scholarly journals Extraction of Heart Rate Variability from Smartphone Photoplethysmograms

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Rong-Chao Peng ◽  
Xiao-Lin Zhou ◽  
Wan-Hua Lin ◽  
Yuan-Ting Zhang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Autonomic Function ◽  
Clinical Tool ◽  
Nonlinear Parameters ◽  
First Derivative ◽  
Peak Point ◽  
Characteristic Points ◽  
Highly Correlated ◽  
Good Agreement

Heart rate variability (HRV) is a useful clinical tool for autonomic function assessment and cardiovascular diseases diagnosis. It is traditionally calculated from a dedicated medical electrocardiograph (ECG). In this paper, we demonstrate that HRV can also be extracted from photoplethysmograms (PPG) obtained by the camera of a smartphone. Sixteen HRV parameters, including time-domain, frequency-domain, and nonlinear parameters, were calculated from PPG captured by a smartphone for 30 healthy subjects and were compared with those derived from ECG. The statistical results showed that 14 parameters (AVNN, SDNN, CV, RMSSD, SDSD, TP, VLF, LF, HF, LF/HF, nLF, nHF, SD1, and SD2) from PPG were highly correlated (r>0.7,P<0.001) with those from ECG, and 7 parameters (AVNN, TP, VLF, LF, HF, nLF, and nHF) from PPG were in good agreement with those from ECG within the acceptable limits. In addition, five different algorithms to detect the characteristic points of PPG wave were also investigated: peak point (PP), valley point (VP), maximum first derivative (M1D), maximum second derivative (M2D), and tangent intersection (TI). The results showed that M2D and TI algorithms had the best performance. These results suggest that the smartphone might be used for HRV measurement.

scholarly journals Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Cody E. Dunn ◽  
Derek C. Monroe ◽  
Christian Crouzet ◽  
James W. Hicks ◽  
Bernard Choi
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Gold Standard ◽  
Cardiovascular Health ◽  
Autonomic Function ◽  
Signal Amplitude ◽  
Health And Wellness ◽  
Orthostatic Challenge ◽  
Highly Correlated ◽  
Insight Into

Abstract Heart rate variability (HRV) provides insight into cardiovascular health and autonomic function. Electrocardiography (ECG) provides gold standard HRV measurements but is inconvenient for continuous acquisition when monitored from the extremities. Optical techniques such as photoplethysmography (PPG), often found in health and wellness trackers for heart rate measurements, have been used to estimate HRV peripherally but decline in accuracy during increased physical stress. Speckleplethysmography (SPG) is a recently introduced optical technique that provides benefits over PPG, such as increased signal amplitude and reduced susceptibility to temperature-induced vasoconstriction. In this research, we compare SPG and PPG to ECG for estimation of HRV during an orthostatic challenge performed by 17 subjects. We find that SPG estimations of HRV are highly correlated to ECG HRV for both time and frequency domain parameters and provide increased accuracy over PPG estimations of HRV. The results suggest SPG measurements are a viable alternative for HRV estimation when ECG measurements are impractical.

The use of heart rate turbulence and heart rate variability in the assessment of autonomic regulation and circadian rhythm in patients with systemic lupus erythematosus without apparent heart disease

Lupus ◽  
2017 ◽  
Vol 27 (3) ◽  
pp. 436-444 ◽  
Author(s):  
A R Poliwczak ◽  
E Waszczykowska ◽  
B Dziankowska-Bartkowiak ◽  
M Koziróg ◽  
K Dworniak
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Lupus Erythematosus ◽  
High Frequency ◽  
Autonomic Function ◽  
Disease Duration ◽  
Control Group ◽  
Systemic Lupus ◽  
Heart Rate Turbulence

