Course Title: Biomedical Signals, Instrumentation and Measurement
Type of Course: Optional, Sessional
Offered to: EEE
Pre-requisite Course(s): None
This course consists of two parts. In the first part, students will perform experiments to verify practically the theories and concepts learned in EEE 425. In the second part, students will design simple systems using the principles learned in EEE 425.
To provide hands-on training on fundamental concepts and algorithms of digital signal processing.
To provide hands-on training on experimental techniques used to apply digital signal processing algorithms in real-life applications.
Fundamental understanding of concepts of Electrical and Electronic Circuits, Continuous Signals and Linear Systems course and Mathematics courses.
| CO No. | CO Statement | Corresponding PO(s)* | Domains and Taxonomy level(s)** | Delivery Method(s) and Activity(-ies) | Assessment Tool(s) |
|---|---|---|---|---|---|
| 1 | understand the behaviour of different biomedical signals. | PO(a) | P1, P4 | Lectures, Lab demonstrations, | Lab-tasks, Assignment |
| 2 | compare experimental and emulation results found. | PO(d) | C5 | Lectures, Lab demonstrations | Lab-tasks, Report, Assignment |
| 3 | design biomedical instruments to measure the biological activity of human body. | PO(c), PO(i) | C6 | Lectures, interactive discussions | Lab-tasks, Report, Assignment |
| 4 | Analyse the behaviour of different biological signals to detect abnormality and find solutions of different problems in human body. | PO(i), PO(j), PO(k), PO(l) | P7, C6, A3 | Interactive discussions | Project demonstration and Presentation |
Cognitive Domain Taxonomy Levels: C1 – Knowledge, C2 – Comprehension, C3 – Application, C4 – Analysis, C5 – Synthesis, C6 – Evaluation, Affective Domain Taxonomy Levels: A1: Receive; A2: Respond; A3: Value (demonstrate); A4: Organize; A5: Characterize; Psychomotor Domain Taxonomy Levels: P1: Perception; P2: Set; P3: Guided Response; P4: Mechanism; P5: Complex Overt Response; P6: Adaptation; P7: Organization
Program Outcomes (PO): PO(a) Engineering Knowledge, PO(b) Problem Analysis, PO(c) Design/development Solution, PO(d) Investigation,
PO(e) Modern tool usage, PO(f) The Engineer and Society, PO(g) Environment and sustainability, PO(h) Ethics, PO(i) Individual work and team work,
PO(j). Communication, PO(k) Project management and finance, PO(l) Life-long Learning
* For details of program outcome (PO) statements, please see the departmental website or course curriculum
| K1 | K2 | K3 | K4 | K5 | K6 | K7 | K8 | P1 | P2 | P3 | P4 | P5 | P6 | P7 | A1 | A2 | A3 | A4 | A5 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Week | Experiment no. | Topic |
|---|---|---|
| 1 | 1 | Introduction to the scope and objectives Discussion on various applications to help students selecting project |
| 2 | 2 | Machine Learning based non-invasive approach for blood cholesterol level estimation |
| 3 | 3 | Non-invasive Oxygen Saturation Measurement for Hypoxemia Detection Using Pulse Oximetry |
| 4 | 4 | Design and Development of a Cost-Effective Continuous Heart Rate Measuring Device using Fingertip to Detect Drowsy Driving |
| 5 | 5 | Diabetic retinopathy Detection |
| 6 | 6 | Presenting project update |
| 7 | 7 | Extracting SpO2, heart rate, and clinical symptoms by pulse oximetry and machine learning to detect pneumonia using a non-invasive method. |
| 8 | 8 | Wearable and Low-Cost Device For Detecting Amyotrophic Lateral Sclerosis (ALS) Using Electromyography (EMG) Signal |
| 9 | 9 | EMG Signal Based Intelligent Wheel Chair |
| 10 | 10 | Presenting project update and feedback |
| 11 | 11 | Presenting project update and feedback |
| 12 | 12 | Presenting project update and feedback |
| 13 | 13 | Final project demonstration and presentation |
Class participation will be judged by in-class evaluation; attendance will be recorded in every class.
Continuous assessment will be done in the form of laboratory tasks, assignments, laboratory-tests, report writing and viva.
A group project on the design of a digital system performing a specific task with the help of various signal processing operations has to be completed by the end of this course. A project report has to be submitted and the project has to demonstrated and presented in the class.
To be decided by course instructor(s)
Robert B. Northrop, Non-Invasive Instrumentation and Measurement in Medical Diagnosis, CRC press, 2nd Ed., 2022 (required).
R. Anandanatarajan, Biomedical Instrumentation and Measurements, PHI Learning Private Limited, 2nd Ed., 2022 (required).
Besides going through relevant topics of the textbook, it is strongly advised that the students follow the class Lectures and discussions regularly for a thorough understanding of the topics.