Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Meng-Hsi Wu"'
Autor:
Meng-Hsi Wu, 吳孟禧
95
Echinacea, also known as the purple coneflower, is a native North American perennial medicinal herb and traditionally used to combat cold, flu, cough, sore throats and many other ailments. Today, echinacea is among the most frequently utilize
Echinacea, also known as the purple coneflower, is a native North American perennial medicinal herb and traditionally used to combat cold, flu, cough, sore throats and many other ailments. Today, echinacea is among the most frequently utilize
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/78254717297859339643
Autor:
Meng-Hsi Wu, 吳孟錫
90
This thesis uses the floating-point DSP TMS320C31 to develop a three-phase overcurrent relay. The response time from fault current sampling to output tripping needs only 40 mS. The range of operation frequency is within 55 to 65 Hz. The tripp
This thesis uses the floating-point DSP TMS320C31 to develop a three-phase overcurrent relay. The response time from fault current sampling to output tripping needs only 40 mS. The range of operation frequency is within 55 to 65 Hz. The tripp
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/44003017885133821742
Publikováno v:
MIPR
We propose an end-to-end model for generic and personalized ECG arrhythmic heartbeat detection on ECG data from both wearable and non-wearable devices. We first develop a deep learning based model to address the challenging problem caused by inter-pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbbda6e45309021ccb23e23eb5c690e1
https://doi.org/10.1109/mipr.2018.00024
https://doi.org/10.1109/mipr.2018.00024
Publikováno v:
MMHealth@MM
The DeepQ tricorder device developed by HTC from 2013 to 2016 was entered in the Qualcomm Tricorder XPRIZE competition and awarded the second prize in April 2017. This paper presents DeepQ»s three modules powered by artificial intelligence: symptom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2dc4b86b6b7c4837f1b1cc8e5a08ba3
https://doi.org/10.1145/3132635.3132637
https://doi.org/10.1145/3132635.3132637
Autor:
Edward Y. Chang, Meng-Hsi Wu
Publikováno v:
MMHealth@MM
DeepQ Arrhythmia Database, the first generally available large-scale dataset for arrhythmia detector evaluation, contains 897 annotated single-lead ECG recordings from 299 unique patients. DeepQ includes beat-by-beat, rhythm episodes, and heartbeats
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5507773a2ee3e4be732dcab95813fff1
https://doi.org/10.1145/3132635.3132647
https://doi.org/10.1145/3132635.3132647
Publikováno v:
EMBC
There are two major challenges to overcome when developing a classifier to perform automatic disease diagnosis. First, the amount of labeled medical data is typically very limited, and a classifier cannot be effectively trained to attain high disease
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43107452297b52193d6a920b9c13a176
https://pubmed.ncbi.nlm.nih.gov/26736361
https://pubmed.ncbi.nlm.nih.gov/26736361
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2015 Aug; Vol. 2015, pp. 711-4.