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BIOMEDICAL DIGITAL SIGNAL
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DI05003031
Code: DI05003031
Credits: 4
Semester 5
ELECTRICAL
Biomedical Digital Signal Processing
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Follow on Instagram for UpdatesBiomedical Digital Signal Processing Syllabus — Unit-wise Content
The official GTU curriculum for Biomedical Digital Signal Processing (subject code DI05003031) as prescribed for ELECTRICAL · Semester 5 divides the course into 5 units, covering 28 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (DI05003031)Unit 1 Basics of Signals and Time Domain Analysis 09
- Basics of Signals ● Definition and examples of signals. ● Continuous and discrete signals
Unit 2 Signal Classification & Signal Operations
- ● Signal classification: Deterministic
- Even, Odd, Energy & Power. ● Representation of signals. ● Signal operations: Amplitude scaling
- Time shifting
- Time reversal
Unit 3 Standard Singularity & Test Functions
- ● Singularity functions: Unit step
Unit 4 Introduction to Biomedical Signals
- ● ECG, EEG, EMG, PCG & PPG ● Continuous and sampled biomedical signals. 20% 2 Basics of Systems and LTI Systems 10 1
- Introduction to Systems ● Definition of a System ● System Representation: Continuous-Time vs
- Discrete- Time Systems 2 Properties and Classification of Systems ● Static (memoryless) vs. dynamic (with memory) 22% Program Name: Diploma Engineering Level: Diploma Branch: Biomedical Engineering Subject Code: DI05003031 Subject Name: Biomedical Digital Signal Processing ● Linear vs. nonlinear ● Time-invariant vs. time-variant ● Causal vs. non-causal ● Stable vs. unstable (BIBO stability) ● Invertible systems 3 Linear Time-Invariant (LTI) Systems ● Properties of LTI systems ● Impulse response ● The convolution sum for discrete systems 4
- Biomedical System Applications ● Biomedical Instrumentation as Systems ● Patient monitoring systems as multi-channel macro systems ● ECG Acquisition System ● Pulse Oximeter Signal Chain ● Examples of linear and stable biomedical instrumentation systems ● Examples of nonlinear and time-variant physiological systems. 3 Frequency Domain Representation 10 1
- Introduction to Fourier Series ● Concept of frequency domain representation ● Fourier representation of continuous-time periodic signals 2
- Mathematical Formulations of Fourier Series ● Trigonometric representation and coefficients 3
- Properties of the Fourier Transform ● Linearity and time-shifting properties ● Frequency shifting and scaling properties ● Duality property ● Parseval's theorem 4
- Clinical Importance of Frequency Analysis ● Importance of frequency analysis. ● Frequency components of biomedical signals. ● Power line interference ● Heart sound (PCG) frequency content
Unit 5 Applications in Biomedical Engineering
- 22% 4 Analog to Digital Conversion 08 1
- The Analog-to-Digital Converter (ADC) Architecture ● Functional block diagram of an ADC system 18% Program Name: Diploma Engineering Level: Diploma Branch: Biomedical Engineering Subject Code: DI05003031 Subject Name: Biomedical Digital Signal Processing 2
- Sampling Process and Nyquist Criteria ● The Sampling Theorem ● Definition of Nyquist Rate and Nyquist Criterion ● The phenomenon of Aliasing ● Quantization
- Quantization error. 3
- Biomedical Applications & Instrumentation ● ECG Digitization ● Pulse Oximeter Signal Acquisition ● Digital thermometer & Patient Monitor Signal Acquisition ● Importance of proper sampling in medical instruments. 5 Digital Signal Processing and Biomedical Applications 08 1
- Architecture and Advantages of DSP Systems ● Core block diagram of a Digital Signal Processing (DSP) system ● Advantages of digital processing over analog signal conditioning systems ● The Biomedical Signal Processing Chain: Sequential processing stages from physiological source to clinical 2.Common Biomedical Signal Artifacts and Noise Reduction ● Power line interference
- Motion artifact
- Baseline drift
- Concept of noise reduction. 3
- Clinical and Digital Healthcare Applications: ● ECG
- Pulse oximetry
- Patient monitoring
- Wearable healthcare devices
- Digital healthcare systems
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