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 | |||
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. | ||
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 | |||
algorithms for biosignal processing | 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.