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ویرایش: 1
نویسندگان: Sudip Paul (editor). Dinesh Bhatia (editor)
سری:
ISBN (شابک) : 0128179139, 9780128179130
ناشر: Academic Pr
سال نشر: 2020
تعداد صفحات: 254
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 14 مگابایت
در صورت تبدیل فایل کتاب Smart Healthcare for Disease Diagnosis and Prevention به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب مراقبت های بهداشتی هوشمند برای تشخیص و پیشگیری از بیماری نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
مراقبت های بهداشتی هوشمند برای تشخیص و پیشگیری از بیماری بر پیشرفت در فناوری مراقبت های بهداشتی برای بهبود سلامت انسان در همه سطوح با استفاده از فناوری های هوشمند تمرکز دارد. همه موضوعات ضروری از مفاهیم اولیه (مانند پردازش سیگنال و تصویر) تا دانش پیشرفته در موضوعاتی مانند مهندسی بافت، ابزار دقیق مجازی و هوشمند (یا VLSI) و سیستمهای جاسازی شده را پوشش میدهد. این کتاب می تواند برای راهنمایی دانشجویان و محققان جوان، ارائه دانش پایه در زمینه پردازش سیگنال/تصویر و فناوری های هوشمند استفاده شود. کاربران ترکیبی عالی از رویکرد میان رشته ای به مهندسی زیست پزشکی را خواهند یافت.
این کتاب بسیاری از مفاهیم فنی، فناوریهای نوظهور، برنامههای کاربردی مراقبتهای بهداشتی در دنیای واقعی، و بسیاری دیگر از مفاهیم فنی و چند رشتهای را در همان محتوا در نظر میگیرد. در نهایت، به طور سیستمی فنآوریها و دستگاههای مربوط به اشیاء مراقبتهای بهداشتی را معرفی میکند و تشخیص و پیشگیری از بیماریها را از دیدگاههای مختلف هدف قرار میدهد.
Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find a perfect blend of the interdisciplinary approach to biomedical engineering.
The book considers many technical concepts, emerging technologies, real-world healthcare applications, and many other technical, multidisciplinary notions in the same content. Finally, it systemically introduces the technologies and devices for healthcare objects and targets disease diagnosis and prevention in different views.
Cover Smart Healthcare for Disease Diagnosis and Prevention Copyright Contents List of contributors Preface Key features Acknowledgment 1 A very short story for a new future 1.1 Introduction 1.2 Methodology 1.3 Results 1.4 Discuss and conclusion Further reading 2 Design and development of command prompt assist device for locked in syndrome patients 2.1 Introduction 2.2 Methodology 2.2.1 Block diagram 2.2.2 Electrode placement 2.3 Implementation 2.3.1 Hardware implementation 2.3.2 Software implementation 2.4 Results and discussions 2.5 Conclusion Further reading 3 Stem cell factor induces mast cell degranulation and proliferation independent of CD81 receptor 3.1 Introduction 3.2 Methods 3.2.1 Cell culture and SCF stimulation 3.3 Flowcytometry 3.4 Tryptase degranulation assay 3.5 Thymidine incorporation 3.6 Results 3.6.1 Wt and CD81 negative mast cells express identical Kit receptor at surface levels 3.7 SCF induces mast cell degranulation independent of CD81 3.8 SCF induces mast cell proliferation independent of CD81 3.9 Discussion Acknowledgment References 4 Triply periodic minimal surface porous implants to reconstruct bone defects 4.1 Introduction 4.2 Materials and method 4.2.1 TPMS based porous scaffold-Gyroid (G) structure modeling 4.3 Preparing the gyroid for FEA 4.3.1 Porosity calculation 4.3.2 FEA analysis of scaffold models 4.4 Results 4.5 Discussion References 5 Preparation and characterization of gold nanoparticles conjugated insulin 5.1 Introduction 5.2 Materials and methods 5.3 Zeta potential studies 5.4 Conclusion Acknowledgment References 6 Application of machine learning for early diagnosis of Parkinson’s disease 6.1 Introduction 6.2 Literature review 6.3 Convectional diagnosis are inefficient and costly 6.4 Effectiveness of machine learning technique for Parkinson detection 6.5 Discussion 6.6 Importance of machine learning for early detection 6.7 Recommendation 6.8 Conclusion Acknowledgment