scholarly journals The Polar® OH1 Optical Heart Rate Sensor is Valid during Moderate-Vigorous Exercise

2018 ◽  
Vol 02 (03) ◽  
pp. E67-E70 ◽  
Author(s):  
Matthew Schubert ◽  
Amy Clark ◽  
Annie De La Rosa
Keyword(s):  
Heart Rate ◽  
Repeated Measures ◽  
New Technologies ◽  
Heart Rate Monitoring ◽  
Vigorous Exercise ◽  
Typical Error ◽  
Yoga Class ◽  
Main Effect ◽  
Mean Differences ◽  
Rate Sensor

Abstract Purpose Traditional heart-rate monitoring through the use of electrocardiograms or chest-worn heart rate sensors can be challenging in certain sports or in field settings. New technologies, such as photoplethysmography (PPG), have enabled heart-rate monitoring at alternate sites. However, to date, the accuracy and validity of various PPG sensors has not been examined in detail. The purpose of the present investigation was to determine the validity of an arm-worn PPG sensor during yoga sequences. Methods Fifteen college-aged men and women participated in a ~45 min power vinyasa yoga class. During the class, participants wore Polar® H7 chest straps and RCX3 receivers (criterion) and Polar® OH1 arm bands on their upper right arm (practical). Mean differences were compared via a paired t-test, heart rate during yoga using a time*device repeated measures ANOVA, and agreement assessed with Bland-Altman analysis. Results Mean heart rates during yoga were not different (mean difference=0.76, 95% CI: –0.54 to 2.06; p=0.229). Yoga created a main effect of time on heart rate (p<0.0001), but there was no difference between devices (p=0.86) or interaction (p=0.90). Mean bias±95% limits of agreement was 0.76±1.30 bpm, with a typical error of 2.42±1.49 bpm and a coefficient of variation of 1.8±1.5%. Conclusions Results of the present investigation revealed that the Polar® OH1 is a valid measure of heart rate during moderate-vigorous exercise. Future validation studies should consider other exercise modes and participant characteristics.

Comparison of Linear and Nonlinear HRV Dynamics Across Exercise Intensities After Menopause

2020 ◽  
Vol 28 (1) ◽  
pp. 149-154
Author(s):  
Julia C. Orri ◽  
Elizabeth M. Hughes ◽  
Deepa G. Mistry ◽  
Antone Scala
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Exercise Training ◽  
Postmenopausal Women ◽  
Maximal Exercise ◽  
Exercise Recovery ◽  
Active Recovery ◽  
Vigorous Exercise ◽  
Main Effect ◽  
Linear And Nonlinear

The authors compared the linear and nonlinear heart rate variability dynamics from rest through maximal exercise in postmenopausal women who trained at either moderate or high intensities. The outcome variables included the RR triangular index, TINN, SD1, SD2, SD1/SD2, DFA α1, DFA α2, and α1/α2. Maximal exercise reduced SD1, SD2, DFA α1, DFA α2, α1/α2, RRTri, and TINN in both groups and increased SD1/SD2 (p < .05). Two minutes of active recovery produced significant increases in SD1, SD2, DFA α1, and TINN, compared with exercise in both groups (p < .0001). There was also a significant main effect between groups for RRTri during exercise recovery, with the moderate group achieving higher levels (p < .04). The authors have shown that both moderate and vigorous exercise training can lead to a healthy response to maximal exercise and recovery, with the moderate group having a slightly improved recovery in the triangular index.

Fetal Heart Rate Monitoring during Intrauterine Open Surgery for Myelomeningocele Repair

2015 ◽  
Vol 39 (3) ◽  
pp. 172-178 ◽  
Author(s):  
Eduardo Félix Martins Santana ◽  
Antônio Fernandes Moron ◽  
Maurício Mendes Barbosa ◽  
Herbene Jose Figuinha Milani ◽  
Stephanno Gomes Pereira Sarmento ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Heart Rate ◽  
Repeated Measures ◽  
Fetal Heart Rate ◽  
Open Surgery ◽  
Fetal Heart ◽  
Abdominal Cavity ◽  
Fetal Heart Rate Monitoring ◽  
The Mean ◽  
Mean Differences

