Pattern Analysis of Oxygen Saturation Variability in Healthy Individuals: Entropy of Pulse Oximetry Signals Carries Information about Mean Oxygen Saturation

Bhogal, Amar S.; Mani, Ali R.

doi:10.3389/fphys.2017.00555

Cited by 60 publications

(70 citation statements)

References 42 publications

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“…Costa et al extended the concept of entropy by incorporating multiple scales calculation of SampEn in a time-series (9). Such multiscale entropy method has been used to measure the complexity of different physiological time-series such as HRV and oxygen saturation variability (21). In present study, HRC was defined as the summation of entropies of scales from 1 to 20 as described (16).…”

Section: Kurtosismentioning

confidence: 99%

Which heart rate variability index is an independent predictor of mortality in cirrhosis?

Bhogal

Rui

Pavanello

et al. 2019

Digestive and Liver Disease

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Background: Liver cirrhosis is associated with reduced heart rate variability (HRV), which indicates impaired integrity of cardiovascular control in this patient population. There are several different indices for HRV quantification. The present study was designed to: 1) determine which of the HRV indices is best at predicting mortality in patients with cirrhosis; 2) verify if such ability to predict mortality is independent of the severity of hepatic failure. Methods: Ten minutes electrocardiogram was recorded in 74 patients with cirrhosis. Heart rate fluctuations were quantified using statistical, geometrical and non-linear analysis. The patients were followed-up for 18 months and information was collected on the occurrence of death/liver transplantation. Results: During the follow-up period, 24 patients (32%) died or were transplanted for hepatic decompensation. Cox's regression analysis showed that SDNN (total HRV), cSDNN (corrected SDNN), SD1 (short-term HRV), SD2 (long-terms HRV) and spectral indices could predict survival in these patients. However, only SD2 and cSDNN were shown to be independent of MELD in predicting survival. The prognostic value of HRV indices was independent of age, gender, use of beta blockers, and the aetiology of liver disease. Conclusion: Two HRV indices were identified that could predict mortality in patients with cirrhosis, independently of MELD. These indices are potentially useful tools for survival prediction.

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Section: Kurtosismentioning

confidence: 99%

Which heart rate variability index is an independent predictor of mortality in cirrhosis?

Bhogal

Rui

Pavanello

et al. 2019

Digestive and Liver Disease

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“…Therefore, in this work, we used Multiscale Entropy (MSE) for the feature extraction method of SpO2 and PR signals to analyze the feature vectors of three human emotions. This method is an extension of sample entropy and has been used by some researchers to describe complexity in a time series [9][10] [11][12] [13]. The purpose of complexity in this context can be defined as "a meaningful structural richness" which incorporates correlation over several temporal scales [9].…”

Section: Introductionmentioning

confidence: 99%

Multi-scale Entropy and Multiclass Fisher’s Linear Discriminant for Emotion Recognition Based on Multimodal Signal

Hakim

Kristanto

Khoirunnisaa

et al. 2020

KINETIK

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Emotion recognition has been special topics which are frequently discussed by researchers and practitioners in the past decade. SpO2 and Pulse rate signals are two of the limited physiological signals used in a study of emotion recognition. In this study, both of the physiological signals were utilized for emotion recognition in elders by using a combination of two feature extraction methods. Multiscale Entropy was used for feature extraction of signals and then reduced dimension of the feature vector by using Multiclass Fisher’s Linear Discriminant Analysis. The dimensional reduction process was grouped into three experimental schemes, namely a dimensional reduction by using only SpO2 signal, the second scheme by using pulse rate signal and the third scheme by multimodal signals (a combination of SpO2 and Pulse rate signals). The three schemes were then classified into three emotion classes (happy, sad and angry emotions) using Support Vector Machine and Linear Discriminant Analysis Methods. The Classification used Support Vector Machine with an input feature of the third scheme showed an optimal performance with an accuracy score of 95.24%. This result showed better accuracy than previous works.