References 7 Power spectrum analysis of heart rate variability during internally and externally operative attention 7.1 Introduction 7.2 Materials and methods 7.2.1 Participants 7.2.2 Procedure 7.2.3 Posner’s spatial orienting cuing task 7.3 Analysis 7.4 Result and discussion 7.5 Conclusion References 8 Investigation of heart rate variability with the help of Welch periodogram in Indian young adults based on body physique 8.1 Introduction 8.1.1 HRV measurement methods 8.1.1.1 Time domain methods 8.1.1.2 Frequency domain methods 8.2 Materials and methods 8.3 Results and discussion 8.3.1 Time domain indices HRV 8.3.2 Frequency domain indices HRV 8.4 Conclusion References 9 An insight into Parkinson’s disease: researches and its complexities 9.1 Overview 9.1.1 Significance of neurodegenerative disorders 9.1.2 Complications of PD 9.2 Advancing researches in Parkinson’s disease 9.2.1 Literature survey 9.2.2 Some of the research areas associated with Parkinson’s disease: [26,27] 9.2.3 Role of EEG and EMG in Parkinson’s disease 9.2.4 Radiological interpretations associated with PD 9.3 Role of neurotransmitters in Parkinson’s disease 9.4 Epidemiology of Parkinson’s disease 9.5 Clinical interventions of PD 9.5.1 Stages in PD 9.5.2 Scales in PD 9.6 Summary References Further reading 10 Investigation into the occupational ride comfort due to exposure of whole body vibration 10.1 Introduction 10.2 General details 10.3 Measurement devices/equipments 10.4 Experimental design and data analysis 10.5 Conclusions Acknowledgment References 11 Fuzzy entropy based seizure detection algorithms for EEG data analysis 11.1 Introduction 11.2 Materials & methods 11.2.1 Materials 11.2.2 Methods 11.2.3 Performance 11.3 Results 11.4 Conclusion Acknowledgment References 12 Low-cost ultrasonic-based shoe for visually impaired people 12.1 Introduction 12.2 Description of components 12.2.1 Ultrasonic sensor 12.3 Light dependent resistor 12.4 Working principle of light dependent resistor 12.5 Buzzer 12.6 Working principal 12.7 Circuit diagram 12.8 Conclusion References 13 Design of array multiplier circuit using reversible logic approach with optimized performance parameters 13.1 Introduction 13.2 Array multiplier design 13.3 Reversible logic basics 13.3.1 Reversible design units 13.3.2 Reversible design approach 13.4 Proposed reversible array multiplier 13.4.1 Reversible and operation 13.4.2 4-Bit addition operation 13.5 Result and analysis 13.6 Conclusion References 14 Smart diagnosis of cardiac arrhythmias using optimal feature rank score algorithm for solar based energy storage ECG acq... 14.1 Introduction 14.2 System description 14.3 Solar system with energy storage device 14.3.1 Battery management system 14.4 ECG acquisition system 14.5 ECG-acquisition and pre-processing 14.6 Feature extraction techniques 14.7 Feature selection using region feature ranking score algorithm 14.8 Result and discussion 14.8.1 Preprocessing of ECG signal 14.8.2 Extraction of features 14.8.3 Optimal feature selection using feature ranking score algorithm 14.8.3.1 Performance analysis for SVM classification with and without application of FRSA 14.9 Conclusion References Further reading 15 Therapeutic approach in cerebral palsy treatment and management: outcomes and benefits 15.1 Introduction 15.2 Co-occurrence of associated problems with CP 15.3 Approaches in treatment and management of CP 15.3.1 Recent trends in modern era 15.3.2 Approaches to the management of children with motor problems 15.3.3 Sample size and data collection 15.3.4 Analysis References 16 Magnetic nanoparticles mediated cancer hyperthermia Abbreviations 16.1 Introduction 16.2 Overview of cancer treatment 16.3 Magnetic nanoparticles in hyperthermia 16.4 Mechanism of heat dissipation by magnetic nanoparticles 16.4.1 Hysteresis loss 16.4.2 Brownian relaxation