Background Systemic lupus erythematosus is a progressive autoimmune disease. There are reports suggesting that patients even without overt signs of cardiovascular complications have impaired autonomic function. The aim of this study was to assess autonomic function using heart rate turbulence and heart rate variability parameters indicated in 24-hour ECG Holter monitoring. Methods Twenty-six women with systemic lupus erythematosus and 30 healthy women were included. Twenty-four hour ambulatory ECG-Holter was performed in home conditions. The basic parameters of heart rate turbulence and heart rate variability were calculated. The analyses were performed for the entire day and separately for daytime activity and night time rest. Results There were no statistically significant differences in the basic anthropometric parameters. The mean duration of disease was 11.52 ± 7.42. There was a statistically significant higher turbulence onset (To) value in patients with systemic lupus erythematosus, median To = –0.17% (minimum –1.47, maximum 3.0) versus To = –1.36% (minimum –4.53, maximum –0.41), P < 0.001. There were no such differences for turbulence slope (Ts). In the 24-hour analysis almost all heart rate variability parameters were significantly lower in the systemic lupus erythematosus group than in the healthy controls, including SDANN and r-MSSD and p50NN. Concerning the morning activity and night resting periods, the results were similar as for the whole day. In the control group, higher values in morning activity were noted for parameters that characterise sympathetic activity, especially SDANN, and were significantly lower for parasympathetic parameters, including r-MSSD and p50NN, which prevailed at night. There were no statistically significant changes for systemic lupus erythematosus patients for p50NN and low and very low frequency. There was a positive correlation between disease duration and SDNN, R = 0.417; P < 0.05 and SDANN, R = 0.464; P < 0.05, a negative correlation between low/high frequency ratio and r-MSSD, R = –0.454; P < 0.05; p50NN, R = –0.435; P < 0.05 and high frequency, R = –0.478; P < 0.05. In contrast, there was no statistically significant correlation between heart rate turbulence and other variables evaluated, including disease duration and the type of autoantibodies. Conclusion: Our study confirms the presence of autonomic disorders with respect to both heart rate variability and heart rate turbulence parameters and the presence of diurnal disturbances of sympathetic–parasympathetic balance. Further studies are required.

scholarly journals Effects of Metformin Added to Insulin in Adolescents with Type 1 Diabetes: An Exploratory Crossover Randomized Trial

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Daizhi Yang ◽  
Jinhua Yan ◽  
Hongrong Deng ◽  
Xubin Yang ◽  
Sihui Luo ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Type 1 Diabetes ◽  
Insulin Sensitivity ◽  
Body Mass ◽  
Autonomic Function ◽  
Insulin Dose ◽  
Glucose Variability

Background. To comprehensively assess the effects of metformin added to insulin on metabolic control, insulin sensitivity, and cardiovascular autonomic function in adolescents with type 1 diabetes. Materials and Methods. This was an exploratory, crossover, randomized trial conducted in adolescents with type 1 diabetes aged 12-18 years old. Participants were randomly received metformin (≤1000 mg/d) added to insulin for 24 weeks followed by insulin monotherapy for a subsequent 24 weeks or vice versa. Blood pressure, body mass index, insulin dose, estimated insulin sensitivity, glycated hemoglobin A1c (HbA1c), and lipid profiles were measured, with a 72-hour continuous glucose monitoring and 24-hour Holter monitoring performed at baseline, 24, and 50 weeks for the assessments of glucose variability and heart rate variability. Results. Seventeen patients with mean ± SD age 14.4 ± 2.3   years , body mass index 18.17 ± 1.81   kg / m 2 , median (IQR) diabetes duration 4.50 (3.58, 6.92) years, and HbA1c 9.0% (8.5%, 9.4%) were enrolled. The between-group difference in HbA1c of 0.28% (95% CI -0.39 to 0.95%) was not significant ( P = 0.40 ). Changes in body mass index, insulin dose, blood pressure, lipid profiles, and estimated insulin sensitivity were similar for metformin add-on vs. insulin monotherapy. Glucose variability also did not differ. Compared with insulin monotherapy, metformin add-on significantly increased multiple heart rate variability parameters. Conclusions. Metformin added to insulin did not improve metabolic control or glucose variability in lean/normal-weight adolescents with type 1 diabetes. However, metformin added to insulin significantly increased heart rate variability, suggesting that metformin might improve cardiovascular autonomic function in this population.

Autonomic function assessment using analysis of heart rate variability

1997 ◽  
Vol 5 (12) ◽  
pp. 1731-1737 ◽  
Author(s):  
R.A. Bates ◽  
M.F. Hilton ◽  
K.R Godfrey ◽  
M.J. Chappell
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Autonomic Function ◽  
Function Assessment
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