scholarly journals Variable agreement between wearable heart rate monitors during exercise in cystic fibrosis

2019 ◽  
Vol 5 (4) ◽  
pp. 00006-2019 ◽  
Author(s):  
Madeline Gaynor ◽  
Abbey Sawyer ◽  
Sue Jenkins ◽  
Jamie Wood
Keyword(s):  
Cystic Fibrosis ◽  
Heart Rate ◽  
Pulse Oximeter ◽  
Cycle Ergometer ◽  
Heart Rate Monitors ◽  
Activity Monitors ◽  
Interval Exercise ◽  
Bland Altman Method ◽  
Rate Sensor

In people with cystic fibrosis (CF), greater cardiorespiratory fitness is associated with improved survival and quality of life. Wearable activity monitors are a popular method of monitoring exercise, with measures of heart rate used to indicate exercise intensity. We assessed the agreement of heart rate recordings obtained using the Fitbit Charge HR™, Polar® H7 heart rate sensor and Masimo SET® Rad-5v pulse oximeter with the three-lead ECG during continuous and interval exercise.Adults with CF completed two exercise sessions, of 15-min duration per session, on a cycle ergometer while wearing the previously mentioned monitors. Firstly, participants cycled at 30% of estimated peak workload (Wpeak). Secondly, participants cycled at 1-min intervals at 60% of Wpeak interspersed with 2 min of unloaded cycling. Heart rate readings on all devices were recorded at minute intervals and their agreement was analysed using the Bland–Altman method.The Polar® H7 heart rate sensor had the best agreement with three-lead ECG, with a bias of 0±1 bpm during both continuous and interval exercise. The Masimo SET® Rad-5v pulse oximeter had good agreement, with a bias of 1±7 bpm and 1±5 bpm during continuous and interval exercise, respectively. The Fitbit Charge HR™ demonstrated less agreement, with a bias of 9±17 bpm and 5±13 bpm during continuous and interval exercise, respectively.The Fitbit Charge HR™ is not recommended for assessing heart rate during exercise in adults with CF. Findings support the use of the Polar® H7 for accurate heart rate monitoring.

scholarly journals Application and Validation of Activity Monitors’ Epoch Lengths and Placement Sites for Physical Activity Assessment in Exergaming

2018 ◽  
Vol 7 (9) ◽  
pp. 268 ◽  
Author(s):  
Jungyun Hwang ◽  
Austin Fernandez ◽  
Amy Lu
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Intraclass Correlation ◽  
Activity Levels ◽  
Physical Activity Intensity ◽  
Activity Monitors ◽  
Epoch Length ◽  
Activity Intensity ◽  
Physical Activity Levels ◽  
Rate Sensor

We assessed the agreement of two ActiGraph activity monitors (wGT3X vs. GT9X) placed at the hip and the wrist and determined an appropriate epoch length for physical activity levels in an exergaming setting. Forty-seven young adults played a 30-min exergame while wearing wGT3X and GT9X on both hip and wrist placement sites and a heart rate sensor below the chest. Intraclass correlation coefficient indicated that intermonitor agreement in steps and activity counts was excellent on the hip and good on the wrist. Bland-Altman plots indicated good intermonitor agreement in the steps and activity counts on both placement sites but a significant intermonitor difference was detected in steps on the wrist. Time spent in sedentary and physical activity intensity levels varied across six epoch lengths and depended on the placement sites, whereas time spent from a 1-s epoch of the hip-worn monitors most accurately matched the relative exercise intensity by heart rate. Hip placement site was associated with better step-counting accuracy for both activity monitors and more valid estimation of physical activity levels. A 1-s epoch was the most appropriate epoch length to detect short bursts of intense physical activity and may be the best choice for data processing and analysis in exergaming studies examining intermittent physical activities.

