Zafar Yuldashev - Academia.edu (original) (raw)

Uploads

Papers by Zafar Yuldashev

Research paper thumbnail of Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus (Preprint)

BACKGROUND Personalized blood glucose (BG) prediction for diabetes patients is an important goal ... more BACKGROUND Personalized blood glucose (BG) prediction for diabetes patients is an important goal that is pursued by many researchers worldwide. Despite many proposals, only a few projects are dedicated to the development of complete recommender system infrastructures that incorporate BG prediction algorithms for diabetes patients. The development and implementation of such a system aided by mobile technology is of particular interest to patients with gestational diabetes mellitus (GDM), especially considering the significant importance of quickly achieving adequate BG control for these patients in a short period (ie, during pregnancy) and a typically higher acceptance rate for mobile health (mHealth) solutions for short- to midterm usage. OBJECTIVE This study was conducted with the objective of developing infrastructure comprising data processing algorithms, BG prediction models, and an appropriate mobile app for patients’ electronic record management to guide BG prediction-based pe...

Research paper thumbnail of Health Monitoring System for Patients with Gestational Diabetes Mellitus Based on Nutrition Diaries and Fitness Bracelets

Biomedical Engineering, 2020

Research paper thumbnail of Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus

JMIR mHealth and uHealth, Jan 9, 2018

Personalized blood glucose (BG) prediction for diabetes patients is an important goal that is pur... more Personalized blood glucose (BG) prediction for diabetes patients is an important goal that is pursued by many researchers worldwide. Despite many proposals, only a few projects are dedicated to the development of complete recommender system infrastructures that incorporate BG prediction algorithms for diabetes patients. The development and implementation of such a system aided by mobile technology is of particular interest to patients with gestational diabetes mellitus (GDM), especially considering the significant importance of quickly achieving adequate BG control for these patients in a short period (ie, during pregnancy) and a typically higher acceptance rate for mobile health (mHealth) solutions for short- to midterm usage. This study was conducted with the objective of developing infrastructure comprising data processing algorithms, BG prediction models, and an appropriate mobile app for patients' electronic record management to guide BG prediction-based personalized recomm...

Research paper thumbnail of A Remote Monitoring System for Diabetes Patients

Biomedical Engineering, 2014

Research paper thumbnail of Method and hardware-software complex for assessment of functional state and effectiveness of the portable on-line cardio monitors

Research paper thumbnail of A System for Remote-controlled Intelligent Monitoring of the Health Status in Humans

Biomedical Engineering, 2017

The structure of a system for remote monitoring health status in humans is discussed, consisting ... more The structure of a system for remote monitoring health status in humans is discussed, consisting of a mobile mon itor, mobile device, a server in a healthcare institution, and a family doctor's mobile computer. An algorithm for remote intelligent monitoring of patients, adjusting the operating mode and signal recording channel characteris tics is presented, along with an algorithm for the processing and analysis of diagnostic information when there are changes in the patient's ongoing physiological status from the individual norm.

Research paper thumbnail of System and Algorithm of Intelligent Biomedical Signal Processing and Analysis for Human Health Status Remote Monitoring System

Journal of the Russian Universities. Radioelectronics, 2018

Continuous and steady running of health status remote monitoring systems is essential not to omit... more Continuous and steady running of health status remote monitoring systems is essential not to omit episodes of acute exacerbation of chronic disease. Running time of such systems is largely determined by performance capabilities of the patient's wearable system elements. To ensure its long-term operation and efficient performance, the monitoring system must have multilayered structure with the elements realizing recording and picking off biomedical signals, signal processing and analysis, estimation of patient current condition, dynamics of the disease and its prognosis. For this purpose, it is necessary to use smart monitoring algorithms. A specific feature of such algorithms is change of the number of channels used for biomedical signal recording and processing according to the change of patient’s condition. To detect the exacerbation first symptoms by means of the patient's wearable computer, additional channels are activated for recording biomedical signals used to evalua...

