34 research outputs found
Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
No full textA medical decision support system (DSS) is designed to assist clinician in monitoring
patient’s health by the means of providing reminders, advice as well as interpretation.
This system is good enough in the sense of monitoring patient’s health and improves the early prevention by the means of providing ‘just-in-time’ notifications for the best action to be taken. In Biomedical System Laboratory (BSL) of UNSW, there is a system as such
described that provides information on the patient’s conditions based on the risk they
may have by analyzing the data entered in the database. But there is a need to improve
current system to increase their performance. Score generated by the DSS is compared
with the journal on patient’s conditions entered manually by medical personnel. The
objective is to see the reliability of the score generated by the DSS. Unfortunately, due to
some problems on the data, the outcome of this study can’t be used for reference.
However, the method used can be repeated but with a better database storing the patient’s
information
Surface Electromyography signal processing and application: a review
No full textOrganized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.Electromyography (EMG) is a study of muscles
function through analysis of electrical activity produced from muscles. This electrical activity which is displayed in form of signal is the result of neuromuscular activation associated with
muscle contraction. The most common techniques of EMG signal recording are by using surface and needle/wire electrode
where the latter is usually used for interest in deep muscle. This paper will focus on surface electromyography (SEMG) signal. During SEMG recording, several problems had to be encountered such as noise, motion artifact and signal instability. Thus, various signal processing techniques had been implemented to produce a reliable signal for analysis. There are
also broad applications of SEMG signal particularly in biomedical field. The SEMG signal had been analyzed and studied for various interests such as neuromuscular disease, enhancement of muscular function and human-computer interface.Technical sponsored by IEEE Malaysia Sectio
Finite element analysis of tibia with osteogenesis imperfecta: the influence of considering cancellous bone in model reconstruction
No full textThe paper aims to develop the finite element (FE)
models of tibia with Osteogenesis Imperfecta (OI) based on a patient-specific computed tomography (CT)-images. Two types of FE model have been developed. The first model was set the tibia bone as a single solid model whereas the second model consists of cortical bone and cancellous bone. The developed FE models were used for FE analysis using Voxelcon under various loadings, and then the results of the different models were
compared. It was found that the single model yields relatively in agreement to piecewise model, with percentage different of below than 2% for all loading conditions. It seems that the reconstructed FE model considering the cancellous bone did not give significant effect compared to the solid model that neglecting the microstructure of cancellous bone. Hence, we can
conclude that the single solid FE model with OI has predicted well, at least for the present boundary conditions, although the cancellous bone was neglected in the model reconstruction
Development of a mobile patient data management system using ASP .Net
No full textWorld Congress on Medical Physics and Biomedical Engineering 2006 at Seoul, Korea on 27 August 2006 until 1 September 2006. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2259/The primary aim of this study is to look into the feasibility of developing a mobile patient data management system using ASP .Net technology. It was envisioned that medical personnel, by using any WAP-enabled devices, will not be restricted to a specified location in order to retrieve, add, or edit patient data. The current system has achieved its main objectives of adding and editing patient demographical data, medical prescription, medical images and graphs. The system has been designed to be backward and forward compatible; ensuring unlimited module expansion in the future