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“…Day-to-day SpO 2 fluctuations have not yet received a lot of attention in scientific literature and night-to-night fluctuations have not yet been studied over more than two nights in patients with COPD. Some studies examined intraday fluctuations, however, these studies only examined short-term SpO 2 fluctuations (ie, measurements of one hour or less) in healthy individuals [29] or infants [26-28]. Our results showed that significant SpO 2 fluctuations occurred between and within multiple days and nights for the included patients.…”

Section: Discussionmentioning

confidence: 69%

“…One hour of daytime measurements was considered sufficient to examine whether significant fluctuations occurred in SpO 2 values during the day. Previous studies examining intraday fluctuations only examined measurements of one hour or less [26-29]. No days or nights had to be excluded due to lacking SenseWear Armband measurements.…”

Section: Methodsmentioning

confidence: 99%

Wearable Finger Pulse Oximetry for Continuous Oxygen Saturation Measurements During Daily Home Routines of Patients With Chronic Obstructive Pulmonary Disease (COPD) Over One Week: Observational Study

Buekers¹,

Theunis²,

Boever³

et al. 2019

JMIR Mhealth Uhealth

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Background Chronic obstructive pulmonary disease (COPD) patients can suffer from low blood oxygen concentrations. Peripheral blood oxygen saturation (SpO 2 ), as assessed by pulse oximetry, is commonly measured during the day using a spot check, or continuously during one or two nights to estimate nocturnal desaturation. Sampling at this frequency may overlook natural fluctuations in SpO 2 . Objective This study used wearable finger pulse oximeters to continuously measure SpO 2 during daily home routines of COPD patients and assess natural SpO 2 fluctuations. Methods A total of 20 COPD patients wore a WristOx 2 pulse oximeter for 1 week to collect continuous SpO 2 measurements. A SenseWear Armband simultaneously collected actigraphy measurements to provide contextual information. SpO 2 time series were preprocessed and data quality was assessed afterward. Mean SpO 2 , SpO 2 SD, and cumulative time spent with SpO 2 below 90% (CT90) were calculated for every (1) day, (2) day in rest, and (3) night to assess SpO 2 fluctuations. Results A high percentage of valid SpO 2 data (daytime: 93.27%; nocturnal: 99.31%) could be obtained during a 7-day monitoring period, except during moderate-to-vigorous physical activity (MVPA) (67.86%). Mean nocturnal SpO 2 (89.9%, SD 3.4) was lower than mean daytime SpO 2 in rest (92.1%, SD 2.9; P <.001). On average, SpO 2 in rest ranged over 10.8% (SD 4.4) within one day. Highly varying CT90 values between different nights led to 50% (10/20) of the included patients changing categories between desaturator and nondesaturator over the course of 1 week. Conclusions Continuous SpO 2 measurements with wearable finger pulse oximeters identified significant SpO 2 fluctuations between and within multiple days and nights of patients with COPD. Continuous SpO 2 measurements during daily home routines of patients with COPD generally had high amounts of valid data, except for motion artifacts during MVPA. The identified fluctuations can have implications for telemonitoring applications that are based on daily SpO 2 spot checks. CT90 values can vary greatly from night to night in patients with a nocturnal mean SpO 2 around 90%, indicating that these patients cannot be consistently categorized as desaturators or nondesaturators. We recommend using wearable sensors for continuous SpO 2 meas...

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Pattern Analysis of Oxygen Saturation Variability in Healthy Individuals: Entropy of Pulse Oximetry Signals Carries Information about Mean Oxygen Saturation

Cited by 60 publications

References 42 publications

Which heart rate variability index is an independent predictor of mortality in cirrhosis?

Which heart rate variability index is an independent predictor of mortality in cirrhosis?

Multi-scale Entropy and Multiclass Fisher’s Linear Discriminant for Emotion Recognition Based on Multimodal Signal

Wearable Finger Pulse Oximetry for Continuous Oxygen Saturation Measurements During Daily Home Routines of Patients With Chronic Obstructive Pulmonary Disease (COPD) Over One Week: Observational Study

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