Research paper thumbnail of Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus (Preprint)

BACKGROUND Personalized blood glucose (BG) prediction for diabetes patients is an important goal ... more BACKGROUND Personalized blood glucose (BG) prediction for diabetes patients is an important goal that is pursued by many researchers worldwide. Despite many proposals, only a few projects are dedicated to the development of complete recommender system infrastructures that incorporate BG prediction algorithms for diabetes patients. The development and implementation of such a system aided by mobile technology is of particular interest to patients with gestational diabetes mellitus (GDM), especially considering the significant importance of quickly achieving adequate BG control for these patients in a short period (ie, during pregnancy) and a typically higher acceptance rate for mobile health (mHealth) solutions for short- to midterm usage. OBJECTIVE This study was conducted with the objective of developing infrastructure comprising data processing algorithms, BG prediction models, and an appropriate mobile app for patients’ electronic record management to guide BG prediction-based pe...

Research paper thumbnail of Health Monitoring System for Patients with Gestational Diabetes Mellitus Based on Nutrition Diaries and Fitness Bracelets

Biomedical Engineering, 2020

Research paper thumbnail of Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus

JMIR mHealth and uHealth, Jan 9, 2018

Personalized blood glucose (BG) prediction for diabetes patients is an important goal that is pur... more Personalized blood glucose (BG) prediction for diabetes patients is an important goal that is pursued by many researchers worldwide. Despite many proposals, only a few projects are dedicated to the development of complete recommender system infrastructures that incorporate BG prediction algorithms for diabetes patients. The development and implementation of such a system aided by mobile technology is of particular interest to patients with gestational diabetes mellitus (GDM), especially considering the significant importance of quickly achieving adequate BG control for these patients in a short period (ie, during pregnancy) and a typically higher acceptance rate for mobile health (mHealth) solutions for short- to midterm usage. This study was conducted with the objective of developing infrastructure comprising data processing algorithms, BG prediction models, and an appropriate mobile app for patients' electronic record management to guide BG prediction-based personalized recomm...

Research paper thumbnail of A Remote Monitoring System for Diabetes Patients

Biomedical Engineering, 2014

Research paper thumbnail of Method and hardware-software complex for assessment of functional state and effectiveness of the portable on-line cardio monitors

Research paper thumbnail of A System for Remote-controlled Intelligent Monitoring of the Health Status in Humans

Biomedical Engineering, 2017

The structure of a system for remote monitoring health status in humans is discussed, consisting ... more The structure of a system for remote monitoring health status in humans is discussed, consisting of a mobile mon itor, mobile device, a server in a healthcare institution, and a family doctor's mobile computer. An algorithm for remote intelligent monitoring of patients, adjusting the operating mode and signal recording channel characteris tics is presented, along with an algorithm for the processing and analysis of diagnostic information when there are changes in the patient's ongoing physiological status from the individual norm.

Research paper thumbnail of System and Algorithm of Intelligent Biomedical Signal Processing and Analysis for Human Health Status Remote Monitoring System

Journal of the Russian Universities. Radioelectronics, 2018

Continuous and steady running of health status remote monitoring systems is essential not to omit... more Continuous and steady running of health status remote monitoring systems is essential not to omit episodes of acute exacerbation of chronic disease. Running time of such systems is largely determined by performance capabilities of the patient's wearable system elements. To ensure its long-term operation and efficient performance, the monitoring system must have multilayered structure with the elements realizing recording and picking off biomedical signals, signal processing and analysis, estimation of patient current condition, dynamics of the disease and its prognosis. For this purpose, it is necessary to use smart monitoring algorithms. A specific feature of such algorithms is change of the number of channels used for biomedical signal recording and processing according to the change of patient’s condition. To detect the exacerbation first symptoms by means of the patient's wearable computer, additional channels are activated for recording biomedical signals used to evalua...