Video-Assisted Cycling Alters Perception of Effort and Increases Self-Selected Exercise Intensity

1998 ◽  
Vol 86 (3) ◽  
pp. 915-927 ◽  
Author(s):  
Robert A. Robergs ◽  
Selda Bereket ◽  
Melissa A. Knight
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Perceived Exertion ◽  
Randomized Trials ◽  
Cycle Ergometer ◽  
Ratings Of Perceived Exertion ◽  
Perceived Effort ◽  
Video Assisted ◽  
Video Condition

Two studies were conducted to assess whether indoor video-assisted cycling influenced a person's quality of exercise (subjectively and quantitatively), compared to indoor cycling alone. In the first study 12 recreationally active subjects completed an initial test of VO2max, and three randomized trials of cycling at 70% VO2max (35 min.) watching a commercial cycling tape (cycle video), a test pattern displayed on the ergometer screen (blank video), or no video. Subjects' ratings of perceived exertion (RPE) and Affect were recorded, and heart rate and oxygen consumption (VO2) were measured during testing. The second study required 12 different subjects first to complete an assessment of VO2max and then two randomized trials (cycle video and no video) on a cycle ergometer where they freely set the intensity of their own exercise. Measurements of VO2, heart rate, blood lactate, power output, RPE, and Affect were recorded during testing. Results of Exp. 1 indicated that subjects' perceived effort equally between the two conditions, yet reported significantly ( p <.05) higher affect at 25 and 35 min. of cycling during the cycle video condition than no video condition. Results of Exp. 2 indicated that despite similar levels of blood lactate, subjects exercised at a significantly higher intensity during the cycle video condition compared to no video condition, with a higher VO2 and heart rate. The data support the use of indoor exercise videos to improve the exercise experience and also to increase the physiological demands of indoor exercise.

Increased Activity in Patients with Cardiovascular Risk Factors Increases Heart Rate Variability

2019 ◽  
Vol 42 (6) ◽  
pp. 431-436
Author(s):  
Natsuki Nakayama ◽  
Masahiko Miyachi ◽  
Koji Tamakoshi ◽  
Koji Negi ◽  
Koji Watanabe ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sleep Onset ◽  
Sleep Cycle ◽  
Activity Monitors ◽  
Activity Group ◽  
Increased Activity ◽  
Physical Activity Group

This study evaluated the effect of increased physical activity on high-frequency (HF) heart rate variability (HRV) during the first hour after sleep onset in patients with hypertension and/or stable angina pectoris. Physical activity and HF were measured using activity monitors and 24-hour Holter monitors at baseline and 6 months later. The physical activity increased in 28 patients (increase group) and decreased in 20 patients (decrease group) after 6 months. In this study, after 6 months, compared to the decreased physical activity group, the increased physical activity group showed a significant increase in the HF index during the first hour after sleep onset. Therefore, the increase in the HF index may have been due to the increase in physical activity. An increase in physical activity suggests that the quality of sleep early in the sleep cycle may be improved, which may affect the patient’s prognosis.

A Portable and USB-Powered Device for Heart Rate Extraction of Optical Plethysmography Signal

2015 ◽  
Vol 771 ◽  
pp. 13-16
Author(s):  
Margi Sasono ◽  
Apik Rusdiarna Ip
Keyword(s):  
Heart Rate ◽  
Healthy Volunteers ◽  
Pulse Oximeter ◽  
Near Infrared ◽  
Portable Device ◽  
Infrared Light ◽  
Clinical Practices ◽  
Near Infrared Light ◽  
Rate Sensor ◽  
Main Component

Optical plethysmography technology has been used to design and develop a portable device for heart rate sensor. These device, consisting of near-infrared light-emitting diodes (LEDs) and photodetectors, offer a simple means of extraction the heart rate noninvasively on fingertip’s healthy volunteers. The acquisition signal is carried out based on the detection of the absorbance of near-infrared light in blood vessels due to heart’s pump activity. The microcontroller is used as the main component of electronics module. The communication to personal computer (PC) and power supply of device are provided by USB system. The algorithm of Fast Fourier Transform (FFT) in the software was used to generate the spectra of the signal and determine the HR of the obtained signal. The performance of developed device is tested on 10 fingertips of healthy volunteers, aged 19 to 57 years. A Pulse Oximeter commercial was used as gold standard instrument for comparison of results obtained by the designed device. In this paper the correlation analysis was applied to validate the results of both devices. The analysis show that the HR measured is positively correlated. These results show that the correlation between the HR measured by both the designed PPG device and Pulse Oximeter commercial are almost perfectly linear. Thus, the pulse signals gathered by the designed device are accurately believed to be representative of the heart activity of healthy volunteers. The validation method supports that designed device can potentially be developed as a simple, low power, and portable device for the importance of biomedical research (mainly for processing biomedical signal) and clinical practices.

scholarly journals Validity of Apple Watch Heart Rate Sensor Compared to Polar H10 Heart Rate Monitor [Georgia College and State University]