Objective: The aim of this study was to assess fetal hemodynamics during intrauterine open surgery for myelomeningocele (MMC) repair by describing fetal heart rate (FHR) monitoring in detail related to each part of the procedure. Methods: A study was performed with 57 fetuses submitted to intrauterine MMC repair between the 24th and 27th week of gestation. Evaluations of FHR were made in specific periods: before anesthesia, after anesthesia, at the beginning of laparotomy, during uterus abdominal withdrawal, hysterotomy, neurosurgery (before incision, during early skin manipulation, spinal cord releasing, and at the end of neurosurgery), abdominal cavity reintroduction, and abdominal closure, and at the end of surgery. Means ± standard deviations of FHR were established for each period, and analysis of variance with repeated measures was used to assess differences between these periods. The mean differences were assessed with 95% confidence intervals and were analyzed by Tukey's multiple comparison test. Results: The mean FHR during the specific periods mentioned above was 140.2, 140, 139.2, 138.8, 135.1, 133.9, 123.1, 134.0, 134.5, 137.9, and 139.9 bpm, respectively (p < 0.0001). Comparing the different periods, the highest frequencies were observed in the initial and final moments. The neurosurgery stage presents lower frequencies, especially during the release of the spinal cord. Conclusion: FHR monitoring revealed interesting findings in terms of physiological fetal changes during MMC repair, especially during neurosurgery, which was the most critical period.

New methods of detecting atrial fibrillation

2020 ◽  
Vol 3 (56) ◽  
pp. 23-26
Author(s):  
Agnieszka Kotalczyk ◽  
Michał Mazurek ◽  
Ewa Jędrzejczyk-Patej
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Early Detection ◽  
Minimally Invasive ◽  
New Technologies ◽  
Ecg Monitoring ◽  
Thromboembolic Complications ◽  
Heart Rate Monitoring ◽  
Monitoring Methods ◽  
New Methods

Atrial fibrillation is known as the epidemic of the 21st century. This most common arrhythmia carries the risk of, inter alia, serious thromboembolic complications. Due to the paroxysmal nature of arrhythmia, the diagnosis of atrial fibrillation is not easy. New technologies and methods of minimally invasive, continuous ECG monitoring for early detection of arrhythmias are dynamically developing. The following article discusses new heart rate monitoring methods for the detection of atrial fibrillation.

scholarly journals Heart Rate Monitoring and Stimulation with the Internet of Thing-Based (IoT) Alquran Recitation

SinkrOn ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 221 ◽  
Author(s):  
Dirja Nur Ilham ◽  
Hardisal Hardisal ◽  
Balkhaya Balkhaya ◽  
Rudi Arif Candra ◽  
Erwinsyah Sipahutar
Keyword(s):  
Heart Rate ◽  
Data Collection ◽  
The Internet ◽  
Test Results ◽  
Heart Rate Monitoring ◽  
Collection Process ◽  
Data Collection Process ◽  
Rate Sensor ◽  
Media Data ◽  
Internet Of Thing

Heart rate or pulse is an important parameter used to determine a person's mental state because when the heartbeat is abnormal, it is necessary to make further efforts to prevent undesirable things from happening. In this study, researchers plan to design the Heart Rate Monitoring and Stimulation with the Internet of Thing-Based (IoT) Qur'an Recitation. The steps taken to design a monitoring system and stimulate the human heartbeat are to design hardware and software. The sensor used is a pulse heart rate sensor as a heart rate detector processed by Arduino-based NodeMCU V3, the test results and measurements will be sampled using smartphone media. Data collection process; polytechnic students as objects taken by their heart rate data, the data collection process was carried out twice, the morning before the lecture began and the afternoon after the lecture process was complete, the testing process was done by taking data using a smartphone and turning on the Quran recitation for 2 minutes. Research is expected to be an stimulus indicator of heart rate, so that the heart rate is more relaxed and calm

scholarly journals Monitoring Detak Jantung untuk Atlet Lari 100 Meter Berbasis Internet of Things

