Multi-dry-electrode plate sensor for non-invasive electrocardiogram and heart rate monitoring for the assessment of drug responses in freely behaving mice

2019 ◽  
Vol 97 ◽  
pp. 29-35 ◽  
Author(s):  
Shinichi Sato
Keyword(s):  
Heart Rate ◽  
Heart Rate Monitoring ◽  
Drug Responses ◽  
Non Invasive ◽  
Dry Electrode ◽  
Freely Behaving ◽  
Electrode Plate

scholarly journals Analysis of Non-invasive Video Based Heart Rate Monitoring System obtained from Various Distances and Different Facial Spot

2018 ◽  
Vol 1049 ◽  
pp. 012003 ◽  
Author(s):  
Norwahidah Ibrahim ◽  
Razali Tomari ◽  
Wan Nurshazwani Wan Zakaria ◽  
Nurmiza Othman
Keyword(s):  
Heart Rate ◽  
Monitoring System ◽  
Heart Rate Monitoring ◽  
Non Invasive

scholarly journals Real-Time Cardiac Beat Detection and Heart Rate Monitoring from Combined Seismocardiography and Gyrocardiography

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3472 ◽  
Author(s):  
D’Mello ◽  
Skoric ◽  
Xu ◽  
Roche ◽  
Lortie ◽  
...  
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Time Algorithm ◽  
Cardiac Monitoring ◽  
Computational Time ◽  
Heart Rate Monitoring ◽  
Heart Rates ◽  
Non Invasive ◽  
Beat Detection ◽  
Speed Accuracy

Cardiography is an indispensable element of health care. However, the accessibility of at-home cardiac monitoring is limited by device complexity, accuracy, and cost. We have developed a real-time algorithm for heart rate monitoring and beat detection implemented in a custom-built, affordable system. These measurements were processed from seismocardiography (SCG) and gyrocardiography (GCG) signals recorded at the sternum, with concurrent electrocardiography (ECG) used as a reference. Our system demonstrated the feasibility of non-invasive electro-mechanical cardiac monitoring on supine, stationary subjects at a cost of $100, and with the SCG–GCG and ECG algorithms decoupled as standalone measurements. Testing was performed on 25 subjects in the supine position when relaxed, and when recovering from physical exercise, to record 23,984 cardiac cycles at heart rates in the range of 36–140 bpm. The correlation between the two measurements had r2 coefficients of 0.9783 and 0.9982 for normal (averaged) and instantaneous (beat identification) heart rates, respectively. At a sampling frequency of 250 Hz, the average computational time required was 0.088 s per measurement cycle, indicating the maximum refresh rate. A combined SCG and GCG measurement was found to improve accuracy due to fundamentally different noise rejection criteria in the mutually orthogonal signals. The speed, accuracy, and simplicity of our system validated its potential as a real-time, non-invasive, and affordable solution for outpatient cardiac monitoring in situations with negligible motion artifact.

A Simple Non-Invasive Automated Heart Rate Monitoring System Using Facial Images

2016 ◽  
pp. 100-122 ◽  
Author(s):  
Humaira Nisar ◽  
Zhen Yao Lim ◽  
Kim Ho Yeap
Keyword(s):  
Heart Rate ◽  
Power Spectrum ◽  
Color Model ◽  
Heart Rate Monitoring ◽  
Monitoring Method ◽  
Non Invasive ◽  
Average Accuracy ◽  
Contact Devices ◽  
The Face ◽  
Cie Lab

In this chapter we will discuss a simple non invasive automated heart rate monitoring method. Commonly heart rate is measured by using heart rate monitor devices. Many patients do not feel comfortable when they use contact devices for diagnostic purposes. Our algorithm gives a non-invasive way of heart rate measurement. The first step is to record a video. After 5 frames of the video are captured, the face is detected. A total of 300 frames will be used for further processing. At this stage, ROI (part of forehead) will be cropped out automatically. All image frames are in RGB color model, so these will be separated into 3 channels. For analysis, graph normalization is applied, which uses mean and standard deviation. Fast Fourier transform is used to plot the power spectrum of the traces. This power spectrum will have a peak if the heart rate is detected. We used RGB, HSI, YCbCr, YIQ, and CIE LAB color models for analysis. The best result is achieved with RGB color model followed by CIELab. The average accuracy is 95.32%.

