Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Taiyu Zhu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract In hybrid automatic insulin delivery (HAID) systems, meal disturbance is compensated by feedforward control, which requires the announcement of the meal by the patient with type 1 diabetes (DM1) to achieve the desired glycemic control perfor
Externí odkaz:
https://doaj.org/article/1e52e62a9cab43aeb2710fb50d5417b1
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-11 (2022)
Abstract People living with type 1 diabetes (T1D) require lifelong self-management to maintain glucose levels in a safe range. Failure to do so can lead to adverse glycemic events with short and long-term complications. Continuous glucose monitoring
Externí odkaz:
https://doaj.org/article/493ae9dbef0c4d8785e966ec9a470a00
Publikováno v:
IEEE Access, Vol 10, Pp 91897-91905 (2022)
The computer system of the traditional storage architecture has many bottlenecks in massive data transmission, analysis, processing, etc., especially the frequent data migration or copying problem between memory and external storage, which is the mos
Externí odkaz:
https://doaj.org/article/0b2c94d23fc746588f3c475dd9d66243
Publikováno v:
Sensors, Vol 20, Iss 18, p 5058 (2020)
(1) Background: People living with type 1 diabetes (T1D) require self-management to maintain blood glucose (BG) levels in a therapeutic range through the delivery of exogenous insulin. However, due to the various variability, uncertainty and complex
Externí odkaz:
https://doaj.org/article/546bb939041d4f16a70582d2ec97d35b
Publikováno v:
IEEE Internet of Things Journal. 10:3706-3719
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba90b6ac4e86d2bd02176077aa321b76
https://doi.org/10.1109/jiot.2022.3143375
https://doi.org/10.1109/jiot.2022.3143375
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db6d00b64f94eab7da2662d35792027d
https://doi.org/10.1109/jbhi.2023.3271615
https://doi.org/10.1109/jbhi.2023.3271615
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:2744-2757
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people worldwide. Aiming to improve the treatment of people with diabetes, digital health has been widely adopted in recent years and generated a huge amount of data that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39675fecab914196275479044b7ec91a
https://doi.org/10.1109/jbhi.2020.3040225
https://doi.org/10.1109/jbhi.2020.3040225
Publikováno v:
IEEE transactions on bio-medical engineering.
The availability of large amounts of data from continuous glucose monitoring (CGM), together with the latest advances in deep learning techniques, have opened the door to a new paradigm of algorithm design for personalized blood glucose (BG) predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51c37e8624207dbdbd3ff60070370381
https://pubmed.ncbi.nlm.nih.gov/35776825
https://pubmed.ncbi.nlm.nih.gov/35776825
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:1223-1232
People with Type 1 diabetes (T1D) require regular exogenous infusion of insulin to maintain their blood glucose concentration in a therapeutically adequate target range. Although the artificial pancreas and continuous glucose monitoring have been pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e82a7146f134e1d12b520435f8c06ae8
https://doi.org/10.1109/jbhi.2020.3014556
https://doi.org/10.1109/jbhi.2020.3014556