Biomedical subjects

D K Kumar

Publications and source records attributed to D K Kumar.

5 recordsLinked to original sources

PubMed2001

Medical e-commerce for regional Australia.

The residents of rural and regional Australia have less access to health care services than in capital cities. There is a reluctance of General Practitioners to practice in the country. New information technology and government initiatives are now addressing this problem. High bandwidth videoconferencing is now being routinely used to provide psychiatric consultations to areas without this service. But this (like many other implementations of telecommunication technologies to health) has resulted in loss of revenue to regional Australia while benefiting capital cities. Thus, the current implementation of telecommunication technology to health has resulted in loss of revenue of the regions while increasing the bias towards the cities. Further, the system is not economically viable and requires the Government to inject funds for the smooth operation of the system. This paper proposes the use of telecommunication technology for enabling the communities of regional Australia to access health facilities via physical and virtual clinics. The proposed technique is self supporting and is based in the country with the intent to prevent the drain of resources from regional Australia. The technique attempts to eradicate the problem at the root level by providing a business opportunity that is based in and to cater for the needs of the remote communities. The proposed system would provide health services by physical and virtual clinics and while serving the communities would be profit centres- and thus attracting doctors and other resources to the remote communities.

Australia↗

PubMed2001

Wavelets for QRS detection.

This paper examines the use of different wavelet functions for QRS complex detection in ECG. Wavelets provide time and frequency analysis simultaneously and offer flexibility with a number of wavelet functions with different properties available. This research has examined wavelet functions with different properties to determine the effects of orthogonality and time/frequency compactness of the wavelet on the ability to correctly detect the QRS. The error in detection (false negatives and positives) is the criterion for determining the efficacy of the wavelet function. The paper reports a significant reduction in error in detection of QRS complexes with mean error reduced to 0.75%. It also reports that wavelet functions that support symmetry and compactness provide better results.

Electrocardiography↗

PubMedDate not supplied

Neural networks and wavelet decomposition for classification of surface electromyography.

To determine the status of a muscle, surface electromyography (SEMG) is a useful tool being non-invasive and easy to record. Clinicians are able to classify the signal visually but because of the large number of parameters of the signal, automatic classification becomes difficult. This paper reports our efforts at using wavelet transforms to process the signal before using neural networks for classification. We have found that by using specific wavelet functions and at specific levels of decomposition, the features of the signal correlating with muscle status were highlighted.

Action Potentials↗

PubMedDate not supplied

Classification of dynamic multi-channel Electromyography by Neural Network.

Muscles are responsible for movement of the limbs. Muscle contraction is accompanied by electrical activity that is measurable and is the Electromyography (EMG) recording. Due to the complex nature of the signal, detailed analysis and classification is often difficult, especially if the EMG relates to movement. This paper reports the research to determine features of the multi-channel EMG signal recording that correlate with the movement of the hand of the subject. Different processing techniques are reported. It demonstrates integral of the RMS of the signal correlates best with the movement.

Electromyography↗

PubMedDate not supplied

The influence of Inter-Electrode Distance on the RMS of the SEMG signal.

The aim of this research was to study the dependency of RMS of SEMG on inter-electrode distance. A group of ten healthy subjects (five males and five females) performed isometric elbow flexions of the right arm at 20, 50 and 80% of their maximal voluntary contraction (MVC). The SEMG signal was recorded using surface electrodes placed at a distance of 18 and 36 mm over the biceps brachii muscle. RMS-SEMG signals were analysed for average amplitude. At 20% MVC, no significant change was observed on the RMS value due to the spacing of the electrodes. The effect, however, was significant at 50 and 80% of MVC. Moreover, the study shows that SEMG amplitude is closely related to the level of force.

Adult↗