A prototype of the mobile stethoscope for telemedical application

Kajor, Marcin; Grochala, Dominik; Iwaniec, Marek; Kańtoch, Eliasz; Kucharski, Dariusz

doi:10.1109/memstech.2018.8365690

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…Taking into consideration both the efficiency of calculations and the performance in terms of a signal analysis, there is still a place to find a classifier which combines fast execution and robust feature extraction. In the future, we are planning to integrate the presented algorithm with our own hardware prototype [5] and start a pilot research to create a dedicated heart sound database. This will allow us to extend the training sets and verify the model generalization on new signal examples.…”

Section: Discussionmentioning

confidence: 99%

Combining Spectral Analysis with Artificial Intelligence in Heart Sound Study

Kucharski¹,

Kajor²,

Grochala³

et al. 2019

Adv. Sci. Technol. Res. J.

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The auscultation technique has been widely used in medicine as a screening examination for ages. Nowadays, advanced electronics and effective computational methods aim to support the healthcare sector by providing dedicated solutions which help physicians and support diagnostic process. In this paper, we propose a machine learning approach for the analysis of heart sounds. We used the spectral analysis of acoustic signal to calculate feature vectors and tested a set of machine learning approaches to provide the most effective detection of cardiac disorders. Finally, we achieved 91% of sensitivity and 99% of positive predictivity for a designed algorithm based on convolutional neural network.

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Section: Discussionmentioning

confidence: 99%

Combining Spectral Analysis with Artificial Intelligence in Heart Sound Study

Kucharski¹,

Kajor²,

Grochala³

et al. 2019

Adv. Sci. Technol. Res. J.

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“…They can also give rise to a new family of commercial techniques that optimize 3D-based technologies for 3D printing in a fully functional clinical solution. It should also be mentioned that computer aided methods are used in various fields of medicine, such as in cardiology, dentistry, but also in the field of telemedicine applications [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Design and manufacture of artificial organs made of polymers

et al. 2019

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New technologies such as 3D printing and reverse engineering are becoming increasingly popular, including in medical applications. The paper presents possible ways to use 3D printing in the area of increasing the level of medical training specialists in their daily clinical practice and in the selection of the appropriate scenario before a real surgical operation. Descriptions of the projects carried out with the surgeons aimed at achieving the aforementioned goals were presented. The presented concepts are relatively new solutions, but their further development may lead to the extension of the field of application of these techniques in medicine, among others in relation to other specialties.

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Prototype Design of An IoT Enabled Cost-Efficient Portable Heart-Health Data Acquisition System

Maity

Misra

2020

2020 IEEE Calcutta Conference (CALCON)

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A prototype of the mobile stethoscope for telemedical application

Cited by 6 publications

References 11 publications

Combining Spectral Analysis with Artificial Intelligence in Heart Sound Study

Combining Spectral Analysis with Artificial Intelligence in Heart Sound Study

Design and manufacture of artificial organs made of polymers

Prototype Design of An IoT Enabled Cost-Efficient Portable Heart-Health Data Acquisition System

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