Day 2 :
Keynote Forum
Bhanu Bahl
Director for Informatics Program at Harvard Medical School, USA
Keynote: EHR data querying network for advancing patient cohort discovery
Time : 10:00-10:40
Biography:
Bhanu Bahl is Director for Informatics at Harvard Clinical and Translational Science Center. She is Director of the eagle-i semantic-search platform facilitating discovery of biomedical resources for translational science research across 38 academic/ not-for profit institutions. Bhanu is also director of software Quality Assurance Shared Services (QASS) at Harvard Catalyst supporting manual and automation QA needs for +37 informatics projects leveraging Best practices, technology and process optimization. She is also director of Shared Health Research Information Network(‘SHRINE’), a federated query application, which provides investigators the ability to perform population based research and feasibility studies across multi-hospital institutions. rnBhanu is a physician with a broad informatics background and has over 15 years of experience in overseeing technology projects in clinical and biological data repository; master data management; data standards; and content management.rn
Abstract:
Patient Cohort discovery, data sharing, and integration across multiple healthcare institutions is a challenge. Accrual of sufficient numbers of patients for rarer diseases clinical trials further compounds the challenge. The barriers arise due to variability in the source electronic health record (EHR) systems, in semantic interoperability and consistency of data elements, and in governance and regulatory policies across institutions. The Shared Health Research Information Network (‘SHRINE’), a Harvard Catalyst’s open source application, provides investigators with the ability to perform population based research and feasibility studies across multi-hospital institutions. The SHRINE web-based query tool returns aggregate numbers of patients across all sites with user-defined characteristics, currently demographics, diagnoses, medications, and selected lab values. The project leverages the use of the Informatics for Integrating Biology and the Bedside (‘i2b2’) Hive software, an open source scalable informatics framework, which enables a common platform and clinical data model at each institution to be networked across the web. Using federated search architecture, real-time queries can be performed across collaborating institutions, each with their own locally managed patient datasets. An example of SHRINE network is the Harvard Medical School affiliated participating institutions: Beth Israel Deaconess Medical Center, Brigham and Women’s Hospital, Children’s Hospital Boston, and Massachusetts General Hospital. Over 5.0 million patients, 890 million facts, and 4 categories of over 18,000 terms make up this instance of SHRINE.
Keynote Forum
Diego F Villegas
Associate Professor in Mechanical Engineering.
Keynote: Loss of handgrip force due to emulated finger amputations
Time : 10:40 – 11:20
Biography:
Diego F Villegas is an Associate Professor in Mechanical Engineering. He obtained his PhD degree 4 years ago from Michigan Technological University. He has about 8 years of experience in the biomedical field, working on experimental and computational biomechanics. He has published about 6 articles in reputed biomedical journals. He is currently running undergraduate and graduate projects on prosthesis, orthosis, medical devices using computational and analytical tools.
Abstract:
Hands are strongly associated with sense of touch. Finger allows the hand to perform a lot of different activities. Therefore, losing part of a finger will change the biomechanics of the grip (Smith, 2007). Finger amputation is a surgical procedure to remove the phalanx involve in a trauma, which most of the time is a result of accidents. The motivation for this study was the difficulty of finding a group of finger amputees with different type of finger amputation. Then, this study seeks to establish the combination of finger amputation which is more critical in terms of losing handgrip force. Total finger amputation was not considered in this study. A cylindrical mechanical device was designed and built to emulate different eleven different combinations of finger amputations. It consists of eight gates which open by means of a motorized gear depending of what combination will be used to emulate amputated phalanx. A total of 10 adult subjects (five women, five men), right-handed, average height and weight, palm length less than 112 mm were used for this study. Subjects with muscular lessons, amputations, or any physical problem in hands or forearm did not participate on this study. Although several studies have found the force on each phalanx, or loss of handgrip in natural finger amputations, none of them had emulated finger amputations. Our results strongly agree with those found by Kong (Kong, 2005). Men handgrip force was found to be greater than women. However, handgrip force is reduced in 62% and 48.55% for men and women respectively in a combination including the distal and middle phalanx for index and middle fingers. Some of the results were expected and agree with previous studies. Notice that finger amputations in men are more critical than women, which suggest gender differences in hand biomechanics. This study will aid in the development of finger prosthesis, and hand rehabilitation.
