BioSignal Processing - jrcanedo's E
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Transcript BioSignal Processing - jrcanedo's E
BioSignal
Processing
Introduction
Biological signals or biosignals
Are space, time, or space–time records of a
biological event such as a beating heart or a
contracting muscle. The electrical, chemical, and
Mechanical activity that occurs during these biological
event often produces signals that can be measured
and analyzed.
Contain useful information that can be used to
understand the underlying physiological mechanisms
of a specific biological event or system, and which
may be useful for medical diagnosis.
Introduction
Digital processing methods
Data acquisition
Using stethoscope to listen to patient’s heart
Signal analysis
Retrieve useful information
• Amplification
• Filtering
• Digitization
• Processing
• Storage
Physiological Origins of
Biosignals
Bioelectric Signals
Generated by nerve and muscle cells as a result of
electrochemical changes within and between cells
Can be measured with intracellular or extracellular
electrodes
ECG, EGG, EEG, and EMG are results of the
Bioelectric signals taken from the human body
Physiological Origins of
Biosignals
Biomagnetic Signals
Different organs(heart, lungs & brain) generate
weak magnetic fields
Measured from specific physiological activity that is
linked to an accompanying electric field from a
specific tissue or organ
Uses very precise magnetic sensors or SQUID
magnetometers (Superconducting Quantum
Interference Device)
Physiological Origins of
Biosignals
Bio magnetic Signals (cont.)
Magnetoencephalography (MEG) - monitor
magnetic activity from the brain
Magnetoneurography (MNG) – monitor peripheral
nerves
Magnetogastrography (MGG) – monitor
gastrointestinal tract
Magnetocardiography (MCG) – monitor the heart
Physiological Origins of
Biosignals
Biochemical Signals
Contain information about changes in concentration
of various chemical agents in the body
Oxygen concentration
Determine levels of glucose, lactate and
metabolites
Provides information about the function of various
physiological systems
Physiological Origins of
Biosignals
Biomechanical Signals
Produced by the mechanical functions of biological
signals such as:
• motion, displacement, tension, force, pressure,
and flow
Blood pressure measurement
Physiological Origins of
Biosignals
Bioacoustic Signals
Are special subset of biomechanical signals that
involve vibrations (motion)
Respiratory system, joints, and muscles generate
distinct bioacoustic signals
Often measured at the skin using acoustic
transducers such as microphones and
accelerometers
Physiological Origins of
Biosignals
Biooptical Signals
Generated by the optical, or light-induced, attributes
of biological systems
May occur naturally or signals can be introduced to
measure a biological parameter using an external
light medium
Characteristics of
Biosignals
Biosignals can be classified according to various
characteristics:
Waveform Shape
Statistical Structure
Temporal Properties
2 broad classes of signals:
Continuous
Discrete
Characteristics of
Biosignals
Continuous Signals
Defined over a continuum of time or space and are
described by continuous variable functions
Produced by biological phenomena:
• Like voltage measurements from the heart
• Arterial blood pressure measurements
• Measurements of electrical activity from the brain
Characteristics of
Biosignals
Discrete Signals
Defined only at a subset of regularly spaced points
in time and/or space
Commonly used in today’s clinical setting
Continuous signals from human body are converted
to discrete signals that can be analyzed and
interpreted by a computer