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.

Smart Health Monitoring System

2020 ◽  
Vol 17 (5) ◽  
pp. 2261-2265
Author(s):  
P. Ezhilarasi ◽  
S. Rajeshkannan ◽  
P. Gokulaprasath
Keyword(s):  
Heart Rate ◽  
Monitoring System ◽  
Health Monitoring ◽  
Heart Attack ◽  
Death Rate ◽  
The Internet ◽  
Health Monitoring System ◽  
The Status ◽  
Smart Health ◽  
Growing Population

This paper proposes a Smart Health Monitoring System (SHMS) which monitors and takes care of patient's health. Nowadays in hospital, taking care of patient is a big task because of growing population and also regular check-ups are not at all possible. The percentage of death rate by only heart attack is 24.8%, which is not higher but these death rate can be reduced by monitoring the condition of patient's heart every second continuously. This can be achieved with the help of a technology called Internet of Things (IoT). The concept of IoT is that it can connect any device with the internet. Here the sensor can measure the heart rate and connects to the internet. Then it will update the status of the patient's heart to the person who wants to monitor the patient. Hence the prevention of death due to heart attack is being introduced. This idea can also be implemented for workers in industry

Feature Extraction and Abnormality Detection in Autonomic Regulation of Cardiovascular System

2011 ◽  
Author(s):  
Ali Jalali ◽  
C. Nataraj ◽  
Margaret Butchy ◽  
Ali Ghaffari
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Time Series ◽  
Feature Extraction ◽  
Systolic Blood Pressure ◽  
Cardiovascular System ◽  
Healthy Subjects ◽  
Pressure Regulation ◽  
Abnormality Detection ◽  
The Status

The objective of this study is to develop an efficient methodology for classifying patients suffering any type of blood pressure dysregulation from healthy subjects. Four features of malfunctions in blood pressure regulation are introduced, and a criterion is proposed for each feature to evaluate and distinguish patients from healthy subjects. The evaluated features are based on the analysis of difference between data related to healthy subjects and those collected from patients. The proposed criteria are implemented on a group of healthy and patient subjects by collecting their systolic blood pressure (SBP) and their heart rate (HR) time series. The proposed method is applied on three different groups of subjects each containing four healthy and eleven patients. It is shown that the algorithm properly detects the status of all fifteen subjects in one group and fourteen subjects in two groups. The results obtained indicate that the selected features have remarkable capability in detection of blood pressure dysregulation.

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

Bifurcation in a Simple Model of the Cardiovascular System

2000 ◽  
Vol 39 (02) ◽  
pp. 118-121 ◽  
Author(s):  
S. Akselrod ◽  
S. Eyal
Keyword(s):  
Nonlinear Dynamics ◽  
Blood Pressure ◽  
Heart Rate ◽  
Fixed Point ◽  
Cardiovascular System ◽  
Modified Model ◽  
Mayer Waves ◽  
Sustained Oscillations ◽  
Human Cardiovascular System ◽  
Physiological Values

Abstract:A simple nonlinear beat-to-beat model of the human cardiovascular system has been studied. The model, introduced by DeBoer et al. was a simplified linearized version. We present a modified model which allows to investigate the nonlinear dynamics of the cardiovascular system. We found that an increase in the -sympathetic gain, via a Hopf bifurcation, leads to sustained oscillations both in heart rate and blood pressure variables at about 0.1 Hz (Mayer waves). Similar oscillations were observed when increasing the -sympathetic gain or decreasing the vagal gain. Further changes of the gains, even beyond reasonable physiological values, did not reveal another bifurcation. The dynamics observed were thus either fixed point or limit cycle. Introducing respiration into the model showed entrainment between the respiration frequency and the Mayer waves.

Heart Rate Signal Decomposition

2000 ◽  
Vol 39 (02) ◽  
pp. 200-203
Author(s):  
H. Mizuta ◽  
K. Yana
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Pressure Change ◽  
Normal Subjects ◽  
Signal Decomposition ◽  
Large Individual ◽  
Heart Rate Fluctuations ◽  
Type Pattern ◽  
Signal Cancellation ◽  
Pressure Changes

Abstract:This paper proposes a method for decomposing heart rate fluctuations into background, respiratory and blood pressure oriented fluctuations. A signal cancellation scheme using the adaptive RLS algorithm has been introduced for canceling respiration and blood pressure oriented changes in the heart rate fluctuations. The computer simulation confirmed the validity of the proposed method. Then, heart rate fluctuations, instantaneous lung volume and blood pressure changes are simultaneously recorded from eight normal subjects aged 20-24 years. It was shown that after signal decomposition, the power spectrum of the heart rate showed a consistent monotonic 1/fa type pattern. The proposed method enables a clear interpretation of heart rate spectrum removing uncertain large individual variations due to the respiration and blood pressure change.

Health Care Monitoring System

2019 ◽  
Vol 7 (9) ◽  
pp. 44-48
Author(s):  
Rahul Pawar ◽  
M.M. Sardeshmukh ◽  
Sagar Shinde
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Health Care Monitoring

Review on Health Care Monitoring System

2019 ◽  
Vol 7 (6) ◽  
pp. 1114-1117
Author(s):  
Rahul Pawar ◽  
M.M. Sardeshmukh ◽  
Sagar Shinde
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Health Care Monitoring
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