Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pedro Narváez"'
Autor:
Pedro Narváez, Winston S. Percybrooks
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 7003 (2020)
Currently, there are many works in the literature focused on the analysis of heart sounds, specifically on the development of intelligent systems for the classification of normal and abnormal heart sounds. However, the available heart sound databases
Externí odkaz:
https://doaj.org/article/6c0d52fe59c847f2b79bffae708fa37e
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4791 (2020)
A system for the automatic classification of cardiac sounds can be of great help for doctors in the diagnosis of cardiac diseases. Generally speaking, the main stages of such systems are (i) the pre-processing of the heart sound signal, (ii) the segm
Externí odkaz:
https://doaj.org/article/9babfccd0d81415c94344250fff7625a
Publikováno v:
International Journal of Interdisciplinary Telecommunications and Networking. 11:44-56
Occupational hygiene requires evaluation of different risk sources in the workplace. The level of physical workload may create stress, fatigue and injuries. Therefore, activity monitoring provides valuable information for companies in assessing and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf9958ffae5bde247f0c95e13ca4e4e
https://doi.org/10.4018/ijitn.2019010104
https://doi.org/10.4018/ijitn.2019010104
Autor:
Winston S. Percybrooks, Pedro Narváez
Publikováno v:
Applied Sciences
Volume 10
Issue 19
Applied Sciences, Vol 10, Iss 7003, p 7003 (2020)
Volume 10
Issue 19
Applied Sciences, Vol 10, Iss 7003, p 7003 (2020)
Currently, there are many works in the literature focused on the analysis of heart sounds, specifically on the development of intelligent systems for the classification of normal and abnormal heart sounds. However, the available heart sound databases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d14802763aa8b9cca27c27aa7812ffbb
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 1
Sensors
Volume 20
Issue 1
In this work, authors address workload computation combining human activity recognition and heart rate measurements to establish a scalable framework for health at work and fitness-related applications. The proposed architecture consists of two weara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f3302d0c101f6274e5f8e1d18c00c9
http://europepmc.org/articles/PMC6982756
http://europepmc.org/articles/PMC6982756
Publikováno v:
Applied Sciences
Volume 10
Issue 14
Applied Sciences, Vol 10, Iss 4791, p 4791 (2020)
Volume 10
Issue 14
Applied Sciences, Vol 10, Iss 4791, p 4791 (2020)
A system for the automatic classification of cardiac sounds can be of great help for doctors in the diagnosis of cardiac diseases. Generally speaking, the main stages of such systems are (i) the pre-processing of the heart sound signal, (ii) the segm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35920034f22f9bd9331c165fd6a90111
https://doi.org/10.3390/app10144791
https://doi.org/10.3390/app10144791
Publikováno v:
2017 IEEE Colombian Conference on Communications and Computing (COLCOM).
This article presents a method that uses Linear Prediction Coefficients (LPC) and Mel-Frequency Cepstral Coefficients (MFCC) as features to classify normal and abnormal cardiac sounds. Three different feature vectors were tested: LPC-only, MFCC-only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7897aa73b03e7c42eade36c9d2d2678
https://doi.org/10.1109/colcomcon.2017.8088215
https://doi.org/10.1109/colcomcon.2017.8088215