A Wavelet Packets Approach to Electrocardiograph Baseline Drift Cancellation

Tinati, Mohammad Ali; Mozaffary, Behzad

doi:10.1155/ijbi/2006/97157

Cited by 46 publications

(23 citation statements)

References 15 publications

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“…Thus, a baseline wander free PPG signal is identified. For threshold level selection, normalized energy of the signal in every scale is calculated and checked if value of energy is 0.1% of the total energy of the signal or not, till reaching the last scale [8].…”

Section: Preprocessingmentioning

confidence: 99%

Developement of Classification Indices for Diseases using Photo Plethysmography

More¹,

Choudhari²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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Abstract. Photo plethysmography (PPG) is used to estimate the blood flow using light. Researchers from different domains of science have been working with PPG because of its advantages as non-invasive, inexpensive, and convenient diagnostic tool. Traditionally, it has been used to measure the oxygen saturation, blood pressure and for assessing autonomic functions. Recent studies emphasize the potential information embedded in the PPG waveform signal and require attention for its possible applications beyond pulse oximetry and heart-rate calculation. The current systems based on photo plethysmography signal are used mainly for heart rate and SPO2 measurement. There is always a need for non-ohmic method, which can give idea about the blood circulation quickly and easily. The proposed system would be based on the principle of photo plethysmography, which is non-invasive in nature, thus making the entire diagnosis process simpler and less traumatic to the patients during emergencies or otherwise. It can also serve as a bedside monitoring device to monitor the various vital parameters by obtaining photo plethysmogram waveform for subjects with different ailments to desciminate the diseases.

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Section: Preprocessingmentioning

confidence: 99%

Developement of Classification Indices for Diseases using Photo Plethysmography

More¹,

Choudhari²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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“…From this, new techniques allowed for the application of WT to a signal using recursive-filtering banks. Recently, WT has become the most widely applied tool in signal processing in many different fields such as voice recognition [27,28], noise reduction [29,30], electrocardiographs [31], and radio-frequency interference mitigation [32], amongst others.…”

Section: The Wavelet Transformmentioning

confidence: 99%

Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors

2016

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Wavelet transform (WT) has been used in the diagnosis of cracked rotors since the 1990s. At present, WT is one of the most commonly used tools to treat signals in several fields. Understandably, this has been an area of extensive scientific research, which is why this paper aims to summarize briefly the major advances in the field since 2008. The present review considers advances in the use and application of WT, the selection of the parameters used, and the key achievements in using WT for crack diagnosis.

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“…It has quite a few possible sources-for example, interfering background signals or electrode polarization (Gu, Meng, Cook, & Faulkner, 2001). An approach based on a wavelet transform was used to remove baseline drift (Tinati & Mozaffary, 2006). To do so, using Daubechies wavelets, an approximated multilevel one-dimensional wavelet decomposition at Level 12 was performed on each EOG signal component.…”

Section: Eye Movements Analysismentioning

confidence: 99%

Qualitative modeling of the decision-making process using electrooculography

Marandi

Sabzpoushan

2014

Behav Res

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A novel method based on electrooculography (EOG) has been introduced in this work to study the decision-making process. An experiment was designed and implemented wherein subjects were asked to choose between two items from the same category that were presented within a limited time. The EOG and voice signals of the subjects were recorded during the experiment. A calibration task was performed to map the EOG signals to their corresponding gaze positions on the screen by using an artificial neural network. To analyze the data, 16 parameters were extracted from the response time and EOG signals of the subjects. Evaluation and comparison of the parameters, together with subjects' choices, revealed functional information. On the basis of this information, subjects switched their eye gazes between items about three times on average. We also found, according to statistical hypothesis testing-that is, a t test, t(10) = 71.62, SE = 1.25, p < .0001-that the correspondence rate of a subjects' gaze at the moment of selection with the selected item was significant. Ultimately, on the basis of these results, we propose a qualitative choice model for the decision-making task.Keywords Decision making . Eye movements . Electrooculography . Neuromarketing Decision making can be regarded as a cognitive process of the evaluation and selection of a course of action from among various alternatives, through which a final choice is produced.Developing novel technologies for research on human behavior during complex cognitive processes such as decision making is drawing more attention nowadays.Among other novel technologies, eyetracking techniques have been developed over recent decades as a window into people's visual and cognitive processes. Eyetracking techniques have been applied to realms of behavior research such as image scanning (e.g

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A Wavelet Packets Approach to Electrocardiograph Baseline Drift Cancellation

Cited by 46 publications

References 15 publications

Developement of Classification Indices for Diseases using Photo Plethysmography

Developement of Classification Indices for Diseases using Photo Plethysmography

Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors

Qualitative modeling of the decision-making process using electrooculography

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