Mallikarjun S. Holi

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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)
Osteoporosis in men and women is increasingly recognised as an important health issue. Bone mineral density (BMD) and bone strength appears to be major determinants of osteoporotic fracture. Measurement of bone strength by ultrasound is found to be a competitive means of measuring osteoporotic fracture risk and provide additional information about bone's(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)
The medial and lateral meniscus of the knee is a crescent shaped cartilage pad between the femur and the tibia bones of knee joint. The meniscus acts as a smooth surface for the joint to move on. It helps in distributing forces of weight on joint surfaces and provides stability by preventing lateral movement of the knee joint. In osteoarthritis (OA) knee(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)
36 Abstract— 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, cochlear nucleus, superior olivery complex and inferior colliculus of the brainstem, and are used in the diagnosis of(More)
The revolution in semiconductor technology has lead to the development of efficient optical techniques for acquisition of biomedical signals which can be used effectively in diagnostics. The interaction of light with biological tissue is complex and includes the optical processes like scattering, absorption, reflection, transmission and fluorescence. The(More)
Automatic detection of neurological disordered subjects voice mostly relies on parameters extracted from time-domain processing. The calculation of these parameters often requires prior pitch period estimation; which in turn depends heavily on the robustness of pitch detection algorithm. In the present work cepstraldomain processing technique which does not(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)
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)