Baseline Drift Filtering for an Arterial Pulse Signal

Fedotov, A. A.

doi:10.1007/s11018-014-0413-4

Cited by 16 publications

(5 citation statements)

References 4 publications

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“…The zero-phase difference between the raw signal and the filtered signal was ensured by applying a filter operation in the forward and backward directions (zero-phase shift filter operation). Further, the baseline drift of the PPG waveforms caused by body movement and respiration was removed using a wandering removal process (Fedotov et al 2014). Finally, cycle cutting was performed to separate each beat from the signal train and to collate the corresponding proximal and distal cardiac cycle pairs.…”

Section: Software Architecture and Signal Processingmentioning

confidence: 99%

Single-source PPG-based local pulse wave velocity measurement: a potential cuffless blood pressure estimation technique

2017

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Section: Software Architecture and Signal Processingmentioning

confidence: 99%

Single-source PPG-based local pulse wave velocity measurement: a potential cuffless blood pressure estimation technique

2017

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“…While SRVI signals were evaluated for each color channel, the red channel was used for all subsequent analyses, as the signals from each channel capture similar information. Specifically, the refraction indices are close to each other; e.g., 1.405 and 1.386 at 460 and 630 nm, respectively [119], which results in 2.83% vs. Baseline wander is due to low-frequency artifacts not of interest to the analysis, and it may include a primary contribution from respiration in addition to other factors [120]. Baseline wander was removed by subtracting the 1-second moving average [121].…”

Section: Discussionmentioning

confidence: 99%

Remote Physiological Signal Acquisition and Analysis: Contactless Photoplethysmography and Specular Reflection Vascular Imaging

Burton

2024

Preprint

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In this thesis, I describe the remote acquisition of physiological signals using contactless remote photoplethysmography (rPPG), and the novel specular reflection vascular imaging (SRVI). rPPG is a contactless extension of reflection photoplethysmography, which captures the variations in skin optical properties due to changes in the primary light absorber in blood - hemoglobin. I used rPPG (embodied in a consumer smartphone) to investigate various physiological phenomena, including ischemia, Mayer waves, venous outflow, and characteristics of glabrous vs. non-glabrous skin. Despite its value, photoplethysmography is limited by sensitivity to melanin concentration, and therefore has performance limitations in acquisition from subjects with darker skin tones. To address this limitation, SRVI was proposed to leverage specular reflection for acquisition of skin displacements caused by mechanical pulsations in blood vessels. SRVI is insensitive to melanin concentration since acquisition is restricted to the very surface of the skin. SRVI was capable of capturing carotid artery and jugular vein waveforms.

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“…Baseline wander is due to low-frequency artifacts not of interest to the analysis, and it may include a primary contribution from respiration in addition to other factors [31]. Baseline wander was removed by subtracting the 1 s moving average [32].…”

Section: Discussionmentioning

confidence: 99%

Towards Development of Specular Reflection Vascular Imaging

Burton

Saiko

Douplik

2022

Sensors

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Specular reflection from tissue is typically considered as undesirable, and managed through device design. However, we believe that specular reflection is an untapped light-tissue interaction, which can be used for imaging subcutaneous blood flow. To illustrate the concept of subcutaneous blood flow visualization using specular reflection from the skin, we have developed a ray tracing for the neck and identified conditions under which useful data can be collected. Based on our model, we have developed a prototype Specular Reflection Vascular Imaging (SRVI) device and demonstrated its feasibility by imaging major neck vessels in a case study. The system consists of a video camera that captures a video from a target area illuminated by a rectangular LED source. We extracted the SRVI signal from 5 × 5 pixels areas (local SRVI signal). The correlations of local SRVIs to the SRVI extracted from all pixels in the target area do not appear to be randomly distributed, but rather form cohesive sub-regions with distinct boundaries. The obtained waveforms were compared with the ECG signal. Based on the time delays with respect to the ECG signal, as well as the waveforms themselves, the sub-regions can be attributed to the jugular vein and carotid artery. The proposed method, SRVI, has the potential to contribute to extraction of the diagnostic information that the jugular venous pulse can provide.

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Baseline Drift Filtering for an Arterial Pulse Signal

Cited by 16 publications

References 4 publications

Single-source PPG-based local pulse wave velocity measurement: a potential cuffless blood pressure estimation technique

Single-source PPG-based local pulse wave velocity measurement: a potential cuffless blood pressure estimation technique

Remote Physiological Signal Acquisition and Analysis: Contactless Photoplethysmography and Specular Reflection Vascular Imaging

Towards Development of Specular Reflection Vascular Imaging

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