scholarly journals Pulse Rate Monitoring Embedded System during Indoor Exercises Using Microcontroller

2019 ◽  
Vol 8 (3) ◽  
pp. 2064-2066
Keyword(s):  
Heart Rate ◽  
Embedded System ◽  
Low Cost ◽  
Heart Beat ◽  
Measuring Device ◽  
Non Invasive ◽  
Beat Rate ◽  
Proposed Model ◽  
Measure Heart Rate ◽  
Heart Beat Rate

In the current paper we have described the design, testing and result data of a low cost heart beat measuring device. The proposed model works on the properties of optics. Our model is non-invasive in nature and able to measure heart rate of any individual during different physical activities. We have also developed a better algorithm for measuring heart beat rate at a fixed interval of 5 seconds. The heart beat is counted by a specific microcontroller that displays the heart rate data on an LCD continuously. We have also measured the heart beat rate of an individual running on the trademill at variable speed and compared the result with our model.

scholarly journals COMPARISON OF TWO JACUZZIS AND SWIMMING MILD RECOVERIES ON HEART BEAT RATE AND MYOCARDIAL OXYGEN CONSUMPTION OF SWIMMING

2015 ◽  
Vol 37 ◽  
pp. 75
Author(s):  
Ensiyeh Aminian
Keyword(s):  
Heart Rate ◽  
Lactic Acid ◽  
Heart Beat ◽  
Oxygen Cost ◽  
Beat Rate ◽  
Kolmogorov Smirnov ◽  
Heart Beat Rate ◽  
Mean Variance ◽  
Alpha Error ◽  
Smirnov Test

http://dx.doi.org/10.5902/2179460X19445Main aim of this research was comparing effect of two Jacuzzis, swimming mild recoveries on heart beat rate, and myocardial oxygen cost of swimming. Initially normal data distribution Kolmogorov Smirnov test was used in order to reflect the normal distribution of data. For data analysis descriptive statistics were used (placebo, median, mean, variance, and standard deviation) in order to compare changes of Lactic acid of heart rate beat and consumption oxygen of myocardial. Therefore, we used t student, alpha error is 0.05, and Excel 2007 and SPSS 18 did analysis. Result of research indicated that inactive recovery was effective on faster excreted lactic acid. Moreover, results of research indicated that recovery on mild swim Jacuzzi was effective on heart rate, myocardial consumption of oxygen. In addition, results of research indicated that heart rate and myocardial consumption of oxygen reduce in Jacuzzi recovery.

scholarly journals On the Stability of a Stochastic Nonlinear Model of the Heart Beat Rate During a Treadmill Exercise

2020 ◽  
Vol 53 (2) ◽  
pp. 16457-16461
Author(s):  
Mohammad Mostafa Asheghan ◽  
Bahram Shafai ◽  
Joaquín Míguez
Keyword(s):  
Nonlinear Model ◽  
Treadmill Exercise ◽  
Heart Beat ◽  
Beat Rate ◽  
Heart Beat Rate ◽  
The Stability

scholarly journals Dataset of raw and pre-processed speech signals

2020 ◽  
Author(s):  
Mohammed Usman ◽  
Zeeshan Ahmad ◽  
Mohd Wajid
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Deep Learning ◽  
Medical Device ◽  
Remote Monitoring ◽  
Speech Signals ◽  
Non Invasive ◽  
Speech Characteristics ◽  
Measure Heart Rate ◽  
Pulse Oxymeter

Heart rate is an important vital sign used in the diagnosis of many medical conditions. Conventionally, heart rate is measured using a medical device such as pulse oxymeter. Physiological parameters such as heart rate bear a correlation to speech characteristics of an individual. Hence, there is a possibility to measure heart rate from speech signals using machine learning and deep learning, which would also allow non-invasive, non contact based and remote monitoring of patients. However, to design such a scheme and verify its accuracy, it is necessary to collect speech recordings along with heart rates measured using a medical device, simultaneously during the recording

scholarly journals Non-Contact Pulse Detector using Video Analytics

2020 ◽  
Vol 9 (5) ◽  
pp. 1597-1600
Keyword(s):  
Computer Vision ◽  
Heart Rate ◽  
Computational Cost ◽  
Heart Beat ◽  
Signal Frequency ◽  
Waiting Room ◽  
Non Invasive ◽  
Safe Side ◽  
Patient Will ◽  
Low Computational Cost