An Effective Algorithm for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms

2020 ◽  
Vol 10 (3) ◽  
pp. 633-640 ◽  
Author(s):  
Jingxian Liang ◽  
Jialin Huang ◽  
Liwei Mu ◽  
Baoxian Yu ◽  
Pengbin Chen ◽  
...  
Keyword(s):  
Heart Rate ◽  
Cross Correlation ◽  
Effective Algorithm ◽  
Sleep Staging ◽  
Heart Rate Monitoring ◽  
Non Invasive ◽  
Step Procedure ◽  
The Mean ◽  
Beat Detection ◽  
Beat Heart

Ballistocardiograms (BCG) is an essential signal for vital sign monitoring. Obtaining the beat-to-beat intervals from BCG signal is of great significance for home-care applications, such as sleep staging, heart disease alerting, etc. The current approaches of detecting beat-to-beat intervals from BCG signals are complex. In this paper, we develop a non-invasive BCG monitoring system, and propose an effective and accurate algorithm for beat-to-beat detection. Firstly, a heartbeat shape is adaptively modeled based on a two-step procedure by taking advantage of the J-peak and the K-valley of BCG signals. Then, forward and backward detections with the criteria of both the morphological distance and the cross-correlation are jointly employed to find the position of each BCG signal, and in turn, to determine the beat-to-beat intervals of BCG signals. The proposed method was validated in at least 90 minutes recording from 10 subjects in various setups. The mean absolute beat-to-beat intervals error was 10.72 ms and on an average 97.93% of the beat-to-beat intervals were detected.

scholarly journals Functionality and acceptability of a novel non-invasive neonatal heart rate monitoring device: a qualitative study of healthcare professionals

2020 ◽  
Vol 6 (4) ◽  
pp. 143-150
Author(s):  
Oana Anton ◽  
Ramon Fernandez ◽  
Elizabeth Rendon-Morales ◽  
Rodrigo Aviles-Espinosa ◽  
Christina J Jones ◽  
...  
Keyword(s):  
Heart Rate ◽  
Healthcare Professionals ◽  
Monitoring Device ◽  
Heart Rate Monitoring ◽  
Mortality And Morbidity ◽  
Novel Device ◽  
Non Invasive ◽  
Neonatal Heart ◽  
Sensing Technology ◽  
Neonatal Heart Rate

BackgroundDetecting neonatal heart rate rapidly and accurately at birth is essential if resuscitation is required. The Neo-Sense prototype provides a quick, non-invasive method to measure neonatal heart rate at birth based on electric potential sensing technology. The study aimed to inform the prototype design process by exploring the required features and usability of this novel device among healthcare professionals.MethodsFace-to-face, semistructured interviews were conducted with healthcare professionals involved in the immediate care of babies at birth: paediatricians, midwives and neonatal nurses. Interviews were audio-recorded and subsequently transcribed verbatim. Two independent researchers coded and extracted the emerging categories and performed a thematic content analysis.ResultsIn total, 21 participants were interviewed, 7 from each professional group. Participants expressed a positive attitude towards the novel prototype. The three main themes extracted were anticipated limitations, advantages and suggestions for development and usage. Participants preferred a device that is easy to use and attach, one which is positioned in a mattress or pad, maintaining also the option of being mobile. Education was considered to have a key role in addressing staff anxiety. The ideal features most frequently mentioned were speed of assessment, reliability and accuracy.ConclusionsThe study enabled a better understanding of the perceived barriers and facilitators to developing a new heart rate monitoring device. The development of a quick and accurate device would have immense implications for clinical practice and the potential to improve neonatal mortality and morbidity.

Sign in / Sign up

Export Citation Format

Share Document