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Journal of Medical Engineering & Technology

A Sharmila, P Mahalakshmi
Electroencephalogram (EEG) signal-processing techniques are the prominent role in the detection and prediction of epileptic seizures. The detection of epileptic activity is cumbersome and needs a detailed analysis of the EEG data. Therefore, an efficient method for classifying EEG data is required. In this work, a constructive pattern recognition strategy for analysing EEG data as normal and epileptic seizure has been proposed. With this strategy, the signals were decomposed into frequency sub-bands using discrete wavelet transform (DWT)...
November 9, 2017: Journal of Medical Engineering & Technology
Kundong Wang, Jiayi Ma, Feng Wang, Zhiwu Wang, Guozheng Yan, Yilu Zhou
Robotic colonoscopy is an efficient examination method for finding malignant tumour in its early stage. This research developed a novel robotic endoscope with 13 mm diameter, 105 mm length and 22.3 g weight. A contact biomechanical model is proposed to increase the locomotion safety and efficiency in the soft tissue. The model shows that the friction difference between the robot and the tissue is a key factor to locomotion capability. A soft, full bellow with excellent compatibility was designed to package the robot body...
November 9, 2017: Journal of Medical Engineering & Technology
Ibrahim Eldesouky, Ola Harrysson, Denis J Marcellin-Little, Harvey West, Hassan El-Hofy
In total hip arthroplasty (THA), the femoral stem can be fixed with or without bone cement. Cementless stem fixation is recommended for young and active patients as it eliminates the risk of loss of fixation at the bone-cement and cement-implant interfaces. Cementless fixation, however, suffers from a relatively high early revision rate. In the current research, a novel low-stiffness hip stem was designed, fabricated and tested. The stem design provided the option to inject biodegradable bone cement that could enhance initial stem stability...
November 7, 2017: Journal of Medical Engineering & Technology
Santanu Sahoo, Monalisa Mohanty, Suresh Behera, Sukanta Kumar Sabut
Computer-aided analysis is useful in predicting arrhythmia conditions of the heart by analysing the recorded ECG signals. In this work, we proposed a method to detect, extract informative features to classify six types of heartbeat of ECG signals obtained from the MIT-BIH Arrhythmia database. The powerful discrete wavelet transform (DWT) is used to eliminate different sources of noises. Empirical mode decomposition (EMD) with adaptive thresholding has been used to detect precise R-peaks and QRS complex. The significant features consists of temporal, morphological and statistical were extracted from the processed ECG signals and combined to form a set of features...
November 7, 2017: Journal of Medical Engineering & Technology
Shahrokh Rahmani, Amin Jarrahi, Mahdi Navidbakhsh, Mansour Alizadeh
One of the important parts of the cardiac system is aorta which is the fundamental channel and supply of oxygenated blood in the body. Diseases of the aorta represent critical cardiovascular bleakness and mortality around the world. This study aims at investigation of hemodynamic parameters in a two-dimensional axisymmetric model of three-layer grafted aorta using fluid-structure interaction (FSI). It assumes that a damaged part of aorta, which may happen as a result of some diseases like aneurysm, dissection and post-stenotic dilatation, is replaced with a biomaterial graft...
October 27, 2017: Journal of Medical Engineering & Technology
Putri Fadhillah Nugraha, Nandy Putra, Bambang Ariantara, Muhammad Amin
Non-electric infant incubators are needed in remote areas that have no access to electricity to reduce infant mortality nationwide. In previous studies, non-electric infant incubators have been developed using phase change material of beeswax as the heating element. This study aims to improve the performance of beeswax non-electric infant incubator to obtain a more reliable and practical one. The design of the original beeswax cartridge in the form of copper boxes was modified into tubes of stainless steel...
October 18, 2017: Journal of Medical Engineering & Technology
Fellippo Ramos Verri, Marlice Hayumi Theles Okumura, Cleidiel Aparecido Araujo Lemos, Daniel Augusto de Faria Almeida, Victor Eduardo de Souza Batista, Ronaldo Silva Cruz, Hiskell Francine Fernandes Oliveira, Eduardo Piza Pellizzer
The aim of this study was to evaluate different materials for restoration of teeth without ferrule by three-dimensional (3D) finite element analysis (FEA). Five models simulating the maxillary central incisor and surrounding bone were simulated according to the type of post: glass fibre post (GFP) or cast metal post (CMP) with different alloys such as gold (Au), silver-palladium (AgPd), copper-aluminum (CuAl) and nickel-chromium (NiCr). Models were designed using Invesalius and Rhinoceros. FEAs were made using FEMAP and NeiNastran, with an applied axial force of 100 N and oblique occlusal load at 45°...
