloud database. An application on the doctor’s smartphone allows real-time visualization of this data and detection of arrhythmias. Simulations and experimental results demonstrate that reliable ECG signals can be captured with low latency and the heart rate computation is comparable to a commercial application. Low cost, scalability, low latency, real-time ECG monitoring, and improved performance of the system make the system highly suitable for the real-time remote identification and management of CVDs in users of rural areas and in the COVID-19 pandemic.

scholarly journals Healthcare Monitoring System Based on Wireless Sensor Network for Cardiac Patients

2018 ◽  
Vol 11 (3) ◽  
pp. 1681-1688 ◽  
Author(s):  
Uttara Gogate ◽  
Jagdish Bakal
Keyword(s):  
Heart Rate ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Elderly Care ◽  
Smart Phone ◽  
Cardiac Patients ◽  
Wireless Sensor ◽  
Healthcare Monitoring ◽  
Body Parameters

Cardiovascular diseases (CVD) are the major cause of mortality globally, as well as in India. Most of the deaths caused by CVD are sudden and without giving any chance to provide any medical help. To avoid such impulsive accidental deaths precautions are always required. Due to this heart patients require continuous monitoring of certain vital body parameters such as heart rate, pulse rate and electrocardiogram (ECG) showing current health status clearly. In this paper we are presenting 3 - tier architecture of our prototype healthcare monitoring system using wireless sensor network (WSN) which is developed to continuously monitor certain body parameters of patient. Different biosensors available to measure heart rate, body oxygen level and temperature are attached to Arduino Nano board and recorded signals are sent to server using Node MCU ESP8266 wireless communication. Data is made available on remote servers for doctors and caregivers using ThingSpeak, an internet of things (IOT) application. In case of emergency caregivers can be notified using smart phone alerts. The system is useful for cardiac patients and can be used for infant or baby care and elderly care in home and hospitals. Accuracy of the system is found 95% with the response time of 10 seconds.

An ECG monitoring system using android smart phone

2016 ◽  
Author(s):  
Jaehyun Park ◽  
Kihwan Seong ◽  
Hyeon-Kyu Noh ◽  
Won-Cheol Lee ◽  
Byungsub Kim ◽  
...  
Keyword(s):  
Monitoring System ◽  
Smart Phone ◽  
Ecg Monitoring
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