Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Ming–Xia Xiao"'
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
Moxibustion is a treatment in traditional Chinese medicine that can promote human health. In order to study the effect of moxibustion on cardiovascular function, photoplethysmogram signals were obtained from acupoints at st 36 (zusanli), sp 6 (sanyin
Externí odkaz:
https://doaj.org/article/29d9b55b8d274c619a1447a2a5043635
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
Abstract To investigate the value of decomposed short-time digital volume pulse (DVP) signals in discerning systemic vascular anomaly in diabetic patients, demographic and anthropometric parameters, serum lipid profile, fasting blood glucose and glyc
Externí odkaz:
https://doaj.org/article/867a69e896aa44edbbccf0a240b642f0
Publikováno v:
Complexity, Vol 2019 (2019)
This study investigated the validity of a novel parameter, percussion entropy index (PEI), for assessing baroreflex sensitivity. PEI was acquired through comparing the similarity in tendency of change between the amplitudes of successive digital volu
Externí odkaz:
https://doaj.org/article/eae24751daf2471e8ce159f6439acbc6
Publikováno v:
Entropy, Vol 22, Iss 7, p 754 (2020)
Diabetic peripheral neuropathy (DPN) is a very common neurological disorder in diabetic patients. This study presents a new percussion-based index for predicting DPN by decomposing digital volume pulse (DVP) signals from the fingertip. In this study,
Externí odkaz:
https://doaj.org/article/87ba11f7195548e4b9ebace61a681f1d
Autor:
Hai-Cheng Wei, Na Ta, Wen-Rui Hu, Sheng-Ying Wang, Ming-Xia Xiao, Xiao-Jing Tang, Jian-Jung Chen, Hsien-Tsai Wu
Publikováno v:
Diagnostics, Vol 10, Iss 1, p 32 (2020)
Diabetic peripheral neuropathy (DPN) is one of the most common chronic complications of diabetes. It has become an essential public health crisis, especially for care in the home. Synchronized electrocardiogram (ECG) and photoplethysmography (PPG) si
Externí odkaz:
https://doaj.org/article/3a57149950e34ac6ba45231beee77032
Publikováno v:
Biocybernetics and Biomedical Engineering. 41:1140-1149
This study was designed to evaluate the clinical applications of body mass index (BMI) and a percussion-entropy-based index (PEINEW) for predicting the development of diabetic peripheral neuropathy (DPN) in a group of type 2 diabetes mellitus (DM) pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da3b973f0fc25a7286ee7949e1a690db
https://doi.org/10.1016/j.bbe.2021.08.001
https://doi.org/10.1016/j.bbe.2021.08.001
Publikováno v:
Journal of Real-Time Image Processing. 18:2319-2329
To meet the needs of embedded intelligent forest fire monitoring systems using an unmanned aerial vehicles (UAV), a deep learning fire recognition algorithm based on model compression and lightweight requirements is proposed in this study. The algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a5da8102022d7d2dbe9c833731dea4
https://doi.org/10.1007/s11554-021-01124-9
https://doi.org/10.1007/s11554-021-01124-9
Publikováno v:
Entropy, Vol 21, Iss 9, p 894 (2019)
The percussion entropy index (PEIorginal) was recently introduced to assess the complexity of baroreflex sensitivity. This study aimed to investigate the ability of a speedy modified PEI (i.e., PEINEW) application to distinguish among age-controlled
Externí odkaz:
https://doaj.org/article/1dd6d0a46de14810bed095e40c581785
Publikováno v:
Signal, Image and Video Processing. 15:913-921
Optic disc (OD) and optic cup (OC) regional parameters are of utmost importance in the early diagnosis of glaucoma. Improving the accuracy of OD/OC segmentation results and parameter extraction in colour fundus images plays a very important role in e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2e50443d86a0a0b44943cc2a5d84e77
https://doi.org/10.1007/s11760-020-01815-z
https://doi.org/10.1007/s11760-020-01815-z
Publikováno v:
Entropy, Vol 20, Iss 7, p 497 (2018)
The present study aimed at testing the hypothesis that application of multiscale cross-approximate entropy (MCAE) analysis in the study of nonlinear coupling behavior of two synchronized time series of different natures [i.e., R-R interval (RRI) and
Externí odkaz:
https://doaj.org/article/32770026b94f48e5b895ce68452b3dd1