Heart Rate Variability: Short‐Term Studies are as Useful as Holter to Differentiate Diabetic Patients from Healthy Subjects

Migliaro, Eduardo R.; Canetti, Rafael; Contreras, Paola; Hakas, Michel

doi:10.1046/j.1542-474x.2003.08409.x

Cited by 25 publications

(23 citation statements)

References 29 publications

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“…19) This study measured the 24-hour HRV of workers and evaluated the relationship in time and frequency domain variables, such as SDNN, HF, LF, and LF/HF ratio, between 24-hour and 5-minute assessments of the HRV. These variables were widely used to evaluate cardiac autonomic function 1,4,[9][10][11]13,14,16) and reflected vagal tone of the SA node or sympathetic and parasympathetic nervous systems. 19) We found modest correlations in the time-(R = 0.614-0.668) and frequency-(R = 0.508-0.817) domain spectra between the 24-hour and 5-minute HRV.…”

Section: Discussionmentioning

confidence: 99%

“…9) Conversely, short-term measurements offer more practical advantages, including easy application in a clinical setting and a simplified data process, although short-term recording depends on the test conditions because the subjects are in a controlled environment. 10) Several studies have demonstrated that the 5-minute HRV, versus a 24-hour measurement, is a strong indicator of cardiac events in the normal population and patients, [11][12][13][14] and many have focused on predicting or evaluating the accuracy and reproducibility of measuring the 5-minute HRV. 15,16) Although we agree that the 5-minute HRV has good reproducibility and is more practical for application, it is not known whether a 5-minute assessment can replace the variation in the overall heart rate for monitoring and screening the ANS of workers.…”

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confidence: 99%

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Is 5-Minute Heart Rate Variability a Useful Measure for Monitoring the Autonomic Nervous System of Workers?

Min

Paek

et al. 2008

Int. Heart J.

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SUMMARYHeart rate variability (HRV) is a noninvasive physiological marker used to assess autonomic nervous function and can be recorded over the short or long term. Long-term recording is a good method for assessing mortality and patient prognosis, while short-term measurement is widely used due to practical advantages and reproducibility. However, little is known about whether a short-term assessment reflects the variation in the overall heart rate of workers. This study evaluated the relationship between the 24-hour and 5-minute HRV, which was selected from a 24-hour recording. The study population was 153 male workers at the National Rail Company in Korea, who had their heart rates assessed for 24 hours. In the time and frequency domains, the correlations of the HRV between 24 hours and 5 minutes were calculated for the entire time and limited times (09:00-17:00). We found modest correlations in the time (R = 0.614-0.668) and frequency (R = 0.508-0.817) domains, but the best correlation was for the high-frequency spectra (HF; R = 0.817). Our findings suggest that the short-term HRV remains stable and may be applicable for screening the variation in the heart rate of workers, although not all of the correlations were sufficiently strong. (Int Heart J 2008; 49: 175-181) Key words: Cardiac autonomic function, Heart rate variability, Short-term, Long term, Workers HEART rate variability (HRV) is a physiological maker used to assess the autonomic nervous system (ANS) and is significantly associated with a variety of pathologies, such as cardiovascular disease and diabetes mellitus. [1][2][3][4][5][6] The HRV can be assessed over the short (usually 5-15 minutes) or long (24 hours) term. Long-term measurements reflect the overall change in the heart rate under nonspecific, changing conditions because the subjects perform their usual daily activities during the test. The long-term method has been used to assess mortality and the adverse prognosis of patients on bed rest. 7,8) This analysis is difficult and notFrom the

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Is 5-Minute Heart Rate Variability a Useful Measure for Monitoring the Autonomic Nervous System of Workers?

Min

Paek

et al. 2008

Int. Heart J.

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“…To increase the prosthetic functions, a large number of nerves must be selectively activated, which in turn may cause complicated implantation and maintenance of a large number of electrodes. Conventional prostheses exclusively activate nerves confined around the electrode, and thereby the performance largely depends on the location and configuration of the electrode array [6]- [11]. In these neural prostheses, therefore, precise and selective nerve activation with limited number and density of electrodes would be ideal.…”

Section: Selective Activation Of Distant Nerve By Surface Electrode Amentioning

confidence: 99%

“…Besides of applications of time domain analysis of HRV based on 24-h recordings, such as prediction of cardiac disease and mortality [2]- [4], HRV analysis from short-term recordings is becoming a powerful tool for the prediction of several diseases (mortality prediction after myocardial infarction [5], studies on diabetic patients [6], assessment of training status in athletes [7], or assessment of psychological stress [8]). Among the whole proposed time-domain indices, the most recurrently calculated are the mean (RR mean ), the standard deviation (SDRR), and the standard deviation of the differentiation (r-msDD) of the RR time series.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Uncertainty in Time Domain Indices of RR Time Series

García-González

Fernández-Chimeno

Ramos‐Castro

2007

IEEE Trans. Biomed. Eng.