October 18, 2017: Journal of Medical Engineering & Technology
Rebecca Kowalski, Muge Capan, Peter Lodato, Danielle Mosby, Tamekia Thomas, Ryan Arnold, Kristen Miller
Wearable vital sign monitors are a promising step towards optimal patient surveillance, providing continuous data to allow for early detection and treatment of patient deterioration. However, as wearable monitors become more widely adopted in healthcare, there is a corresponding need to carefully design the implementation of these tools to promote their integration into clinical workflows and defend against potential misuse and patient harm. Prior to the roll-out of these monitors, our multidisciplinary team of clinicians, clinical engineers, information technologists and research investigators conducted a modified Healthcare Failure Mode and Effect Analysis (HFMEA), a proactive evaluation of potential problems which could be encountered in the use of a wireless vital signs monitoring system...
October 13, 2017: Journal of Medical Engineering & Technology
Francisco Pinho, João Cerqueira, José Correia, Nuno Sousa, Nuno Dias
The World Health Organisation has pointed that a successful health care delivery, requires effective medical devices as tools for prevention, diagnosis, treatment and rehabilitation. Several studies have concluded that longer monitoring periods and outpatient settings might increase diagnosis accuracy and success rate of treatment selection. The long-term monitoring of epileptic patients through electroencephalography (EEG) has been considered a powerful tool to improve the diagnosis, disease classification, and treatment of patients with such condition...
October 10, 2017: Journal of Medical Engineering & Technology
Mohammed Nabih-Ali, El-Sayed A El-Dahshan, Ashraf S Yahia
Intelligent computer-aided diagnosis (CAD) systems can enhance the diagnostic capabilities of physicians and reduce the time required for accurate diagnosis. CAD systems could provide physicians with a suggestion about the diagnostic of heart diseases. The objective of this paper is to review the recent published preprocessing, feature extraction and classification techniques and their state of the art of phonocardiogram (PCG) signal analysis. Published literature reviewed in this paper shows the potential of machine learning techniques as a design tool in PCG CAD systems and reveals that the CAD systems for PCG signal analysis are still an open problem...
October 9, 2017: Journal of Medical Engineering & Technology
Ali Mohammad Alqudah
Cardiac related biosignals modelling is very important for detecting, classification, compression and transmission of such health-related signals. This paper introduces a new, fast and accurate method for modelling the cardiac related biosignals (ECG and PPG) based on a mixture of Gaussian waves. For any signal, at first, the start and end of the ECG beat or PPG pulse is detected, then the baseline is detected then subtracted from the original signal, after that the signal is divided into two signals positive and negative, each modelled separately then incorporated together to form the modelled signal...
October 6, 2017: Journal of Medical Engineering & Technology
Shiva Sharif Bidabadi, Iain Murray, Gabriel Yin Foo Lee
Foot drop is one of the common gait abnormalities which are difficult to detect, diagnose and evaluate. While various gait monitoring systems are available, many are computationally expensive and difficult to implement outside laboratory environments. This study introduces an in-house designed system based on inertial measurement units to capture the gait symptoms, specifically in the case of foot drop symptoms. The system specification and communication results, as well as filtering methods are discussed. Also, the pitch angle of thigh, shank and foot from a subject with no reported foot problem have been compared (gathered from identical equipment under similar conditions) to the same angle from a foot drop subject...
October 5, 2017: Journal of Medical Engineering & Technology
Federico N Guerrero, Enrique M Spinelli
Sigma Delta analogue-to-digital converters allow acquiring the full dynamic range of biomedical signals at the electrodes, resulting in less complex hardware and increased measurement robustness. However, the increased data size per sample (typically 24 bits) demands the transmission of extremely large volumes of data across the isolation barrier, thus increasing power consumption on the patient side. This problem is accentuated when a large number of channels is used as in current 128-256 electrodes biopotential acquisition systems, that usually opt for an optic fibre link to the computer...
September 28, 2017: Journal of Medical Engineering & Technology
Valentino Constantinou, Ashley E Felber, Jennifer L Chan
Emerging opportunities to measure individual and population-level health data with activity monitors during recreational running activities may set the stage for new research possibilities in mass participation running events and marathon medicine. This study explores the applicability of consumer activity monitor data in a preliminary study for future marathon health research with a cohort of 12 (n = 12) participants completing a 3.379 km walking or running course. This study explored the feasibility of collecting pace and distance data from Fitbit brand consumer activity monitors, from access to user data to reporting of data characteristics and data analysis...
