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Journal of Medical Engineering & Technology

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https://www.readbyqxmd.com/read/29300116/comparative-analysis-of-classification-based-algorithms-for-diabetes-diagnosis-using-iris-images
#1
Piyush Samant, Ravinder Agarwal
Photo-diagnosis is always an intriguing area for the researchers, with the advancement of image processing and computer machine vision techniques it have become more reliable and popular in recent years. The objective of this paper is to study the change in the features of iris, particularly irregularities in the pigmentation of certain areas of the iris with respect to diabetic health of an individual. Apart from the point that iris recognition concentrates on the overall structure of the iris, diagnostic techniques emphasises the local variations in the particular area of iris...
January 4, 2018: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/29256765/design-characterisation-and-evaluation-of-a-soft-robotic-sock-device-on-healthy-subjects-for-assisted-ankle-rehabilitation
#2
Fan-Zhe Low, Jeong Hoon Lim, Chen-Hua Yeow
Motor impairment is one of the common neurological conditions suffered by stroke patients, where this chronic immobility together with the absence of early limb mobilisation can lead to conditions such as joint contracture with spastic limbs. In this study, a soft robotic sock device was developed, which can provide compliant actuation to the ankle joint in the early stage of stroke recovery. The device is fitted with soft extension actuators and when the actuators are inflated, they extend and guide the foot into plantarflexion; upon deflation, the actuators will resume their initial conformations...
December 19, 2017: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/29251059/epileptic-seizure-detection-using-dwt-based-approximate-entropy-shannon-entropy-and-support-vector-machine-a-case-study
#3
A Sharmila, Suman Aman Raj, Pandey Shashank, P Mahalakshmi
In this work, we have used a time-frequency domain analysis method called discrete wavelet transform (DWT) technique. This method stand out compared to other proposed methods because of its algorithmic elegance and accuracy. A wavelet is a mathematical function based on time-frequency analysis in signal processing. It is useful particularly because it allows a weak signal to be recovered from a noisy signal without much distortion. A wavelet analysis works by analysing the image and converting it to mathematical function which is decoded by the receiver...
December 18, 2017: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/29251031/correlation-between-time-lag-of-arterial-plethysmographic-waveforms-and-systemic-vascular-resistance-a-prospective-study
#4
Radhakrishnan Muthuchellappan, Ramesh V J, Umamaheswara Rao Ganne S, Thennarasu K, Anjana Jacob, Sripathy G, Bhadrinarayan V, Mohanvelu K
Blood pressure (BP), a surrogate of cardiac output (CO), is also dependent on systemic vascular resistance (SVR). But SVR is not routinely monitored in daily clinical practice. We hypothesise that the time difference between the peripheral arterial waveform and the finger plethysmographic waveform (time lag index - TLi) could indicate the systemic vascular resistance. In this study, we correlated TLi with the systemic vascular resistance measured by minimally invasive CO monitor (pulse contour analysis). SVR changes in response to administration of mannitol were studied...
December 18, 2017: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/29188743/a-case-study-on-discrete-wavelet-transform-based-hurst-exponent-for-epilepsy-detection
#5
Saiby Madan, Kajri Srivastava, A Sharmila, P Mahalakshmi
Epileptic seizures are manifestations of epilepsy. Careful analysis of EEG records can provide valuable insight and improved understanding of the mechanism causing epileptic disorders. The detection of epileptic form discharges in EEG is an important component in the diagnosis of epilepsy. As EEG signals are non-stationary, the conventional frequency and time domain analysis does not provide better accuracy. So, in this work an attempt has been made to provide an overview of the determination of epilepsy by implementation of Hurst exponent (HE)-based discrete wavelet transform techniques for feature extraction from EEG data sets obtained during ictal and pre ictal stages of affected person and finally classifying EEG signals using SVM and KNN Classifiers...
November 30, 2017: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/29117768/wavelet-based-feature-extraction-for-classification-of-epileptic-seizure-eeg-signal
#6
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
https://www.readbyqxmd.com/read/29117761/full-driving-soft-robotic-colonoscope-in-compliant-colon-tissue
#7
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
https://www.readbyqxmd.com/read/29111845/pre-clinical-evaluation-of-the-mechanical-properties-of-a-low-stiffness-cement-injectable-hip-stem
#8
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
https://www.readbyqxmd.com/read/29111840/ecg-beat-classification-using-empirical-mode-decomposition-and-mixture-of-features
#9
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
https://www.readbyqxmd.com/read/29076377/investigating-the-performance-of-four-specific-types-of-material-grafts-and-their-effects-on-hemodynamic-patterns-as-well-as-on-von-mises-stresses-in-a-grafted-three-layer-aortic-model-using-fluid-structure-interaction-analysis
#10
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
https://www.readbyqxmd.com/read/29043873/the-use-of-beeswax-as-heating-element-in-non-electric-infant-incubator
#11
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
https://www.readbyqxmd.com/read/29043866/three-dimensional-finite-element-analysis-of-glass-fiber-and-cast-metal-posts-with-different-alloys-for-reconstruction-of-teeth-without-ferrule
#12
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
https://www.readbyqxmd.com/read/29027496/optimizing-usability-and-signal-capture-a-proactive-risk-assessment-for-the-implementation-of-a-wireless-vital-sign-monitoring-system
#13
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
https://www.readbyqxmd.com/read/28994627/mybrain-a-novel-eeg-embedded-system-for-epilepsy-monitoring
#14
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
https://www.readbyqxmd.com/read/28990839/a-review-of-intelligent-systems-for-heart-sound-signal-analysis
#15
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
https://www.readbyqxmd.com/read/28982273/an-enhanced-method-for-real-time-modelling-of-cardiac-related-biosignals-using-gaussian-mixtures
#16
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
https://www.readbyqxmd.com/read/28978243/the-application-of-inertial-measurements-unit-for-the-clinical-evaluation-and-assessment-of-gait-events
#17
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
https://www.readbyqxmd.com/read/28954566/a-simple-encoding-method-for-sigma-delta-adc-based-biopotential-acquisition-systems
#18
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
https://www.readbyqxmd.com/read/28954563/applicability-of-consumer-activity-monitor-data-in-marathon-events-an-exploratory-study
#19
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
https://www.readbyqxmd.com/read/28849957/a-novel-obstetric-medical-device-designed-for-autotransfusion-of-blood-in-life-threatening-postpartum-haemorrhage
#20
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
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