Preliminary study on sleep monitoring system configuration toward an optimal ambient condition setting on the quality of sleep

Sleep is a form of rest and getting enough sleep at the right times with suitable surrounding conditions is very important to maintain good health throughout life. The study aims to develop the end-user prototyping for a sleep monitoring system that measures the room ambient and body condition by using a wireless device utilizing Bluetooth Low Energy (BLE) embedded system. For the user interface, the Window application is used to display the collected data from separate ambient parameters and body condition embedded systems using Bluno Uno and Bluno Nano respectively. This sleep monitoring system also equipt with a video and audio based recording from the web camera and microphone of the built-in PC based unit. Capturing data from body monitoring and ambient monitoring separate units are then transferred to the Window based application by using the BLE connection and lastly, the captured data are log into the MySQL database with the date and time stamp. The ambient condition system captured the room temperature and humidity, light intensity and rate of CO2 concentration. The body condition system, it is measuring body temperature, heart rate and body movement. Based on the device testing on sleep monitoring, each of the parameters measured is optimized to choose the best possible occurrence of ambience setting selection for optimal sleep quality.

Load bearing analysis on Lumbosacral Disc in Pre-operative and Post-operative Thoracic Scoliosis Patient

Scoliosis is a musculoskeletal disorder seen all around the world. It affects both the alignment of the vertebra and intervertebral disc. Scoliosis can be treated conservatively with a cast and brace or surgically with spinal instrumentation. During planning for surgical instrumentation, several factors need to be considered. Among those, biomechanical changes in the non-scoliotic vertebrae and discs are important. This is vital in determining the future degenerative changes of the spine. For this reason, this study was conducted with a finite element model of the lumbosacral joint using CT scan files to find the total deformation and equivalent static strain of the lumbosacral disc between pre and post-operative thoracic scoliosis patient. From the results, it is evident that there is a biomechanical change in the lumbosacral disc and structural change in the vertebral alignment followed immediately after corrective surgery. The correction in the alignment of the scoliotic spine brings changes to the biomechanical functionality and load-bearing capacity of the lumbosacral intervertebral disc before and after surgery.

Numerical simulation of blood flow in Cerebral aneurysms using two-phase model

ABSTRACT: Computational fluid dynamic (CFD) simulation techniques have played an essential role in simulating and understanding the initiation, growth, and rupture of cerebral aneurysms. Hemodynamic parameters are mainly used to examine the rupture risk status of cerebral aneurysms using blood flow CFD simulation. Blood was considered as single-phase flow model with both Newtonian and non-Newtonian to predict the rupture risk analysis. However, to better understand predicting the risk of cerebral aneurysm rupture, blood requires two-phase, such as plasma and red blood cells (RBCs), also known as erythrocytes. In this study, the two-phase blood flow model was solved by the discrete phase model (DPM) with Lagrangian approach, in which blood was modeled two-phase fluid as a continuous phase plasma and particulate phase RBCs. Three patient-specific aneurysm geometries have been selected to determine wall shear stress (WSS), oscillatory shear index (OSI), and relative residence time (RRT) with two-phase blood flow simulation. To analyze the velocity distribution inside the aneurysms, velocity streamlines and surface velocities were reported. The pulsatile blood flow simulation was performed for aneurysm geometries, where the mean inlet Reynolds number was calculated between 490 and 1370. The value of WSS, OSI, and RRT was quantified based on the Reynolds number. Reynolds number's minimum value indicates the low WSS, low OSI, and short RRT, and the maximum value of Reynolds number shows the high WSS, high OSI, and long RRT. The high WSS, high OSI, and long RRT, velocity streamlines distribution, surface velocity changes were determined with two-phase blood in aneurysm geometries, aneurysm geometry one and three are the medium and giant size saccular aneurysm may have a higher risk of rupture while aneurysm geometry two is medium size fusiform aneurysm has a lower risk of rupture. The two-phase blood flow model presents reasonable hemodynamic parameters that correlate with aneurysms rupture risk prediction.

Application of digital signal processing and machine learning for Electromyography: A review

This paper reviewed the Application of Digital Signal Processing (DPS) and Machine Learning (ML) for Electromyography (EMG) by previous studies. There is a need of the DSP and ML application into the EMG study to classify the signal in order to minimize the EMG noise of signal and the EMG signal characteristic. The common techniques analysis of signal processing is disccussed and compared to identify the best techniques used in order to process from raw data of EMG signal info EMG signal analysis, then some types of machine learning is discussed to identify which types of machine learning have gave the best performance of EMG signal identification and signal characteristic with the highest percentage of the accuracy and efficiency. Digital signal processing and the technique of signal analysis and machine learning for classification method in order to provide the best method and classification for EMG signal.

Musculoskeletal disorder analysis-advanced in medical technology: review

Musculoskeletal disorders (MSDs) are widespread through the world and are the second most common cause of disability in work setting. There are many method used to analyse MSDs to know the reality situation and affacted to the employess The review is to compare in terms of design, methodology, approach and identify the equipment and method used from the previous researchers that have many advantages dan disadvantage of the method to come out the best suggestion of equipment and method proper to used and improvement that should be do for the future researchers. The relevant literature was obtained from the following strategy. Kerwords were idenfied after a scoping study into the some types of MSDs analysis by focusing on the equipment and method. A number of articles between 2010-2021 were extracted from Google Scholar database using keywords of “musculoskeletal disorders analysis”, “ergonomics analysis” and “ MSD identification”. The study found that most of the method in MSD more focus on the Questionnare as the Method of data in analysis for MSD. However, it is more to after injuries of MSDs happened, but not focusing on method to avoid the MSD form happed. Thus, this paper provide the suggestion preventive strategies for the futures researcher to go futher in MSD to tackle the improvement before real MSDs happedned.