Adaptive Filtering by Non-Invasive Vital Signals Monitoring and Diseases Diagnosis

Abdallah, Omar; Bolz, A.

doi:10.5772/16838

Cited by 8 publications

(6 citation statements)

References 19 publications

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“…Unfortunately, the PPG signal is highly sensitive to noise-corruption, especially due to motion (Allen 2007, Kamal et al 1989, Abdallah and Bolz 2011. Cardiovascular parameters derived from noise-corrupted data are unreliable and could lead to inaccurate diagnoses.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the signal quality of wrist-based photoplethysmography

2019

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Objective: Wearable devices with embedded photoplethysmography (PPG) sensors enable continuous monitoring of cardiovascular activity, allowing for the detection cardiovascular problems, such as arrhythmias. However, the quality of wrist-based PPG is highly variable, and is subject to artifacts from motion and other interferences. The goal of this paper is to evaluate the signal quality obtained from wrist-based PPG when used in an ambulatory setting. Approach: Ambulatory data were collected over a 24-hour period for 10 elderly, and 16 non-elderly participants. Visual assessment is used as the gold standard for PPG signal quality, with interrater agreement evaluated using Fleiss' Kappa. With this gold standard, 5 classifiers were evaluated using a modified 13-fold cross-validation approach. Main results: A Random Forest quality classification algorithm showed the best performance, with an accuracy of 74.5%, and was then used to evaluate 24-hour long ambulatory wrist-based PPG measurements. Significance: In general, data quality was high at night, and low during the day. Our results suggest wrist-based PPG may be best for continuous cardiovascular monitoring applications during the night, but less useful during the day unless methods can be identified to improve low quality signal segments.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the signal quality of wrist-based photoplethysmography

2019

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“…Changes in local blood volume therefore alter the intensity of light reaching the photodetector. [3] [4] [5] PPG sensors can be constructed to operate in either transmission mode or reflection mode, based on the configuration of the light source and the photodetector, as seen in Figure 2.1. In the transmission mode configuration, the light source and the photodetector are located opposite to one another, with the tissue placed between them.…”

Section: Organization Of Thesismentioning

confidence: 99%

“…Reflection mode is preferred for thicker tissues, such as wrists. [3] [4] [5] PPG waveforms consist of both a varying 'AC', and a large, consistent 'DC' component, illustrated in Figure 2.2. The DC component accounts for the majority of the attenuation, which is due to the absorption of light by the skin, bone, venous blood, and other tissues.…”

Section: Organization Of Thesismentioning

confidence: 99%

“…Hence, the AC component can be used to determine a subject's pulse rate. [3] [4] [5] The attenuation of light involves complex interactions with the tissue consisting of scattering, absorption and reflection. These have been shown to vary according The AC component is due to the differences in local blood volume following systole, relative to diastole.…”

Section: Organization Of Thesismentioning

confidence: 99%

“…Spectral power: Using the Welch method of spectral density estimation with a window length of 1024 samples and 50% overlap, the spectral power at frequencies of 1,3,5,7,9,13,17,21,25, and 29Hz were used as features for each segment.…”

Section: Direct Signal Statisticsmentioning

confidence: 99%

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Evaluation of the Signal Quality of Wrist-Based Photoplethysmography

Pradhan¹

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Detection of paroxysmal atrial fibrillation requires continuous cardiovascular monitoring due to its episodic nature. Such monitoring is impractical with electrocardiogram Holter monitors, which are the currently employed for ambulatory cardiovascular monitoring, but are cumbersome for prolonged use. This thesis studies monitoring using photoplethysmography (PPG) devices, which may be embedded into wristband devices which can be easily worn continuously. However, the quality of wrist-based PPG is highly variable, and is subject to artifacts from motion and other interferences.The goal of this thesis is to evaluate the signal quality obtained from wrist-based PPG when used in an ambulatory setting. Ambulatory data is collected over a 24-hour period for 10 elderly, and 16 non-elderly participants. Visual assessment is used as the gold standard for PPG signal quality, with Fleiss's Kappa being used to evaluate the agreement between raters. With this gold standard, 5 classifiers are evaluated using a modified 13-fold cross-validation approach. Based on this evaluation, a Random Forest quality classification algorithm is selected, with an accuracy of 74.5%. The algorithm is used to evaluate the ambulatory use of wrist-based PPG over a 24-hour period. Overall, it is found that data quality is high at night, and low during the day.

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