Blockwise PPG Enhancement Based on Time-Variant Zero-Phase Harmonic Notch Filtering

Park, Chanki; Shin, Hyunsoon; Lee, Boreom

doi:10.3390/s17040860

Cited by 23 publications

(15 citation statements)

References 31 publications

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“…Adaptive noise cancellation (ANC) using accelerationbased adaptive filters has been investigated [40,[70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86]. Identification of the optimal design usually requires a priori knowledge of certain statistical parameters (such as the mean and correlation functions) within the useful signal.…”

Section: Motion Artefactsmentioning

confidence: 99%

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Current progress of photoplethysmography and SPO2 for health monitoring

Tamura¹

2019

Biomed. Eng. Lett.

182

133

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A photoplethysmograph (PPG) is a simple medical device for monitoring blood flow and transportation of substances in the blood. It consists of a light source and a photodetector for measuring transmitted and reflected light signals. Clinically, PPGs are used to monitor the pulse rate, oxygen saturation, blood pressure, and blood vessel stiffness. Wearable unobtrusive PPG monitors are commercially available. Here, we review the principle issues and clinical applications of PPG for monitoring oxygen saturation.

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Section: Motion Artefactsmentioning

confidence: 99%

“…Many adaptive techniques have been applied to reduce motion artefacts in PPG signals, including the normal least mean squares (NLMS) method [75][76][77], recursive least squares (RLS) method [78], time-varying step-size control (TVS-LMS) [79][80][81], adaptive step-size LMS (AS-LMS) [80], and Laguerre series [83][84][85][86][87].…”

Section: Motion Artefactsmentioning

confidence: 99%

Current progress of photoplethysmography and SPO2 for health monitoring

Tamura¹

2019

Biomed. Eng. Lett.

182

133

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“…Because the signal obtained by CCS is not equi-spaced data, conventional signal processing techniques cannot be applied; therefore, covariance filtering is proposed instead of digital filtering. Covariance filtering can be implemented by forward-backward filtering [18]. Although HR and RR can be estimated by analyzing the frequency of the reconstructed covariance, frequency analysis such as using the Fourier transform is inefficient to trace HR and RR.…”

Section: Discussionmentioning

confidence: 99%

“…However, most discrete-time signal processing techniques are not applicable to CCS, because not only does the CCS not satisfy the Nyquist condition but also the samples are not uniformly spaced. To solve this problem, we exploit the relation between the covariance of the filtered signal y and input signal x [17] as follows: As shown in (4), the covariance of the filtered signal can be calculated by forward-backward filtering of the reconstructed covariance [18]. In this study, a Butterworth filter was employed to enhance the HR and RR.…”

Section: Covariance Filteringmentioning

confidence: 99%

Energy-Efficient Photoplethysmogram Compression to Estimate Heart and Respiratory Rates Simultaneously

Park

Lee

2019

IEEE Access

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A photoplethysmogram (PPG) sensor has been broadly used for smart watches and bands because it is easy to measure and contains many health information, such as heart rate (HR) and respiratory rate (RR). Because the PPG sensor blinks an LED at sampling instants, the rate for sampling and LED flashing should be reduced to extend the battery life. To reduce the rate, we employed two different compressive covariance sensing (CCS) techniques and applied them to HR and RR estimation. The CCS cannot recover a signal itself but reconstructs its covariance. We designed a signal processing technique to extract HR and RR from the reconstructed covariance. The estimation performance was evaluated by using the open-source data and the experimental data, and the power consumption of a wrist-type PPG sensor with respect to the compression ratio was evaluated. The proposed method acquired the covariance of the PPG with an average sampling rate of 1.79 Hz below the Nyquist rate for HR (10 Hz), and it significantly reduced the energy consumption for the PPG sampling. Moreover, its estimation accuracy was sufficient to be used for a wearable healthcare system. As a result, the proposed method showed that HR and RR can be estimated with an ultra-low-power PPG sensor. INDEX TERMS Compressed sensing, health information and management, energy efficiency, photoplethysmogram. The associate editor coordinating the review of this manuscript and approving it for publication was Sabah Mohammed.

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“…Although the potential value of the PPG signal is well known 16 , 17 , it is difficult to acquire authentic and rich PPG signals and to extract subtle characteristics that signify problems such as difference in body tissue 18 , 19 , disturbance of motion 20–23 , control of the acquisition process 24 , 25 , etc. This is worth more research and exploration 26 .…”

Section: Methodsmentioning

confidence: 99%

A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China

Liang

Chen

Liu³

et al. 2018

Sci Data

151

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Open clinical trial data provide a valuable opportunity for researchers worldwide to assess new hypotheses, validate published results, and collaborate for scientific advances in medical research. Here, we present a health dataset for the non-invasive detection of cardiovascular disease (CVD), containing 657 data segments from 219 subjects. The dataset covers an age range of 20–89 years and records of diseases including hypertension and diabetes. Data acquisition was carried out under the control of standard experimental conditions and specifications. This dataset can be used to carry out the study of photoplethysmograph (PPG) signal quality evaluation and to explore the intrinsic relationship between the PPG waveform and cardiovascular disease to discover and evaluate latent characteristic information contained in PPG signals. These data can also be used to study early and noninvasive screening of common CVD such as hypertension and other related CVD diseases such as diabetes.

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Blockwise PPG Enhancement Based on Time-Variant Zero-Phase Harmonic Notch Filtering

Cited by 23 publications

References 31 publications

Current progress of photoplethysmography and SPO2 for health monitoring

Current progress of photoplethysmography and SPO2 for health monitoring

Energy-Efficient Photoplethysmogram Compression to Estimate Heart and Respiratory Rates Simultaneously

A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China

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