Real-Time Robust Heart Rate Estimation Based on Bayesian Framework and Grid Filters

2012 ◽  
pp. 67-90
Author(s):  
Radoslav Bortel ◽  
Pavel Sovka
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Computational Complexity ◽  
Probability Distribution ◽  
Real Time ◽  
Vigorous Physical Activity ◽  
Time Algorithm ◽  
Portable Devices ◽  
Inference Procedure ◽  
Heart Rate Estimation

In this chapter, the authors discuss derivation, implementation, and testing of a robust real-time algorithm for the estimation of heart rate (HR) from electrocardiograms recorded on subjects performing vigorous physical activity. They formulate the problem of HR estimation as a problem of inference in a Bayesian network, which utilizes prior information about the probability distribution of HR changes. From this formulation they derive an inference procedure, which can be implemented as a grid filter. The resulting algorithm can then follow even a rapidly changing HR, whilst withstanding a series of missed or false QRS detections. Also, the HR estimate is complete with confidence intervals to allow the identification of the moments, where the precision of HR estimation is lowered. Additionally, the computational complexity of this algorithm is acceptable for battery powered portable devices.

Real-time Judgment of Workload using Heart Rate and Physical Activity

2020 ◽  
Author(s):  
Nobuki Hashiguchi ◽  
Lim Yeongjoo ◽  
Cyo Sya ◽  
Shinichi Kuroishi ◽  
Yasuhiro Miyazaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Real Time ◽  
Time Judgment

Detecting Pedestrian Situation Awareness in Real-Time: Algorithm Development Using Heart Rate Variability and Phone Position

2018 ◽  
Vol 62 (1) ◽  
pp. 1579-1583
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Yi Wang ◽  
Si Yang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Situation Awareness ◽  
Mental State ◽  
Time Algorithm ◽  
Support Vector ◽  
Vehicle Design ◽  
Automated Vehicle ◽  
Hrv Analysis

To help automated vehicles learn surrounding environments via V2X communications, it is important to detect and transfer pedestrian situation awareness to the related vehicles. Based on the characteristics of pedestrians, a real-time algorithm was developed to detect pedestrian situation awareness. In the study, the heart rate variability (HRV) and phone position were used to understand the mental state and distractions of pedestrians. The HRV analysis was used to detect the fatigue and alert state of the pedestrian, and the phone position was used to define the phone distractions of the pedestrian. A Support Vector Machine algorithm was used to classify the pedestrian’s mental state. The results indicated a good performance with 86% prediction accuracy. The developed algorithm shows high applicability to detect the pedestrian’s situation awareness in real-time, which would further extend our understanding on V2X employment and automated vehicle design.

scholarly journals A Novel Real-Time Human Heart Rate Estimation Method for Noncontact Vital Sign Radar Detection

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 88689-88699
Author(s):  
Yipeng Ding ◽  
Xiali Yu ◽  
Chengxi Lei ◽  
Yinhua Sun ◽  
Xuemei Xu ◽  
...  
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Vital Sign ◽  
Human Heart ◽  
Estimation Method ◽  
Radar Detection ◽  
Rate Estimation ◽  
Heart Rate Estimation

Children’s Heart Rates during Physical Education Lessons: A Review

1996 ◽  
Vol 8 (3) ◽  
pp. 215-233 ◽  
Author(s):  
Gareth Stratton
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Physical Education ◽  
Vigorous Physical Activity ◽  
Moderate Physical Activity ◽  
Physical Educators ◽  
Vigorous Activity ◽  
Education Curriculum ◽  
Maximum Heart Rate ◽  
Physically Active

Physical educators have purported to teach children to be physically active and to promote their fitness. To achieve these goals, children should regularly experience moderate-to-vigorous physical activity (MVPA) during physical education lessons. For the purposes of this review, moderate physical activity is that which elicits a heart rate of 50% of maximum heart rate reserve (MHRR), moderate-to-vigorous activity elicits 60% of MHRR, and vigorous activity elicits 75% of MHRR. Duration criteria were set at 50% of lesson time or 20 min. The majority of lessons described in previous reports failed to achieve these criteria, although problems were noted in method and analyses of data. Lessons with physical activity as a direct goal have been successful in increasing MVPA. A greater focus on physical activity is required in the planning and delivery of physical education lessons if the physical activity and fitness goals of the physical education curriculum are to be met.

scholarly journals How Is the Self-Perceived Work Ability Affected by the Duration of Unemployment, Heart Rate Variability and the Amount of Physical Activity in Older Long-Term Unemployed Persons?

