Page 9 - M.E. Medical Electronics Curriculum and Syllabus - R2019

Department of BME, REC

OUTCOMES:
On completion of the course the students will be able to
• Describe the potentials developed in the body
• Describe basic structural and functional elements of human body
• Explain organs and structures involving in system formation and functions.
• Explain the functions of cardio vascular system
• Identify all systems in the human body

REFERENCES:
1. Anatomy & Physiology, Gary A.Thibodeau, Kevin T.Patton – 7th Edition, Mosby
Publisher 2009.
2. The Human Body, Gillian Pocock & Christopher D.Richards, Oxford University Press,
2009.
th
3. Guyton ‘Text book of Medical Physiology – WB Jaunder company Philadelphia - 10
edition 2002.
4. Tobin C.E., “Basic Human Anatomy”, McGraw – Hill Publishing Co., Ltd., Delhi 1997.
5. Gibson.J. “Modern Physiology & Anatomy for Nurses”, Blackwell SC Publishing
1981.
6. Essential of Human Anatomy and Physiology, Elaine.N.Marieb Eight Edition,
Pearson Education, New Delhi, 2007.

MX19102 BIOSIGNAL ACQUISITION AND PROCESSING L T P C

3 1 0 4
OBJECTIVES
• To know the various functional blocks present in biosignal acquisition system
• To understand the different biopotential characteristics and recording methods
• To gain in depth knowledge about wavelet detection
• To develop a thorough knowledge on classification of biomedical signals
• To understand thoroughly multivariate analysis To develop an understanding of the
nonelectrical parameters measurements

UNIT I BIOMEDICAL TRANSDUCERS AND AMPLIFIERS 12
Categories and Characteristics of Transducer, Signal conditioning units, Multichannel data
acquisition system, various types recorders, necessity for low noise pre amplifiers,
Difference amplifier, Chopper amplifier, Different types of electrode and its equivalent
circuits.

UNIT II BIOPOTENTIAL RECORDING 12
ECG, EEG, EMG, PCG, EOG, ERG lead system and recording methods, typical waveform,
frequency spectrum, abnormal waveform, block schematic of ECG recorder and other Bio
potential recorder

UNIT III ADAPTIVE FILTERING AND WAVELET DETECTION 12
Filtering – LMS adaptive filter, adaptive noise cancelling in ECG, improved adaptive filtering
in FECG, Wavelet detection in ECG – structural features, matched filtering, adaptive wavelet
detection, detection of overlapping wavelets.

UNIT IV BIO SIGNAL CLASSIFICATION AND RECOGNITION 12
Signal classification and recognition – Statistical signal classification, linear discriminate
function, direct feature selection and ordering, Back propagation neural network based
classification. Application in Normal versus Ectopic ECG beats.
Case study: Based on recognition and classification

R 2019 - Curriculum and Syllabus/ M.E Medical Electronics Page 9