A robust method for S1/S2 heart sounds detection without ecg reference based on music beat tracking

Barabasa, Constantin; Jafari, Maria G.; Plumbley, Mark D.

doi:10.1109/isetc.2012.6408110

Cited by 14 publications

(7 citation statements)

References 7 publications

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“…A more recent evaluation of envelope extraction algorithms was reported by Liu et al (2012a) . We tested the use of a novel technique developed and reported by Barabasa, Jafari & Plumbley (2012) that has been proven to be insensitive to performance degradation and noise interference, a potential major issue for wireless sensors and recording during physical activity. This algorithm is also robust with respect to pathological signals such as heart murmurs.…”

Section: Introductionmentioning

confidence: 99%

Wireless laptop-based phonocardiograph and diagnosis

Dao

2015

PeerJ

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Auscultation is used to evaluate heart health, and can indicate when it’s needed to refer a patient to a cardiologist. Advanced phonocardiograph (PCG) signal processing algorithms are developed to assist the physician in the initial diagnosis but they are primarily designed and demonstrated with research quality equipment. Therefore, there is a need to demonstrate the applicability of those techniques with consumer grade instrument. Furthermore, routine monitoring would benefit from a wireless PCG sensor that allows continuous monitoring of cardiac signals of patients in physical activity, e.g., treadmill or weight exercise. In this work, a low-cost portable and wireless healthcare monitoring system based on PCG signal is implemented to validate and evaluate the most advanced algorithms. Off-the-shelf electronics and a notebook PC are used with MATLAB codes to record and analyze PCG signals which are collected with a notebook computer in tethered and wireless mode. Physiological parameters based on the S1 and S2 signals and MATLAB codes are demonstrated. While the prototype is based on MATLAB, the later is not an absolute requirement.

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Section: Introductionmentioning

confidence: 99%

Wireless laptop-based phonocardiograph and diagnosis

Dao

2015

PeerJ

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“…A more recent evaluation of envelope extraction algorithms was reported by Liu in [Liu et al, 2011]. We tested the use of a novel technique developed and reported by Barabasa [Barabasa, Jafari, & Plumbley, 2012] that has been proven to be insensitive to performance degradation and noise interference, a potential major issue for wireless sensors and recording during physical activity. This algorithm is also robust with respect to pathological signals such as heart murmurs.…”

Section: Introductionmentioning

confidence: 99%

Peer Review #2 of "Wireless laptop-based phonocardiograph and diagnosis (v0.1)"

Hedayioglu¹

2015

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Auscultation is used to evaluate heart health and can indicate when it's needed to refer a patient to a cardiologist. Advanced phonocardiograph (PCG) signal processing algorithms are developed to assist the physician in the initial diagnosis but they are primarily designed and demonstrated with research quality equipment. Therefore there is a need to demonstrate the applicability of those techniques with consumer grade instrument. Furthermore, routine monitoring would benefit from a wireless PCG sensor that allows continuous monitoring of cardiac signals of patients in physical activity, e.g., treadmill or weight exercise. In this work, a low-cost portable and wireless healthcare monitoring system based on PCG signal is implemented to validate and evaluate the most advanced algorithms. Off-the-shelf electronics and a notebook PC are used with MATLAB codes to record and analyze PCG signals which are collected with a notebook computer in tethered and wireless mode. Physiological parameters based on the S1 and S2 signals and MATLAB codes are demonstrated. While the prototype is based on MATLAB, the later is not an absolute requirement.

show abstract

“…A more recent evaluation of envelope extraction algorithms was reported by Liu in [Liu et al, 2011]. A novel technique developed and reported by Barabasa [Barabasa, Jafari, & Plumbley, 2012] has been proven to be insensitive to performance degradation and noise interference, a potential major issue for wireless sensors and recording during physical activity. The algorithm is also robust with respect to pathological signals such as heart murmurs.…”

Section: Introductionmentioning

confidence: 99%

Wireless PC-based phonocardiograph and diagnosis

Dao

2014

Preprint

View full text Add to dashboard Cite

Auscultation is used to evaluate heart health and can indicate when it's needed to refer a patient to a cardiologist. Advanced PCG signal processing algorithms are developed to assist the physician in the initial diagnosis but they are primarily designed and demonstrated with research quality equipment. Therefore there is a need to demonstrate the applicability of those techniques with consumer grade instrument. Furthermore, routine monitoring would benefit from a wireless PCG sensor that allows continuous monitoring of cardiac signals of patients in physical activity, e.g., treadmill or weight exercise. In this work, a low-cost portable and wireless healthcare monitoring system based on phonocardiograph signal is implemented to validate and evaluate the most advanced algorithms. Off-the-shelf electronics and a notebook PC are used with MATLAB codes to record and analyze PCG signals which are collected with a notebook computer in tethered and wireless mode. High valued diagnostics based on the S1 and S2 signals and MATLAB codes are demonstrated. While the prototype is based on MATLAB, the later is not an absolute requirement.

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A robust method for S1/S2 heart sounds detection without ecg reference based on music beat tracking

Cited by 14 publications

References 7 publications

Wireless laptop-based phonocardiograph and diagnosis

Wireless laptop-based phonocardiograph and diagnosis

Peer Review #2 of "Wireless laptop-based phonocardiograph and diagnosis (v0.1)"

Wireless PC-based phonocardiograph and diagnosis

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