Comparison of Heart Rate Recovery Following Exercise to Device-Based Heart Rate Variability Data

Non-invasive measures are preferred when assessing animal welfare. Differences in behavioral and physiological responses toward a stressor could be the result of the selection of horses for specific uses. Behavioral and physiological responses of working and Chilean rodeo horses subjected to a handling test were assessed. Five behaviors, number of attempts, and the time to cross a bridge were video recorded and analyzed with the Observer XT software. Heart rate (HR) and heart rate variability (HRV), to assess the physiological response to the novel stimulus, were registered with a Polar Equine V800 heart rate monitor system during rest and the bridge test. Heart rate variability data were obtained with the Kubios software. Differences between working and Chilean rodeo horses were assessed, and within-group differences between rest and the test were also analyzed. Chilean rodeo horses presented more proactive behaviors and required significantly more attempts to cross the bridge than working horses. Physiologically, Chilean rodeo horses presented lower variability of the heart rate than working horses.

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Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance

BMC Research Notes ◽

10.1186/s13104-020-05355-0 ◽

2020 ◽

Vol 13 (1) ◽

Author(s):

M. M. van Gilst ◽

B. M. Wulterkens ◽

P. Fonseca ◽

M. Radha ◽

M. Ross ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Direct Application ◽

Alternative Methods ◽

Sleep Staging ◽

Practical Application ◽

Sleep Monitoring ◽

Data Source ◽

Variability Data ◽

Ecg Data

Abstract Objective The maturation of neural network-based techniques in combination with the availability of large sleep datasets has increased the interest in alternative methods of sleep monitoring. For unobtrusive sleep staging, the most promising algorithms are based on heart rate variability computed from inter-beat intervals (IBIs) derived from ECG-data. The practical application of these algorithms is even more promising when alternative ways of obtaining IBIs, such as wrist-worn photoplethysmography (PPG) can be used. However, studies validating sleep staging algorithms directly on PPG-based data are limited. Results We applied an automatic sleep staging algorithm trained and validated on ECG-data directly on inter-beat intervals derived from a wrist-worn PPG sensor, in 389 polysomnographic recordings of patients with a variety of sleep disorders. While the algorithm reached moderate agreement with gold standard polysomnography, the performance was significantly lower when applied on PPG- versus ECG-derived heart rate variability data (kappa 0.56 versus 0.60, p < 0.001; accuracy 73.0% versus 75.9% p < 0.001). These results show that direct application of an algorithm on a different source of data may negatively affect performance. Algorithms need to be validated using each data source and re-training should be considered whenever possible.

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The Relationship Between Heart Rate Recovery and Heart Rate Variability in Coronary Artery Disease

Annals of Noninvasive Electrocardiology ◽

10.1111/j.1542-474x.2006.00097.x ◽

2006 ◽

Vol 11 (2) ◽

pp. 154-162 ◽

Cited By ~ 41

Author(s):

Harun Evrengul ◽

Halil Tanriverdi ◽

Sedat Kose ◽

Basri Amasyali ◽

Ayhan Kilic ◽

...

Keyword(s):

Coronary Artery Disease ◽

Heart Rate ◽

Heart Rate Variability ◽

Coronary Artery ◽

Heart Rate Recovery ◽

Artery Disease ◽

The Relationship

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Anova-Based Method for Hurst Exponent Estimation of Heart Rate Variability Sequences

Information Technologies and Control ◽

10.1515/itc-2015-0006 ◽

2014 ◽

Vol 12 (1) ◽

pp. 9-14

Author(s):

G. Georgieva-Tsaneva ◽

M. Dimitrova

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Information Systems ◽

Comparative Analysis ◽

Hurst Exponent ◽

Medical Information ◽

Medical Data ◽

Medical Information Systems ◽

Variability Data

Abstract A method for determination of the Hurst exponent based on Analysis of Variance for processing of medical data sequences is proposed in the paper. It is compared to the “rescaled adjusted range method” developed by Hurst and applied in this paper to heart rate variability data. The obtained results and the performed comparative analysis demonstrate the possibility for effective application of the proposed method in novel medical information systems.

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