Special Issue "Application of Signal Processing Methods for Systematic Analysis of Physiological Health"
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: closed (20 January 2017).
Interests: biomedical signal processing; bioimaging; data mining; visualization; biophysics for better health care design; drug delivery and therapy
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Various physiological signals generated from different organs of our body are electroencephalogram (EEG), electrocardiogram (ECG), heart rate variability (HRV), magnetoencephalogram (MEG), electromyogram (EMG), phonocardiogram (PCG), blood pressure, blood glucose, speech, photoplethysmogram (PPG), respiration, etc. These bio-signals carry vital information about the health of corresponding organs. Similarly, any ailment in our organs can be visualized by using different modality images, such as X-ray, magnetic resonance imaging (MRI), computerized tomography (CT), Single photon emission computed tomography (SPECT), Positron emission tomography (PET), fundus and ultrasound images, etc., belonging to various body parts to obtain useful information. This demands advanced signal processing techniques to unearth the hidden information present in these signals, which are difficult to observe through the naked eye.
Application of such novel signal processing methods to the physiological signals and medical images will aid clinicians in the accurate fast diagnosis and help to improve patient quality of life. Thus, this Special Issue, entitled “Application of Signal Processing Methods for Systematic Analysis of Physiological Health”, focuses on new techniques that can be used to improve disease diagnosis and wellness.
U Rajendra Acharya
Manuscript Submission Information
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