loss 16.4.3 Neel’s relaxation 16.5 Mathematic model for determination of body heat 16.6 Different magnetic nanostructures in hyperthermia 16.6.1 Lipid based magnetic nanoparticles 16.6.2 Polymer based magnetic nanoparticles 16.6.3 Magnetic nano-emulsions 16.6.4 Carbon based magnetic nanoparticles 16.6.5 Bacteria derived MNPs 16.6.6 Magnetic nanostructures for self-controlled hyperthermia 16.7 Current status of hyperthermia and combination therapy 16.7.1 Hyperthermia and radiotherapy 16.7.2 Hyperthermia and chemotherapy 16.7.3 Hyperthermia and gene therapy 16.7.4 Hyperthermia and immunotherapy 16.7.5 Hyperthermia and ultrasound 16.8 Challenges and future prospect 16.9 Conclusion References Further reading 17 Bone cancer detection using machine learning techniques 17.1 Introduction 17.2 Machine learning techniques for cancer classification 17.2.1 Decision tree algorithm 17.2.2 Support vector machine 17.2.3 Random forests 17.2.4 Evolutionary algorithms 17.2.5 Swarm intelligence 17.3 Machine learning techniques for bone cancer detection 17.3.1 Challenges and future prospects 17.4 Conclusion References Further reading 18 Introduction to physiology 18.1 What is physiology? 18.2 Organization of human physiology 18.3 Knowledge of physiology is essential for the practice of medicine 18.4 Today’s physiology is tomorrow’s medicine-William Osler 18.5 History of physiological sciences 18.6 Conclusion References Further reading 19 Basic overview of human physiology 19.1 Introduction 19.1.1 Key points about physiology 19.1.2 Biological systems 19.1.3 Branches 19.2 Integumentary system 19.2.1 Functions of the integumentary system 19.2.2 Structure of integument (skin) 19.3 Musculoskeletal system 19.3.1 Muscles 19.3.2 Structure of skeletal muscle 19.4 Digestive system 19.4.1 Digestive activities of GI tract 19.4.2 Enzymes involved in digestion 19.5 Respiratory system 19.5.1 Mechanism of breathing 19.6 Circulatory system 19.6.1 Blood 19.6.2 Heart 19.6.3 Blood vessels 19.7 Nervous system 19.7.1 Neuron as structural and functional unit of neural system 19.7.2 Brain 19.7.2.1 Forebrain 19.7.2.2 Midbrain 19.7.2.3 Hindbrain 19.8 Endocrine system 19.8.1 Hypothalamus 19.8.2 Pituitary gland 19.8.3 Thyroid gland 19.8.4 Parathyroid glands 19.8.5 Thymus gland 19.8.6 Pineal gland 19.8.7 Pancreas 19.8.8 Adrenal glands 19.9 Reproductive system 19.9.1 Male reproductive organ 19.9.2 Female reproductive system 19.10 Excretory system 19.10.1 Kidney 19.11 Immune system 19.11.1 The structure of the immune system Conclusion References 20 Smart healthcare with sensors and wireless body area networking 20.1 Relevance and introduction 20.2 Smart health care (WBAN) in acute medical care 20.3 A soft ware based flowchart for monitoring tasks in emergency room 20.4 Smart health care (WBAN) when an ill patient being transported 20.5 Smart health care (WBAN) in psychiatry 20.6 Smart health care (WBAN) in infertility 20.7 Smart health care (WBAN) in orthopedics 20.8 Smart health care (WBAN) in internal medicine 20.9 Smart health care (WBAN) in ear-nose-throat care and respiratory medicine 20.10 Smart health care (WBAN) in cardiology 20.11 Smart health care (WBAN) in anesthesia 20.12 Smart health care (WBAN) in neurology and geriatrics 20.13 Smart health care (WBAN) in ophthalmology 20.14 Smart health care (WBAN) in urology and sexual dysfunction 20.15 Smart health care (WBAN) in other special situations References 21 Muscular load compensation patterns in patients with knee osteo-arthritis 21.1 Introduction 21.2 Methodology 21.2.1 Muscles 21.2.2 Subjects 21.2.3 Data recording 21.2.4 Post processing 21.3 Results and discussion 21.3.1 Biceps femoris 21.3.2 Vastus medialis 21.3.3 Gastrocnemius lateralis 21.3.4 Tibialis anterior 21.4 Conclusion 21.5 Limitations and future scope Acknowledgments References Index Back Cover