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of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters," IEEE Trans. Rehabil. Eng., vol. 6, no. 3, pp. 316-325, Sep. 1998 Estimation of the Uncertainty in Time Domain Indices of RR Time SeriesMiguel A. García-González*, Mireya Fernández-Chimeno, and J. Ramos-CastroAbstract-A method for estimating the uncertainty in time-domain indices of RR time series is described. The method relies on the central limit theorem that states that the distribution of a sample average of independent samples has an uncertainty that asymptotically approaches to the sample standard deviation divided by the square root of the number of samples. Because RR time series cannot be characterized by a set of independent samples, we propose to estimate the uncertainty of indices by computing them in blocks that satisfy that the obtained partial indices are independent. We propose a methodology to search sets of independent partial indices and apply this methodology to the estimation of the uncertainty in the mean RR, SDRR, and r-msDD indices. The results show that the uncertainty can be higher than the 10% of the index for the SDRR and even higher for the r-msDD. Moreover, a statistical test for the difference of two indices is proposed.

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“…Today, HRV is most often evaluated by means of electrocardiographic (ECG) recordings and R-R interval measurements during sessions of vaJdous duration, from a few minutes or even seconds to several hours (BIKKINA et al, 1998;DE BRUYNE et al, 1999;HAMILTON et at., 2004;MIGLIARO and CONTRERAS, 2003;MOLGAARD et at. 1991;SCHROEDER et al, 2004;THONG et al, 2003) However, as short-term HRV analysis has attracted increasing interest among researchers, a more user-friendly system for HRV analysis and cardiac health estimation is needed.…”

Section: Introductionmentioning

confidence: 99%

Design and evaluation of a handheld impedance plethysmograph for measuring heart rate variability

Kristiansen

Fleischer

Jensen

et al. 2005

Med. Biol. Eng. Comput.

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Heart rate variability (HRV) analysis from 10s ECGs has been shown to be reliable. However, the short examination time warrants a user-friendly system that can be used for ad-hoc examinations without normal preparation, unlike ECG. A handheld device has been developed that can measure ultra-short HRV from impedance plethysmographic recordings of the pulse wave in distal superficial arteries. The prototype device was made user-friendly through a compact, pen-like design and the use of integrated metal electrodes that were especially designed for dry operation. The main signal processing was performed by a digital signal processor, where the discrete heart beats were detected using a correlation algorithm that could adapt to individual pulse wave shapes to account for biological variation. The novel device was evaluated in 20 mainly young volunteers, using 10 s time-correlated ECG recordings as the reference method. Agreement between the two methods in measuring heart rate and root mean square of successive differences in the heart beat interval (RMSSD) was analysed using correlation coefficients (Pearson's R2), mean differences with 95% confidence intervals and 95% limits of agreement, and Bland-Altman plots. The correlation between the two methods was R2 = 1.00 and R2 = 0.99 when heart rate and RMSSD were measured, respectively. The Bland-Altman plots showed suitable agreement between the novel device and standard 10 s ECGs, which was substantiated by 95% limits of agreement of the difference of +/- 0.1 beats min(-1) and approximately +/- 10 ms for heart rate and RMSSD, respectively. Therefore the evaluation showed no significant systematic error of the novel device compared with ECG.

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Heart Rate Variability: Short‐Term Studies are as Useful as Holter to Differentiate Diabetic Patients from Healthy Subjects

Abstract: We conclude that short-term studies are at least as powerful as Holter to differentiate the diabetic group (impaired HRV) from the control group.

Cited by 25 publications

References 29 publications

Is 5-Minute Heart Rate Variability a Useful Measure for Monitoring the Autonomic Nervous System of Workers?

Is 5-Minute Heart Rate Variability a Useful Measure for Monitoring the Autonomic Nervous System of Workers?

Estimation of the Uncertainty in Time Domain Indices of RR Time Series

Design and evaluation of a handheld impedance plethysmograph for measuring heart rate variability

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