J Clin Monit Comput - Heart rate variability indices for very short-term (30 beat) analysis. Part 2: validation.

Tópicos

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Resumo

Heart rate variability (HRV) analysis over shorter periods may be useful for monitoring dynamic changes in autonomic nervous system activity where steady-state conditions are not maintained (e.g. during drug administration, or the start or end of exercise). This study undertakes a validation of 70 HRV indices that have previously been identified as possible for short-term use. The indices were validated over 10??30 beat windows using PhysioNet databases with physiological states of rest, active, exercising, sleeping, and meditating (N from 12 to 20). Baseline 95?% confidence intervals of the median were established with bootstrap resampling (10,000x). Statistical significance was assessed using the overlap of 95?% confidence intervals. Thirty-one indices could differentiate between resting and at least one physiological state using 30 beat windows. All respiratory sinus arrhythmia indices and Poincar? plot indices were strongly correlated to time domain measures (SDNN or RMSSD). Spectral indices using the Lomb-Scargle algorithm were able to correctly identify paradoxical shifts in power with meditation and reduced power in exercise. Some less-known indices gave interesting results: PolVar20 identified the higher sympathetic activity of exercise with the largest positive magnitude. These indices should now be considered for rigorous gold standard tests with pharmacological blockade.

Resumo Limpo

heart rate variabl hrv analysi shorter period may use monitor dynam chang autonom nervous system activ steadyst condit maintain eg drug administr start end exercis studi undertak valid hrv indic previous identifi possibl shortterm use indic valid beat window use physionet databas physiolog state rest activ exercis sleep medit n baselin confid interv median establish bootstrap resampl x statist signific assess use overlap confid interv thirtyon indic differenti rest least one physiolog state use beat window respiratori sinus arrhythmia indic poincar plot indic strong correl time domain measur sdnn rmssd spectral indic use lombscargl algorithm abl correct identifi paradox shift power medit reduc power exercis lessknown indic gave interest result polvar identifi higher sympathet activ exercis largest posit magnitud indic now consid rigor gold standard test pharmacolog blockad

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