Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Carlos Hoyos-Barcelo"'
Autor:
Jesus Monge-Alvarez, Carlos Hoyos-Barcelo, Luis M. San-José-Revuelta, Pablo Casaseca-de-la-Higuera
Publikováno v:
IEEE Transactions on Biomedical Engineering. 66:2319-2330
Cough is a protective reflex conveying information on the state of the respiratory system. Cough assessment has been limited so far to subjective measurement tools or uncomfortable (i.e., non-wearable) cough monitors. This limits the potential of rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f2a1efd824f1b1c11c0106d2a2a5246
https://doi.org/10.1109/tbme.2018.2888998
https://doi.org/10.1109/tbme.2018.2888998
Autor:
Carlos Hoyos-Barcelo, Pablo Casaseca-de-la-Higuera, Zeeshan Pervez, Luis M. San-José-Revuelta, Jesus Monge-Alvarez
Publikováno v:
Computers in Biology and Medicine. 100:176-185
Health Monitoring apps for smartphones have the potential to improve quality of life and decrease the cost of health services. However, they have failed to live up to expectation in the context of respiratory disease. This is in part due to poor obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0740027e7de5cde705fad48b5fae2ef
https://doi.org/10.1016/j.compbiomed.2018.07.003
https://doi.org/10.1016/j.compbiomed.2018.07.003
Publikováno v:
Applied Acoustics. 135:124-135
Cough detection has recently been identified as of paramount importance to fully exploit the potential of telemedicine in respiratory conditions and release some of the economic burden of respiratory care in national health systems. Current audio-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bba805b7e328016e6aeb6289458e959c
https://doi.org/10.1016/j.apacoust.2018.02.001
https://doi.org/10.1016/j.apacoust.2018.02.001
Autor:
Pablo Casaseca-de-la-Higuera, Jesus Monge-Alvarez, José Ramón Garmendia-Leiza, Carlos Hoyos-Barcelo, María Dolores Aguilar-García, Diego Asay Pérez-Alonso, Carlos Alberola-López
Publikováno v:
IFMBE Proceedings ISBN: 9783030316341
This paper presents SmartCough, an M-health app for Android smartphones that monitors cough trends in patients with respiratory diseases. The app is designed to be battery-efficient, fast, and robust against noise. It relies on efficiently-implemente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::452ae4cf6dcc40b829fcda6504402d49
https://doi.org/10.1007/978-3-030-31635-8_142
https://doi.org/10.1007/978-3-030-31635-8_142
Autor:
Chunbo Luo, Qi Wang, Xinheng Wang, Susana Merino-Caviedes, Pablo Casaseca-de-la-Higuera, Zhi Wang, Carlos Hoyos-Barcelo, Antonio Tristán-Vega
Publikováno v:
Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2018.
This work was funded by the Royal Society of Edinburgh and National Science Foundation of China within the international project “Flood Detection and Monitoring using Hyperspectral Remote Sensing from Unmanned Aerial Vehicles” (project NNS/INT 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56938cc145085151cb66b60f6075a2dc
https://doi.org/10.1117/12.2325645
https://doi.org/10.1117/12.2325645
Publikováno v:
IEEE journal of biomedical and health informatics. 23(1)
Telehealth has shown potential to improve access to healthcare cost-effectively in respiratory illness. However, it has failed to live up to expectation, in part because of poor objective measures of symptoms such as cough events, which could lead to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f66bfb132f798fe79ed5b3428969e3d9
https://pubmed.ncbi.nlm.nih.gov/29994432
https://pubmed.ncbi.nlm.nih.gov/29994432
Autor:
Carlos Hoyos-Barcelo, Jesus Monge-Alvarez, Jose-Maria Alcaraz-Calero, Pablo Casaseca-de-la-Higuera, Muhammad Zeeshan Shakir
Publikováno v:
IEEE journal of biomedical and health informatics. 22(5)
The potential of telemedicine in respiratory health care has not been completely unveiled in part due to the inexistence of reliable objective measurements of symptoms such as cough. Currently available cough detectors are uncomfortable and expensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43e91eba2dbbc8d4ac3d1dfa33904d20
https://pubmed.ncbi.nlm.nih.gov/29990219
https://pubmed.ncbi.nlm.nih.gov/29990219
Autor:
Keshav Dahal, Carlos Hoyos-Barcelo, Paul Lesso, Pablo Casaseca-de-la-Higuera, Jesus Monge-Alvarez, Javier Escudero
Publikováno v:
Javier Escudero
ResearcherID
EMBC
University of Edinburgh-PURE
Monge-Álvarez, J, Hoyos-Barcelo, C, Escudero, J, Lesso, P, Dahal, K & Casaseca-de-la-Higuera, P 2016, Effect of Importance Sampling on Robust Segmentation of Audio-cough events in Noisy Environments . in Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society . pp. 3740-3744, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, United States, 16/08/16 .
ResearcherID
EMBC
University of Edinburgh-PURE
Monge-Álvarez, J, Hoyos-Barcelo, C, Escudero, J, Lesso, P, Dahal, K & Casaseca-de-la-Higuera, P 2016, Effect of Importance Sampling on Robust Segmentation of Audio-cough events in Noisy Environments . in Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society . pp. 3740-3744, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, United States, 16/08/16 .
This paper proposes a new cough detection system based on audio signals acquired from conventional smartphones. The system relies on local Hu moments to characterize cough events and a k-NN classifier to distinguish cough events from non-cough ones (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a48ce091ba4c515578620f734f990bf
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000399823504024&KeyUID=WOS:000399823504024
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000399823504024&KeyUID=WOS:000399823504024