2019 ◽  
Vol 6 (2) ◽  
pp. 85
Author(s):  
Muhammad Aksa Hidayat ◽  
Sritrusta Sukaridhoto ◽  
Achmad Basuki ◽  
Muhammad Fajrul Falah
Keyword(s):  
Heart Rate ◽  
Internet Of Things ◽  
Real Time ◽  
Heart Rate Monitoring ◽  
Monitoring Tool ◽  
Reading Error ◽  
Read Well ◽  
Rate Sensor ◽  
Data Reading

Abstract— At the 2018 ASEAN Games, Indonesia won 98 medals, the number of medals exceeded the expected target, this achievement could not be separated from the role of coaches who always monitor the condition of their athletes while training on the field. One of the conditions of monitoring athletes can be done by monitoring the heartbeat activity of each athlete during exercise. In this study the authors made a heart rate monitoring tool for IoT 100 meter runners that can be used in the field and send data in real time. Polar Heart Rate heart rate sensor is good to use because the data reading error is 0.4%. 2. heart rate monitoring can only communicate up to 70 meters more. Data entered and read well into the server.

scholarly journals Development of a Low Cost Heart Rate Monitoring and Transmission System using PPG Signal Processing for Wearable Devices

2019 ◽  
Vol 8 (10) ◽  
pp. 4070-4077
Keyword(s):  
Heart Rate ◽  
Complete System ◽  
Low Cost ◽  
Spectral Estimation ◽  
Wearable Devices ◽  
Heart Rate Monitoring ◽  
Second Derivatives ◽  
Fitness Tracking ◽  
Rate Sensor ◽  
Tracking Devices

Photoplethysmography (PPG) technique is used in most of the fitness tracking devices available now-a-days, due to its low cost and simplicity. These PPG signals are obtained from the variations in the blood flow with the help of pulse rate sensor. In this paper, PPG signal is acquired from two PPG sensors worn in the finger and the wrist to get the heart rate and its various parameters. The signal noise is removed with the help of MATLAB with various filters to get the smooth signal. The peak detection is done for heart rate (HR) and peak interval calculation, the spectral estimation is done, the first and second derivatives and the heart rate variability are obtained. The low cost Arduino nano and the Bluetooth module is used for the development and the transmission of HR value from the wearable device through an application developed for it, as well as the values are transmitted remotely with the help of the Global System for Communication (GSM) built in the mobile phone, which can display the value and can also transmit it to any particular person or remote physician who can monitor the person’s HR remotely. The complete system developed provides a low cost solution for heart rate detection and monitoring of a person from a distance.

scholarly journals Validity and Reliability of the Apple Watch for Measuring Heart Rate During Exercise

2017 ◽  
Vol 1 (06) ◽  
pp. E206-E211 ◽  
Author(s):  
Alaa Khushhal ◽  
Simon Nichols ◽  
Will Evans ◽  
Damien Gleadall-Siddall ◽  
Richard Page ◽  
...  
Keyword(s):  
Heart Rate ◽  
Treadmill Exercise ◽  
Validity And Reliability ◽  
Heart Rates ◽  
Typical Error ◽  
Intraclass Correlations ◽  
Left And Right ◽  
The Mean ◽  
Rate Sensor ◽  
Over Time

AbstractWe examined the validity and reliability of the Apple Watch heart rate sensor during and in recovery from exercise. Twenty-one males completed treadmill exercise while wearing two Apple Watches (left and right wrists) and a Polar S810i monitor (criterion). Exercise involved 5-min bouts of walking, jogging, and running at speeds of 4 km.h−1, 7 km.h−1, and 10 km.h−1, followed by 11 min of rest between bouts. At all exercise intensities the mean bias was trivial. There were very good correlations with the criterion during walking (L: r=0.97; R: r=0.97), but good (L: r=0.93; R: r=0.92) and poor/good (L: r=0.81; R: r=0.86) correlations during jogging and running. Standardised typical error of the estimate was small, moderate, and moderate to large. There were good correlations following walking, but poor correlations following jogging and running. The percentage of heart rates recorded reduced with increasing intensity but increased over time. Intra-device standardised typical errors decreased with intensity. Inter-device standardised typical errors were small to moderate with very good to nearly perfect intraclass correlations. The Apple Watch heart rate sensor has very good validity during walking but validity decreases with increasing intensity.

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