Mathematical Aspects of Biomedical Electronic System Design
Created By
Prof. Chandramani Singh via Swayam
- 0
- 12 weeks long
- Swayam
- English
Course Overview
This course is a system design-oriented course aimed to provide exposure to mathematical analysis and its importance in the translational biomedical systems. Biomedical electronics and subsequent mathematical analysis are popular research areas, and this course is an introduction to both. The emphasis is on biostatistical aspects with an introduction to standard Biological system design and experimental protocols. Expected course outcomes:• Introduction to Biomedical optics• Multimodal Approaches for Tissue phenotyping• Mathematical Modelling of Biomedical System Design• Acquisition, Preprocessing and Analysis of Biological Signals• Demonstration of EEGLab and ERPLab for EEG and ERP signal processingINTENDED AUDIENCE : Engineering students, Faculty from Engineering Colleges, Medical StudentsPREREQUISITES : Basic Electronics
Course Circullum
Week-1: Signals and Systems
Week-2: Signal Representation Week-3: Linear Algebra
Week-4: Stochastic Modeling Week-5: Biomedical system design for neuroscience applications Week-6: IoT protocols – Brain Computer Interfaces Signal Processing
Week-7: Understanding electro-thermo-mechanical properties of biological tissues
Week-8: Microsensors for label-free phenotyping of solid tissue tumours
Week-9: Mathematical models for understanding tumour progression in breast cancer
Week-10: Introduction to Biomedical Optics: Theory and Mathematical modeling
Week-11: Design and development of biomedical optical tools
Week-12: Multimodal optical and ultrasound techniques
Week-2: Signal Representation Week-3: Linear Algebra
Week-4: Stochastic Modeling Week-5: Biomedical system design for neuroscience applications Week-6: IoT protocols – Brain Computer Interfaces Signal Processing
Week-7: Understanding electro-thermo-mechanical properties of biological tissues
Week-8: Microsensors for label-free phenotyping of solid tissue tumours
Week-9: Mathematical models for understanding tumour progression in breast cancer
Week-10: Introduction to Biomedical Optics: Theory and Mathematical modeling
Week-11: Design and development of biomedical optical tools
Week-12: Multimodal optical and ultrasound techniques
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This Course Include:
Week-1: Signals and Systems
Week-2: Signal Representation Week-3: Linear Algebra
Week-4: Stochastic Modeling Week-5: Biomedical system design for neuroscience applications Week-6: IoT protocols – Brain Computer Interfaces Signal Processing
Week-7: Understanding electro-thermo-mechanical properties of biological tissues
Week-8: Microsensors for label-free phenotyping of solid tissue tumours
Week-9: Mathematical models for understanding tumour progression in breast cancer
Week-10: Introduction to Biomedical Optics: Theory and Mathematical modeling
Week-11: Design and development of biomedical optical tools
Week-12: Multimodal optical and ultrasound techniques
Week-2: Signal Representation Week-3: Linear Algebra
Week-4: Stochastic Modeling Week-5: Biomedical system design for neuroscience applications Week-6: IoT protocols – Brain Computer Interfaces Signal Processing
Week-7: Understanding electro-thermo-mechanical properties of biological tissues
Week-8: Microsensors for label-free phenotyping of solid tissue tumours
Week-9: Mathematical models for understanding tumour progression in breast cancer
Week-10: Introduction to Biomedical Optics: Theory and Mathematical modeling
Week-11: Design and development of biomedical optical tools
Week-12: Multimodal optical and ultrasound techniques
- Provider:Swayam
- Certificate:Paid Certificate Available
- Language:English
- Duration:12 weeks long
- Language CC: