Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Yao-Chiang Kan"'
Publikováno v:
Sensors, Vol 22, Iss 2, p 689 (2022)
We established a web-based ubiquitous health management (UHM) system, “ECG4UHM”, for processing ECG signals with AI-enabled models to recognize hybrid arrhythmia patterns, including atrial premature atrial complex (APC), atrial fibrillation (AFib
Externí odkaz:
https://doaj.org/article/0ca9f46d5330415cbe5e316760508cf1
Publikováno v:
Sensors, Vol 21, Iss 14, p 4761 (2021)
Ubiquitous health management (UHM) is vital in the aging society. The UHM services with artificial intelligence of things (AIoT) can assist home-isolated healthcare in tracking rehabilitation exercises for clinical diagnosis. This study combined a pe
Externí odkaz:
https://doaj.org/article/4a8e6b91c4734852a5dde82f77e70911
Publikováno v:
Sensors, Vol 15, Iss 1, Pp 2181-2204 (2015)
This paper proposes a model for recognizing motions performed during rehabilitation exercises for frozen shoulder conditions. The model consists of wearable wireless sensor network (WSN) inertial sensor nodes, which were developed for this study, and
Externí odkaz:
https://doaj.org/article/0a7fd065a7934f389349f93cdd925efc
Publikováno v:
Sensors, Vol 19, Iss 7, p 1679 (2019)
The physical therapeutic application needs personalized rehabilitation recognition (PRR) for ubiquitous healthcare measurements (UHMs). This study employed the adaptive neuro-fuzzy inference system (ANFIS) to generate a PRR model for a self-developme
Externí odkaz:
https://doaj.org/article/4b2d43274e3c4d5189c492f285820b71
Publikováno v:
Sensors, Vol 16, Iss 12, p 2053 (2016)
Ubiquitous health care (UHC) is beneficial for patients to ensure they complete therapeutic exercises by self-management at home. We designed a fuzzy computing model that enables recognizing assigned movements in UHC with privacy. The movements are m
Externí odkaz:
https://doaj.org/article/df90a363e03848ffbe70ccfe1a478d87
Publikováno v:
Computers, Materials & Continua; 2024, Vol. 79 Issue 3, p3783-3803, 21p
Publikováno v:
ICCE-TW
A full measurement system for automotive radar at 77GHz is presented in this study. Radar applications require particularly outstanding quiet-zone performance for its measurement uncertainty and calibration, especially at millimeter wave (mmWave) fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34b1d0a2193be3af33cf13cd4ea8f921
https://doi.org/10.1109/icce-tw52618.2021.9603159
https://doi.org/10.1109/icce-tw52618.2021.9603159
Influencing Factor Considerations for Designing a High-Performance Compact Antenna Test Range (CATR)
Publikováno v:
ICCE-TW
Compact antenna test range (CATR) is popularly used to produce a plane-wave like field-distribution in a small designated quiet zone to resemble the actual far-field scenario in electromagnetic (EM) related measurement. The quiet zone’s performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db6fb5a91ef85e54c4fff818e0302ad3
https://doi.org/10.1109/icce-tw52618.2021.9602939
https://doi.org/10.1109/icce-tw52618.2021.9602939
BACKGROUND Ubiquitous health management (UHM) services are getting used to working with intelligent medical technology. People expect to track their daily electrocardiogram (ECG) signals at home with AI-enabled computing for assessing arrhythmias, su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8c9c065d9407624b2a160dd0c653e5
https://doi.org/10.2196/preprints.32719
https://doi.org/10.2196/preprints.32719
Publikováno v:
Proceedings of Engineering and Technology Innovation, Vol 14 (2020)
This study applied the Adaptive Neuro-Fuzzy Inference System (ANFIS) to design a recognition model of personalized rehabilitation. In the model, the user may take a wearable sensor and follow the assigned joint-relax exercise to measure the motions o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::928863bccab193d119a5456a1d480adf
http://ojs.imeti.org/index.php/PETI/article/view/3912
http://ojs.imeti.org/index.php/PETI/article/view/3912