2019 ◽  
Author(s):  
Lorin Weaver ◽  
Taylor Wooden ◽  
Jake Grazer
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Healthcare Systems ◽  
Rating Of Perceived Exertion ◽  
State University ◽  
Heart Rate Monitor ◽  
Heart Rate Monitors ◽  
New Era ◽  
Know How ◽  
Rate Sensor

Introduction: In this day and age, technology is progressing faster than people know how to keep ahead of the advancements. The new era of technology and smartwatches can be a great benefit to healthcare systems around the world. They can be used for weight management, tracking aerobic exercise, and tracking heart rate. However, if smartwatches can be trusted to accurately help people in their everyday lives, then why aren’t doctors and trainers incorporating them into their outpatient instructions? Consequently, the purpose of this study is to observe the accuracy of Apple Watches and to assess if they are as reliable as the Polar Heart Monitors that can be found in exercise testing labs. Methods: Nine college-aged males and six females participated in the YMCA cycle submaximal test while wearing both a Polar Heart Rate Monitor (H10) and a series 3 or 4 Apple Watch to compare the accuracy of the Apple Watch device.  Heart rate and rating of perceived exertion were taken during each stage of testing. Paired sample t-tests were used to compare the heart rate readings in each stage. Results: There was no statistical difference between the Apple Watch heart rate reading and the Polar Heart Monitor (p > 0.05).Discussion: Based on the results regarding heart rate through the different stages of the YMCA submaximal test, it appears as though the Apple Watch is comparable to the chest strap monitor during cycling. Previous research has shown similar findings during exercise on a treadmill, indicating that the chest strap and Apple Watch measured similar heart rate values (Gillinov et al., 2017) . Based on the findings of this study, it appears Apple Watch heart rate technology is comparable to chest strap heart rate monitors during various modes of physical activity.

scholarly journals SaferBirths bundle of care protocol: a stepped-wedge cluster implementation project in 30 public health-facilities in five regions, Tanzania

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Benjamin A. Kamala ◽  
Hege L. Ersdal ◽  
Estomih Mduma ◽  
Robert Moshiro ◽  
Sakina Girnary ◽  
...  
Keyword(s):  
Heart Rate ◽  
Healthcare Workers ◽  
Neonatal Resuscitation ◽  
Health Facilities ◽  
Data Driven ◽  
Stepped Wedge ◽  
Local Data ◽  
Maternal Deaths ◽  
Heart Rate Monitors

Abstract Background The burden of stillbirth, neonatal and maternal deaths are unacceptably high in low- and middle-income countries, especially around the time of birth. There are scarce resources and/or support implementation of evidence-based training programs. SaferBirths Bundle of Care is a well-proven package of innovative tools coupled with data-driven on-the-job training aimed at reducing perinatal and maternal deaths. The aim of this project is to determine the effect of scaling up the bundle on improving quality of intrapartum care and perinatal survival. Methods The project will follow a stepped-wedge cluster implementation design with well-established infrastructures for data collection, management, and analysis in 30 public health facilities in regions in Tanzania. Healthcare workers from selected health facilities will be trained in basic neonatal resuscitation, essential newborn care and essential maternal care. Foetal heart rate monitors (Moyo), neonatal heart rate monitors (NeoBeat) and skills trainers (NeoNatalie Live) will be introduced in the health facilities to facilitate timely identification of foetal distress during labour and improve neonatal resuscitation, respectively. Heart rate signal-data will be automatically collected by Moyo and NeoBeat, and newborn resuscitation training by NeoNatalie Live. Given an average of 4000 baby-mother pairs per year per health facility giving an estimate of 240,000 baby-mother pairs for a 2-years duration, 25% reduction in perinatal mortality at a two-sided significance level of 5%, intracluster correlation coefficient (ICC) to be 0.0013, the study power stands at 0.99. Discussion Previous reports from small-scale Safer Births Bundle implementation studies show satisfactory uptake of interventions with significant improvements in quality of care and lives saved. Better equipped and trained birth attendants are more confident and skilled in providing care. Additionally, local data-driven feedback has shown to drive continuous quality of care improvement initiatives, which is essential to increase perinatal and maternal survival. Strengths of this research project include integration of innovative tools with existing national guidelines, local data-driven decision-making and training. Limitations include the stepwise cluster implementation design that may lead to contamination of the intervention, and/or inability to address the shortage of healthcare workers and medical supplies beyond the project scope. Trial registration Name of Trial Registry: ISRCTN Registry. Trial registration number: ISRCTN30541755. Date of Registration: 12/10/2020. Type of registration: Prospectively Registered.

