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Heart rate variability (HRV) dynamics following training sessions provide insight into the balance between physiological stress and recovery. Traditional approaches often reduce HRV to scalar summaries, overlooking the information contained in the full recovery trajectory.
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2014
Filtering time series is an important task in many domains as biomedical signal processing. The Heart Rate Variability (HRV) is the analysis of the RR time series obtained as intervals between heart beats. Usually the RR time series obtained are non-stationary and are present ectopic beats, which prevents extraction of useful information, therefore ...
Z. Germán-Salló, A. Gligor, H. S. Grif
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Filtering time series is an important task in many domains as biomedical signal processing. The Heart Rate Variability (HRV) is the analysis of the RR time series obtained as intervals between heart beats. Usually the RR time series obtained are non-stationary and are present ectopic beats, which prevents extraction of useful information, therefore ...
Z. Germán-Salló, A. Gligor, H. S. Grif
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Застосунок «Research HRV дозволяє вимірювати варіабельність серцевого ритму спортсменів різних спеціалізацій з метою визначення функціонального стану.
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Software for advanced HRV analysis Software for advanced HRV analysis
2017The study of performance, workload, and stress have become a mainstay in the field of Human Factors. These constructs are multi-faceted and are assessed by a variety of measures. In seeking to enhance performance by managing mental workload and stress, it is important for measures to be anchored to meaningful criteria.
Fairclough, Stephen H +26 more
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Analysis and Preprocessing of HRV—Kubios HRV Software
2017Lipponen Jukka +2 more
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