심박변이에 대한 평가방법
Assessing Methods of Heart Rate Variability
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초록
Heart rate variability is significantly associated with cardiovascular complications in various neurological disorderswith cardiac impairment. Measures of spontaneous heart rate variability might be different from provocating tests ofheart rate variability such as deep breathing and Valsava maneuver. Methods for analysis are divided into time domainmethods and frequency domain methods. There are standard deviation of NN interval, standard deviation of average NNinterval, root mean square of the successive differences, NN50, and pNN50 in time domain methods. Frequency domainbands can be divided into very low, low, and high frequency. Each variables are influenced by sympathetic and/or parasympatheticactivity.
Abstract
Heart rate variability is significantly associated with cardiovascular complications in various neurological disorderswith cardiac impairment. Measures of spontaneous heart rate variability might be different from provocating tests ofheart rate variability such as deep breathing and Valsava maneuver. Methods for analysis are divided into time domainmethods and frequency domain methods. There are standard deviation of NN interval, standard deviation of average NNinterval, root mean square of the successive differences, NN50, and pNN50 in time domain methods. Frequency domainbands can be divided into very low, low, and high frequency. Each variables are influenced by sympathetic and/or parasympatheticactivity.
참고문헌 (17)
- "Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology", Eur Heart J, 17, pp.354~381 (1996)
- Rajendra Acharya U, "Heart rate variability: a review", Med Biol Eng Comput, 44, pp.1031~1051 (2006)
- Vaseghi M, "The role of the autonomic nervous system in sudden cardiac death", Prog Cardiovasc Dis, 50, pp.404~419 (2008)
- Metelka R, "Heart rate variability - current diagnosis of the cardiac autonomic neuropathy. A review", Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub, 158, pp.327~338 (2014)
- Mancia G, "Early diagnosis of diabetic autonomic neuropathy: present and future approaches", Diabetologia, 40, pp.482~484 (1997)
- Hon EH, "Electronic Evaluation of the Fetal Heart Rate. Viii. Patterns Preceding Fetal Death, Further Observations", Am J Obstet Gynecol, 87, pp.814~826 (1963)
- Sayers BM, "Analysis of heart rate variability", Ergonomics, 16, pp.17~32 (1973)
- Ewing DJ, "The value of cardiovascular autonomic function tests: 10 years experience in diabetes", Diabetes Care, 8, pp.491~498 (1985)
- Wolf MM, "Sinus arrhythmia in acute myocardial infarction", Med J Aust, 2, pp.52~53 (1978)
- Akselrod S, "Power spectrum analysis of heart rate fluctuation:a quantitative probe of beat-to-beat cardiovascular control", Science, 213, pp.220~222 (1981)
- Bilchick KC, "Heart rate variability", J Cardiovasc Electrophysiol, 17, pp.691~694 (2006)
- Nolan J, "Prospective study of heart rate variability and mortality in chronic heart failure: results of the United Kingdom heart failure evaluation and assessment of risk trial (UK-heart)", Circulation, 98, pp.1510~1516 (1998)
- DeGiorgio CM, "RMSSD, a measure of vagus-mediated heart rate variability, is associated with risk factors for SUDEP: the SUDEP-7 Inventory", Epilepsy Behav, 19, pp.78~81 (2010)
- Dash S, "Automatic real time detection of atrial fibrillation", Ann Biomed Eng, 37, pp.1701~1709 (2009)
- Ewing DJ, "Twenty four hour heart rate variability: effects of posture, sleep, and time of day in healthy controls and comparison with bedside tests of autonomic function in diabetic patients", Br Heart J, 65, pp.239~244 (1991)
- Campos LA, "Mathematical biomarkers for the autonomic regulation of cardiovascular system", Front Physiol, 4, pp.279~ (2013)
- Bigger JT, "The ability of several short-term measures of RR variability to predict mortality after myocardial infarction", Circulation, 88, pp.927~934 (1993)
