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· 분류 : 외국도서 > 기술공학 > 기술공학 > 생체공학
· ISBN : 9783030997274
· 쪽수 : 313쪽
· 출판일 : 2022-07-02
목차
S.No
Chapter Title
Tentative authors
Affliation
1
Diabetics, Classification of Diagnosis Methods and Accuracy Assessment Standards:
Lutz Heinemann
l.heinemann@science-co.comScience Consulting in Diabetes GmbH, 40468 Dusseldorf, Germany
2
Conventional Methods for Diabetics Monitoring
MarcusLind
lind.marcus@telia.com
Diabetes Outpatient Clinic, Uddevalla Hospital, 451 80 Uddevalla, Sweden
3
Optics Based Techniques for Monitoring Diabetics
Ishan Barman
ibarman@jhu.edu
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
4
Surface Plasmon Resonance (SPR) Assisted Diabetics Detection
Jean-Francois Masson
jf.masson@umontreal.ca
Centre for self-assembled chemical structures (CSACS), McGill University, 801 Sherbrooke Street West, Montreal, Quebec H3A 2K6, Canada
5
Role of Fluorescence Technology in Diagnosis of Diabetics
Jin Zhang
jzhang@eng.uwo.caBiomedical Engineering Graduate Program, University of Western Ontario, 1151 Richmond St., London, ON N6A 5B9, Canada
6
Infrared and Raman Spectroscopy Assisted Diagnosis of Diabetics
Zhengjun ZhangKey
zjzhang@tsinghua.edu.cn
Laboratory of Advanced Materials (MOE), School of Materials Science and Engineering, Tsinghua University, Beijing, P.R. China
7
Minimally-Invasive and Non-Invasive Technologies: An Overview
Wilbert Villena Gonzales
w.villena@uq.edu.auSchool of Information Technology and Electrical Engineering, The University of Queensland, St Lucia,Brisbane 4072, Australia
8
Photoacoustic Spectroscopy Mediated Non-Invasive Detection of Diabetics
Mioara PETRUS
mioara.petrus@inflpr.ro
Department of Lasers, National Institute for Laser, Plasma, and Radiation Physics, 409 Atomistilor St., PO Box MG-36, 077125 Bucharest, Roumania
9
Bioimpedance Spectroscopy Based Estimation of Diabetics
Anja Schork
Anja.Schork@med.uni?tuebingen.deDepartment of Internal Medicine IV, Division of Endocrinology,Diabetology, Vascular Disease, Nephrology and Clinical Chemistry,University Hospital Tubingen, Otfried?Muller?Str.10, 72076 Tubingen,Germany
10
Millimeter and Microwave Sensing Technique for Diagnosis of Diabetics
Ala Eldin Omer
aeomomer@uwaterloo.ca
Centre for Intelligent Antenna and Radio Systems (CIARS), Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
11
Indicating Diabetics Level by Non-Invasive Electromagnetic Sensing Technique
Yuanjin Zheng
yjzheng@ntu.edu.sgSchool of Electrical and Electronic Engineering, Nanyang Technological University,Singapore 639798, Singapore
12
Metabolic Heat Conformation Based Non-Invasive Monitoring of Diabetics
Yu Huang
yu-huang@cuhk.edu.hk
School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong
13
Current Status of Invasive Diabetics Monitoring
Andrew J. Flewitt
ajf@eng.cam.ac.uk
Electrical Engineering Division, Department of Engineering, University of Cambridge, J J Thomson Avenue,Cambridge CB3 0FA, UK
14
Commercial Non-Invasive Devices for Diabetics Monitoring
Maryamsadat Shokrekhodaei
mshokrekhod@miners.utep.eduDepartment of Electrical and Computer Engineering, The University of Texas at El Paso,El Paso, TX 79968, USA
15
Future Developments in Invasive and Non-Invasive Diabetics Monitoring
Ronny Priefer
ronny.priefer@mcphs.edu
Massachusetts College of Pharmacy and Health Sciences University, Boston, MA, USA
16
Different Machine Learning Algorithm involved in Glucose Monitoring to Prevent Diabetes Complicationsand Enhanced Diabetes Mellitus Management
Rekha Phadke
rekhaphadke@gmail.com
Department of Electronics and Communication, NMIT, Bangalore, India
17
The role of Artificial Intelligence in Diabetes management
Jyotismita Chaki
jyotismita.c@gmail.com
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India18
Artificial Intelligence and Machine learning for Diabetes Decision Support
Josep Vehi
josep.vehi@udg.edu
POLITECNICA IV
Campus Montilivi
17003 - GIRONA
Despatx: 131