September 28, 2017: Journal of Medical Engineering & Technology
Gardner Yost, Brandon Collofello, Gelila Goba, Abigail Koch, Amanda Harrington, Hananeh Esmailbeigi, Nuriya Robinson, Pamela Kutz-McClain, Stacie Geller, Valerie Dobiesz
Postpartum haemorrhage (PPH) is an obstetric emergency caused by excessive blood loss after delivery, which is the leading cause of maternal mortality worldwide. PPH can lead to volume depletion, hypovolemic shock, anaemia and ultimately death. The prevalence of PPH is disproportionately higher in low resource settings where there is limited access to skilled medical care and safe blood supplies. Current management strategies target both prevention and treatment of PPH however no alternatives currently exist to address the lack of safe blood supplies which are considered essential in emergency obstetrical care...
August 29, 2017: Journal of Medical Engineering & Technology
Koichi Fukuda, Masayuki Ishihara, Kaoru Murakami, Shingo Nakamura, Yoko Sato, Masahiro Kuwabara, Masanori Fujita, Tomoharu Kiyosawa, Hidetaka Yokoe
Application of a high-velocity steam-air micromist jet spray (HVS-AMJS; micromist average diameter: 2.4 μm) for cleansing the skin is proposed. Low-pressure steam is mixed with compressed air (pH 6.5) in a nozzle, and then sprayed at a pressure of ≦0.25 MPa and a velocity of ≧0.34 m/s on the skin or surface of material located approximately 5-10 cm from the nozzle. The temperature on the sprayed surface and water flow rate could be controlled between 42 °C and 46 °C and at approximately 50 mL/min, respectively...
August 29, 2017: Journal of Medical Engineering & Technology
Syrpailyne Wankhar, George M Srampickal, Anil Mathew, Binu P Thomas
Assessment of elbow flexion strength is an important component of upper limb neurological examination and is necessary for patient screening, planning of surgical interventions and rehabilitation. Medical Research Council (MRC) Scale is the most widely used method for grading muscle strength. The major drawback of MRC grading is that it is observer dependent and imprecise. A quantitative measure of elbow flexion strength is an objective measure that eliminates such bias. Several instruments have been developed for quantifying the elbow flexion power...
August 29, 2017: Journal of Medical Engineering & Technology
Alireza Karimi, Ahmad Shojaei, Pedram Tehrani
Gallbladder is a small organ of the body which is located in the right side of the liver. It is responsible of storing the bile and releasing it to the intestine. The gallbladder can subject to the mechanical deformation/loading as a result of the cholecystitis, cholesterolosis of the gallbladder, etc. However, so far the mechanical properties of the human gallbladder have not been measured. This study was aimed at conducting an experimental study to measure the mechanical properties of the human gallbladder under the axial and transversal tensile loadings...
August 29, 2017: Journal of Medical Engineering & Technology
Mohammad A Al-Jarrah, Hadeel Shatnawi
Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in most countries. The increasing number of people with diabetes worldwide suggests that DR will continue to be major contributors to vision loss. Early detection of retinopathy progress in individuals with diabetes is critical for preventing visual loss. Non-proliferative DR (NPDR) is an early stage of DR. Moreover, NPDR can be classified into mild, moderate and severe. This paper proposes a novel morphology-based algorithm for detecting retinal lesions and classifying each case...
August 8, 2017: Journal of Medical Engineering & Technology
Jordi Esquirol Caussa, Cristina Palmero Cantariño, Vanessa Bayo Tallón, Miquel Àngel Cos Morera, Sergio Escalera, David Sánchez, Maider Sánchez Padilla, Noelia Serrano Domínguez, Mireia Relats Vilageliu
INTRODUCTION: Sleep surfaces must adapt to individual somatotypic features to maintain a comfortable, convenient and healthy sleep, preventing diseases and injuries. Individually determining the most adequate rest surface can often be a complex and subjective question. OBJECTIVES: To design and validate an automatic multimodal somatotype determination model to automatically recommend an individually designed mattress-topper-pillow combination. METHODS: Design and validation of an automated prescription model for an individualised sleep system is performed through a single-image 2 D-3 D analysis and body pressure distribution, to objectively determine optimal individual sleep surfaces combining five different mattress densities, three different toppers and three cervical pillows...
July 21, 2017: Journal of Medical Engineering & Technology
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