Time and physical dimensions of biosignals: Difference between revisions
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                                                                             Time and physical dimensions of biosignals
                                                                             '''Time and physical dimensions of biosignals'''
Biosignal is a short term for all kinds of signals that can be measur from biological beings. The term biosignal mean bio-electrical signal but it doesnt have to be electrical it also can be non electrical signals as well.Electric, mechanical or chemical signals of biological origin delivered by living
 
things can always be of interest for diagnosis, patient monitoring, and biomedical
Biosignal is a short term for all kinds of signals that can be measure from biological beings. The term biosignal means bio-electrical signal but it doesnt have to be electrical it also can be non electrical signals as well.
research. Such biological signals, namely biosignals, as electrocardiogram (ECG),
 
Electric, mechanical or chemical signals of biological origin delivered by living things can always be of interest for diagnosis, patient monitoring, and biomedical
research.  
 
Such biological signals, namely biosignals, as electrocardiogram (ECG),
electroencephalogram (EEG), surface electromyogram (SEMG), bioacoustic signals
electroencephalogram (EEG), surface electromyogram (SEMG), bioacoustic signals
(lung, heart, and bowel sounds), are usually presented by large amounts of data when
(lung, heart, and bowel sounds), are usually presented by large amounts of data when
digitized for storage and analysis within a signal processing framework. On the contrary,
digitized for storage and analysis within a signal processing framework.  
 
On the contrary,
other medical information, i.e., drug description, demographic and anamnestic data, result
other medical information, i.e., drug description, demographic and anamnestic data, result
in substantially smaller data archives.
in substantially smaller data archives.
biosignals can be categorized to:1. Bioelectric signals, i.e., ECG, EEG, and SEMG.
biosignals can be categorized to:
 
1. Bioelectric signals, i.e., ECG, EEG, and SEMG.
 
2. Bioacoustic signals, i.e., lung sounds (LS), heart sounds (HS), and bowel sounds.
2. Bioacoustic signals, i.e., lung sounds (LS), heart sounds (HS), and bowel sounds.
nformation in biosignals is often depreciated by a disturbance or noise. Therefore
 
Information in biosignals is often depreciated by a disturbance or noise. Therefore
the biosignals have to be properly processed – using a transformation or filtration
the biosignals have to be properly processed – using a transformation or filtration
to extract required information.
to extract required information.
There are a lots of methods and
 
algorithms for biosignal processing, 1-
There are a few methods and
algorithms for biosignal processing : 1-
or 2-dimensional, in time or in
or 2-dimensional, in time or in
frequency distribution.
frequency distribution.

Revision as of 00:38, 16 December 2012

                                                                            Time and physical dimensions of biosignals

Biosignal is a short term for all kinds of signals that can be measure from biological beings. The term biosignal means bio-electrical signal but it doesnt have to be electrical it also can be non electrical signals as well.

Electric, mechanical or chemical signals of biological origin delivered by living things can always be of interest for diagnosis, patient monitoring, and biomedical research.

Such biological signals, namely biosignals, as electrocardiogram (ECG), electroencephalogram (EEG), surface electromyogram (SEMG), bioacoustic signals (lung, heart, and bowel sounds), are usually presented by large amounts of data when digitized for storage and analysis within a signal processing framework.

On the contrary, other medical information, i.e., drug description, demographic and anamnestic data, result in substantially smaller data archives. biosignals can be categorized to:

1. Bioelectric signals, i.e., ECG, EEG, and SEMG.

2. Bioacoustic signals, i.e., lung sounds (LS), heart sounds (HS), and bowel sounds.

Information in biosignals is often depreciated by a disturbance or noise. Therefore the biosignals have to be properly processed – using a transformation or filtration to extract required information.

There are a few methods and algorithms for biosignal processing : 1- or 2-dimensional, in time or in frequency distribution.