Non-contact pulse detector used for heart beat measurement based on computer vision, where a standard color camera captures the plethysmographic signal and the heart rates are processed and estimated dynamically. It is important that the quantities are taken in a non-invasive manner, which is invisible to the patient. Presently, many methods have been proposed for non-contact measurement. The proposed method based on the computer vision technique is enhanced to overcome the above drawbacks and it requires low computational cost. Many of the hospitals are using surveillance cameras, from these cameras we can monitor the video of the patients waiting in the queue. The camera is attached in the patients’ waiting room and the faces of the patients are monitored. Many factors are considered in the phases of image acquisition, as well as in the plethysmographic signal development, pre-processing and filtering. The pre-filter step uses numerical analysis techniques to cut the signal offset. The proposed method decouples the heart rate from the plethysmographic signal frequency. The proposed system helps in detecting the heart rate of a Patient who is waiting in queue for longer time. Based on the heart rate the seriousness of patient is identified and giving the preference to the patient and treatment will be started, with this the patient will be in safe side.

scholarly journals Telemetry System Utilization for Stress Monitoring of Pilots During Training

2016 ◽  
Vol 4 (20) ◽  
pp. 33
Author(s):  
Luboš Socha ◽  
Lenka Hanáková ◽  
Vladimír Socha ◽  
Andrej Lališ ◽  
Róbert Rozenberg ◽  
...  
Keyword(s):  
Heart Rate ◽  
Mental Workload ◽  
Heart Beat ◽  
Mental Wellbeing ◽  
Telemetry System ◽  
Stress Monitoring ◽  
System Utilization ◽  
Glass Cockpit ◽  
Heart Beat Rate ◽  
Excessive Stress

Air transport development brings an increased focus on the safety of piloting. The safety conditions can be assessed by mental workload. Psychic discomfort or excessive stress on pilots can negatively influence the course of flights. Therefore it appears convenient to monitor such parameters, which represent the mental wellbeing, or discomfort of a pilot. Since physiological measurements can provide a good information about mental workload or stress, this work primarily focuses on the observation of the change in heart rate, as it is an indicator of stress during the training of pilots, using the designed modular telemetry system. Another aim of this study is to evaluate the influence of a change in the avionic data visualization. This can have an unfavorable effect on the piloting of an airplane. This work, based on the evaluation of heart rate shows, that the switch from analog visualization to glass cockpit creates increased levels of stress in pilots, which was proved for all examined subjects except one. Significant level of correlation in the heart beat rate change in subjects in the course of training was also discovered.

scholarly journals Extraction of Fetal Heart Rate from Maternal ECG—Non Invasive Approach for Continuous Monitoring during Labor

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 1009 ◽  
Author(s):  
Tashreque Mohammed Haq ◽  
Safkat Arefin ◽  
Shamiur Rahman ◽  
Tanzilur Rahman
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Continuous Monitoring ◽  
Good Accuracy ◽  
Fetal Heart ◽  
Signal Separation ◽  
Invasive Approach ◽  
Non Invasive ◽  
Proposed Model ◽  
Fetal Scalp

Here, we propose a signal processing based approach for the extraction of the fetal heart rate (FHR) from Maternal Abdominal ECG (MAECG) in a non-invasive way. Datasets from a Physionet database has been used in this study for evaluating the performance of the proposed model that performs three major tasks; preprocessing of the MAECG signal, separation of Fetal QRS complexes from that of maternal and estimation of Fetal R peak positions. The MAECG signal is first preprocessed with improved multistep filtering techniques to detect the Maternal QRS (MQRS) complexes, which are dominant in the MAECG. A reference template is then reconstructed based on MQRS locations and removed from the preprocessed signal resulting in the raw FECG. This extracted FECG is further corrected and enhanced before obtaining the Fetal R peaks. The detection of FQRS and calculation of FHR has been compared against the reference Fetal Scalp ECG. Results indicate that the approach achieved good accuracy.

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