Preliminary results indicate that with well-chosen feature extraction, and modeling approach an identification rate of up to 97.9592% is achievable This paper proposes a vector quantization (VQ) and Gaussian mixture model (GMM) for modeling electromyogram (EMG) signal. A direct connection between muscle, central nervous system and brain is unique to an… (More)
The characteristics of speech and voice in neurological diseases, such as, Parkinson's disease (PD), cerebellar demyelination, senile disease and stroke, have a realistic potential to provide information for early detection of onset, progression, and severity of these diseases. There are no risks involved in capturing and analysis of voice signals as it is… (More)
Knee is a complex and articulated joint of the body. Cartilage is a smooth hyaline spongy material between the tibia and femur bones of knee joint. Cartilage morphology change is an important biomarker for the progression of osteoarthritis (OA). Magnetic resonance imaging (MRI) is the modality widely used to image the knee joint because of its hazard free… (More)
In the present work, appearance-based face recognition method called the Laplacian face approach is used. The face images are mapped into a face subspace for analysis by using Locality Preserving Projections(LPP). The technique is different from Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) which effectively see only the… (More)
Brainstem auditory evoked responses (BAERs) are the evoked potentials which are recorded in response to an auditory stimulus from electrodes placed on the scalp. They reflect neuronal activity in the auditory nerve pathway from cochlea of inner ear to brainstem, and are used in the diagnosis of neurological diseases leading to hearing loss. In the present… (More)
Since last decade, the diabetes risks are increasing in children and adults. Various approaches have been proposed for early detection of the diabetes and prevention on it. Some methods use EMG signals for diabetes classification, due to motion artifacts in the EMG signals during acquisition of signal, these approaches are not able to classify the signal… (More)
Physiological signals like Electrocardiogram(ECG) and Electroencephalogram(EEG), including deoxyribonucleic acid(DNA) are person specific and distinct for different persons. The motor unit firing pattern, motor unit recruitment order and characteristics of muscle changing from person to person, and therefore Electromyogram (EMG) can be used for person… (More)
Presents an index of the authors whose articles are published in the conference proceedings record.