The document discusses bioelectrical signal analysis within biomedical engineering, highlighting its importance for developing medical devices and diagnostic tools that rely on biosignals such as ECG, EMG, and EEG. It outlines the characteristics of biosignals, the stages of signal processing, and their applications in intensive care units, ergonomics, medical research, and sports science. Additionally, it emphasizes the role of EMG in analyzing muscle activity and improving medical research and ergonomic design.

1. Bioelectrical
Signal Analysis

2. What these are?
Biomedical
engineering
concerned
with
the
is
a
discipline
development
and
manufacture of prostheses, medical devices,
diagnostic devices, drugs etc. And all these
require
bioelectrical
signals.
These
bioelectrical signals are typically very small in
amplitude
and
require
amplification
to
accurately record, display and analyze the
signals

3. Measurement (Equipments)
heart (electrocardiogram/ECG);
muscles (electromyograph/EMG);
skin (Galvanic skin response/GSR);
scalp (electroencephalograph/EEG);
eyes (electrooculogram/EOG

4. Importance of Biosignals
Diagnosis
Patient monitoring
Biomedical research

5. Characteristics of Biosignals
Often hidden in a background of other
signals and noise components.
Generated by highly complex and dynamic
biological processes
with parameters
usually more than a few and varying
continuously

6. Signal Conditioning

7. Biosignal Processing
In order to derive the required information from the
bio signals:
-Disturbance should be filtered out
-The amount of data should be reduced by
discriminating only the most significant ones
related with the required information

8. Stages of Biosignal Processing
 Signal acquisition
 Transformation and reduction of the
signals
 Computation of signal parameters
that are diagnostically significant
 Interpretation or classification of the
signals

9. Application of Biosignal Analysis
In ICUs
 integrating signals from multiple sources
 presenting information in the most appropriate form
 interpreting variations over prolonged time periods
 learning and recognizing profiles
 triggering “intelligent” alarms

10. Application Areas of Biosignal Analysis
Biosignals offer parameters that support
medical decision making and trend
analysis.
Bio signal analysis techniques help to
extract
these
parameters
accurately, analyze and interpret them
objectively.

11. Applications of EMG
11

12. Applications of EMG in Ergonomics
► ANALYSIS OF DESIGN.
► RISK PREVENTION.
► ERGONOMIC DESIGN.
► PRODUCT CERTIFICATION.
12

13. Applications of EMG in Medical Research
►EMG helps to improve
the medical research
studies by detecting
activity levels in muscles
and quickly identifying
muscle dysfunction.
13

14. Applications of EMG in Medical Research
FUNCTIONAL NEUROLOGY
GAIT AND POSTURE ANALYSIS
PROSTHETIC DEVICES
ORTHOPEDICS
SURGERY
14

15. EMG For A Robotic Hand
Figure shows the highly
integrated approach to use
EMG recording of the
human lower arm in order
to control the opening and
closing of three fingers of
the hand.
15

16. Applications of EMG in Sports Science
► Biomechanics is the
scientific study of forces
and the effects of those
forces on and within the
human body.
16

17. Thanks…………