Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Etto L. Salomons"'
Autor:
Etto L. Salomons, Paul J. M. Havinga
Publikováno v:
Sensors, Vol 15, Iss 4, Pp 7462-7498 (2015)
Wireless sensor networks are suitable to gain context awareness for indoor environments. As sound waves form a rich source of context information, equipping the nodes with microphones can be of great benefit. The algorithms to extract features from s
Externí odkaz:
https://doaj.org/article/31c14a75ce7346618d2b9f966ebd5c75
Publikováno v:
Sensors, Vol 16, Iss 10, p 1586 (2016)
A wireless sensor network that consists of nodes with a sound sensor can be used to obtain context awareness in home environments. However, the limited processing power of wireless nodes offers a challenge when extracting features from the signal, an
Externí odkaz:
https://doaj.org/article/88f6436fe7ed4133a8e43d96acf7fac6
Autor:
H. J. Bieleman, Remko Soer, Egbert Siebrand, Michiel F. Reneman, Etto L. Salomons, Frits G. J. Oosterveld, Steven Dorrestijn, Douglas P. Gross, Marianne W. M. C. Six Dijkstra
Publikováno v:
Journal of Occupational Rehabilitation
PurposeComputer algorithms and Machine Learning (ML) will be integrated into clinical decision support within occupational health care. This will change the interaction between health care professionals and their clients, with unknown consequences. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee5bc446ee93ee9ffffd37d37d0b342a
https://doi.org/10.1007/s10926-020-09895-x
https://doi.org/10.1007/s10926-020-09895-x
Intramuscular EMG versus Surface EMG of Lumbar Multifidus and Erector Spinae in Healthy Participants
Autor:
Etto L. Salomons, Anke Hofste, Remko Soer, Gerbrand J. Groen, Jan Peuscher, Hermie J. Hermens, Frits G. J. Oosterveld, Han van der Hoeven, André Wolff
Publikováno v:
SPINE, 45(20). LIPPINCOTT WILLIAMS & WILKINS
Spine, 45(20), E1319-E1325. Lippincot, Williams & Wilkins
Spine, 45(20), E1319-E1325. Lippincot, Williams & Wilkins
Study Design: Cross-sectional design. Objective: The aim of this study was to investigate the correlation between intramuscular EMG (iEMG) and surface EMG (sEMG) from lumbar multifidus and erector spinae muscles during (submaximal) voluntary contract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7bdfb7c28675bb40349990cf76518ee
https://doi.org/10.1097/brs.0000000000003624
https://doi.org/10.1097/brs.0000000000003624
Autor:
Paul J.M. Havinga, Etto L. Salomons
Publikováno v:
Sensors, Vol 15, Iss 4, Pp 7462-7498 (2015)
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 4
Pages 7462-7498
Sensors (Switzerland), 15(4), 7462-7498. MDPI
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 4
Pages 7462-7498
Sensors (Switzerland), 15(4), 7462-7498. MDPI
Wireless sensor networks are suitable to gain context awareness for indoor environments. As sound waves form a rich source of context information, equipping the nodes with microphones can be of great benefit. The algorithms to extract features from s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7327d50a8092697bb7840f679df64bf0
http://www.mdpi.com/1424-8220/15/4/7462
http://www.mdpi.com/1424-8220/15/4/7462
Publikováno v:
2016 IEEE Sensors-Proceedings
A wireless sensor network equipped with microphones can be used for context awareness by classifying sound events in the target environment. This classification will become less accurate when more than one sound can be heard at the same time. We cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcddba45fb3bcd2aafe0775d93f65837
https://research.utwente.nl/en/publications/3aaefc4f-bdce-47ea-af9f-52b8a46e3660
https://research.utwente.nl/en/publications/3aaefc4f-bdce-47ea-af9f-52b8a46e3660
Publikováno v:
Sensors; Volume 16; Issue 10; Pages: 1586
Sensors (Basel, Switzerland)
Sensors (Switzerland), 16(10):1586. MDPI
Sensors, Vol 16, Iss 10, p 1586 (2016)
Sensors (Basel, Switzerland)
Sensors (Switzerland), 16(10):1586. MDPI
Sensors, Vol 16, Iss 10, p 1586 (2016)
A wireless sensor network that consists of nodes with a sound sensor can be used to obtain context awareness in home environments. However, the limited processing power of wireless nodes offers a challenge when extracting features from the signal, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76563815196b796acda400e00b03dc2e
Publikováno v:
Proceedings-8th International Conference on Intelligent Environments, IE 2012, 355-358
STARTPAGE=355;ENDPAGE=358;TITLE=Proceedings-8th International Conference on Intelligent Environments, IE 2012
Intelligent Environments
STARTPAGE=355;ENDPAGE=358;TITLE=Proceedings-8th International Conference on Intelligent Environments, IE 2012
Intelligent Environments
In this paper Etto Salomons presents his vision of the GoGreen project on a smart home that is capable of decreasing energy consumption while at the same time increasing user comfort. To identify the main challenges he introduces a general model for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a60ec6ec39abde0dbaec358038a3597
https://doi.org/10.1109/ie.2012.23
https://doi.org/10.1109/ie.2012.23