2020 ◽  
Vol 17 (6) ◽  
pp. 2039
Author(s):  
Anke Bumann ◽  
Daniel Niederer ◽  
Constanze Santarossa ◽  
Winfried Banzer ◽  
Lutz Vogt
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Work Ability ◽  
Vigorous Physical Activity ◽  
Total Power ◽  
Work Ability Index ◽  
Cross Sectional ◽  
Perceived Work Ability ◽  
Duration Of Unemployment

Background: This study investigated whether work ability is associated with the duration of unemployment, heart rate variability (HRV), and the level of physical activity. Methods: Thirty-four unemployed persons (mean 55.7 ± standard deviation 33.3 years, 22 female, 12 male, unemployed: range 1–22.5 years) participated in the cross-sectional study. The Work Ability Index (WAI) and International Physical Activity Questionnaire (IPAQ) were applied. Short-term (five minutes) resting HRV (Low Frequency (LF), High Frequency (HF), Total Power (TP)) was collected. Results: Work ability was positively associated with the HRV: LF (r = 0.383; p = 0.025), HF (r = 0.412; p = 0.015) and TP (r = 0.361; p = 0.036). The WAI showed a positive linear correlation with the amount of total physical activity (r = 0.461; p = 0.006) as well as with the amount of moderate to vigorous physical activity (r = 0.413; p = 0.015). No association between the WAI and the duration of unemployment occurred. Conclusions: the relation between self-perceived work ability, health-associated parameters, the HRV and the level of physical activity points out the relevance of health-care exercise and the need of stress-reducing interventions to improve perceived work ability. Our results point out the need for the further and more holistic development of healthcare for the unemployed.

Ambulatory Activity and Simple Cardiorespiratory Parameters at Rest and Submaximal Exercise

2003 ◽  
Vol 28 (5) ◽  
pp. 699-709 ◽  
Author(s):  
Catrine Tudor-Locke ◽  
Barbara E. Ainsworth ◽  
Melicia C. Whitt ◽  
Raymond W. Thompson ◽  
Cheryl L. Addy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Heart Rate ◽  
Inverse Relationship ◽  
Vigorous Physical Activity ◽  
Submaximal Exercise ◽  
Ambulatory Activity ◽  
Graded Exercise Test ◽  
Graded Exercise ◽  
The Relationship

The purpose of this study was to explore the relationship between objectively determined ambulatory activity and simple cardiorespiratory parameters (heart rate and blood pressure at rest and during submaximal exercise) in individuals who were stratified for self-reported participation (yes/any vs. no/none) in vigorous physical activity (PA). Ninety-eight subjects (African Americans: 7 M, 16 F; Caucasians: 33 M, 42 F; mean age 46.4 ± 15.4 yrs; mean BMI 26.7 ± 4.8) wore a pedometer for 21 consecutive days and completed a 10-min submaximal treadmill graded exercise test with HR (beats/min) and BP (mmHg) measured while walking at 4.8 km/hr and a 10% grade. Subjects averaged 7,618 ± 3,045 steps/day. There were no differences in steps/day by self-reported vigorous PA strata. There was an inverse relationship (r = −0.35, p = 0.03) between steps/day and resting HR in subjects who reported no vigorous PA. There was an inverse relationship (r = −0.22, p = 0.04) between steps/day and submaximal HR in all subjects. When stratified for self-reported vigorous PA, the inverse relationship between steps/day and submaximal HR was stronger for those reporting no vigorous PA (r = −0.39, p = 0.01) vs. those reporting any vigorous PA (r = 0.28, p = 0.05). There was no relationship between steps/day and BP at rest or during exercise in this normotensive sample. Key words: walking, blood pressure, heart rate

Sign in / Sign up

Export Citation Format

Share Document