19.2 cm3flexible fetal heart rate sensor for improved quality of pregnancy life

2016 ◽  
Author(s):  
Hiroyuki Sato ◽  
Kazuhiro Yoshimura ◽  
Hiroyuki Nakamoto ◽  
Daijiro Ishibashi ◽  
Yoshihiro Nakata ◽  
...  
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Rate Sensor

scholarly journals Differences in Physiological and Perceptual Responses to High Intensity Interval Exercise Between Arm and Leg Cycling

2021 ◽  
Vol 12 ◽  
Author(s):  
Todd A. Astorino ◽  
Danielle Emma
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
High Intensity ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Cycle Ergometer ◽  
Affective Valence ◽  
Interval Exercise ◽  
Leg Cycling ◽  
High Intensity Interval

This study compared changes in oxygen uptake (VO2), heart rate (HR), blood lactate concentration (BLa), affective valence, and rating of perceived exertion (RPE) between sessions of high intensity interval exercise (HIIE) performed on the arm (ACE) and leg cycle ergometer (LCE). Twenty three active and non-obese men and women (age and BMI=24.7±5.8year and 24.8±3.4kg/m2) initially underwent graded exercise testing to determine VO2max and peak power output (PPO) on both ergometers. Subsequently on two separate days, they performed 10 1min intervals of ACE or LCE at 75 %PPO separated by 1min of active recovery at 10 %PPO. Gas exchange data, HR, and perceptual responses were obtained continuously and blood samples were acquired pre- and post-exercise to assess the change in BLa. VO2max and PPO on the LCE were significantly higher (p&lt;0.001) than ACE (37.2±6.3 vs. 26.3±6.6ml/kg/min and 259.0±48.0 vs. 120.0±48.1W). Mean VO2 (1.7±0.3 vs. 1.1±0.3L/min, d=2.3) and HR (149±14 vs. 131±17 b/min, d=2.1) were higher (p&lt;0.001) in response to LCE vs. ACE as was BLa (7.6±2.6 vs. 5.3±2.5mM, d=2.3), yet there was no difference (p=0.12) in peak VO2 or HR. Leg cycling elicited higher relative HR compared to ACE (81±5 vs. 75±7 %HRmax, p=0.01), although, there was no difference in relative VO2 (63±6 vs. 60±8 %VO2max, p=0.09) between modes. Affective valence was lower during LCE vs. ACE (p=0.003), although no differences in enjoyment (p=0.68) or RPE (p=0.59) were demonstrated. Overall, HIIE performed on the cycle ergometer elicits higher relative heart rate and blood lactate concentration and a more aversive affective valence, making these modes not interchangeable in terms of the acute physiological and perceptual response to interval based exercise.

scholarly journals Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device?

Proceedings ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 128
Author(s):  
Hugo G. Espinosa ◽  
David V. Thiel ◽  
Matthew Sorell ◽  
David Rowlands
Keyword(s):  
Heart Rate ◽  
Inertial Sensor ◽  
Pearson Correlation ◽  
Smart Phone ◽  
Human Movement ◽  
Stair Climbing ◽  
Sensor Data ◽  
Activity Monitors ◽  
Step Counting ◽  
Rate Sensor

The use of wearable technologies for the monitoring of human movement has increased considerably in the past few years, with applications to sports and other physical activities. Energy expenditure, walking and running distance, step count, and heart rate are some of the metrics provided by such devices via smart phone applications. Most of the research studies have involved validating the accuracy and reliability of the activity monitors by using the post-processed data from the device. The aim of this preliminary study was to determine if we can trust sensor data obtained from an Apple watch. This study evaluated the pre-processed data from the watch through step counting and heart rate measurements, and compared it with known validated devices (in-house 9DOF inertial sensor and Polar H10TM). Repeated activities (walking, jogging, and stair climbing) of varying duration and intensity were conducted by participants of varying age and body mass index (BMI). Pearson correlation (r > 0.95) and Bland–Altman statistical analyses were applied to the data to determine the level of agreement between the validated devices and the watch. The sensors from the Apple watch counted steps and measured heart rate with a minimum error and performed as expected.

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