- Track 1: Clinical and Diagnostic medical devices Track 3: Computational Biological systems for modeling biological process Track 5: Rehabilitation Engineering and Surgical Devices Track 6: Applications of Biomedical Engineering Track 9: Diagnostic Techniques in Dermatology and Cosmetic Dermatology
Chair
Bhanu Bahl
Director for Informatics Program at Harvard Medical School, USA
Session Introduction
Riad Taha Al-kasasbeh
Professor at Al-Balqa University
Title: Bioengineering System for Prediction and Early Prenosological Diagnostics of Stomach Diseases Based on Energy Characteristics of bioactive Points with Fuzzy Logic
Time : 11:40-12:10
Biography:
Riad Taha Al-Kasasbeh has received his MS in Engineering Science and PhD in Controlling of Biological and of Electronic Equipments. Currently, he is a Professor at Al-Balqa University. He is a member of professional organisations, an auditor for quality of research and education and co-author of over 40 papers (Editions: Springer, IEEE, France Taylor, IASTED, etc.). He is also a Visiting Professor along with other universities like Philadelphia University and Konstanz University (HTWG), Germany. He was a Research Fellow of DFG at (HTWG). His research interests include biomedical engineering, biophysics, acupuncture, fuzzy logic decision-making, medical and ecology information systems. He has published several papers in scientific journals of applied sciences and technology.
Abstract:
We apply mathematical models for the interaction of the internal and biologically active points of meridian structures. Amongst the diseases for which reflex diagnostics are effective are those of the stomach disease. It is shown that use of fuzzy logic decision-making yields good results for the prediction and early diagnosis of gastrointestinal tract diseases, depending on the reaction energy of biologically active points (acupuncture points). It is shown that good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained by using fuzzy logic decision-making Biography
Mawia A. Hassan
Sudan University of Science & Technology, Khartoum, Sudan
Title: A Comparison between windowing FIR Filters for Extracting the EEG Components
Time : 12:10-12:40
Biography:
Mawia A. Hassan received his B.Sc. degree from the Biomedical Engineering department at Sudan University of Science & Technology in 2002. He recived his M.Sc. & Ph.D. degrees from the Biomedical Engineering department at Cairo University in 2007 and 2011 respectively. He is currently the head of Biomedical Engineering Department at Sudan university of Science & Technology. His research interests include medical imaging processing, analysis in particular MRI and ultrasound imaging, and multidimensional signal processing for biomedical applications
Abstract:
Electroencephalogram (EEG) is a test used to detect abnormalities related to electrical activity of the brain. In this work different finite impulse response filter (FIR) windows methods were used to extract EEG signal to its basic components (Delta wave, Theta wave, Alpha wave and Beta wave). The comparison between these windowing methods were done by computing the Fourier transform, power spectrum, SNR, the main-lobe, and the side-lobe. The results show the best main-lobe is for rectangular window, the best side-lobe is for Kaiser β (12) and the best SNR is for Hanning. Also the best window according to main-lobe, side-lobe and SNR is Kaiser β (12).
Nien-Du Yang
National Sun Yat-sen University, Taiwan
Title: An adaptive numerical algorithm with oversizing prevention for computation of cardiac action potential simulations
Time : 12:40-13:10
Biography:
Nien-Du Yang is a second-year M.S student of Institute of Medical Science and Technology at National Sun Yat-sen University in Taiwan. He received his B.S degree in Electrical Engineering at National Sun Yat-sen University in 2013. His research focuses on the construction of endothelial-cell simulation model, and is currently in collaboration with a research group in the Center for Lipid Biosciences (CLB) at Kaohsiung Medical University Hospital.
Abstract:
In biological modeling, multi-dimensional cardiac action potential (AP) simulations require a considerably huge amount of computational time and memory. To address this issue, the development of a faster algorithm with better efficiency is needed. Here we propose a new adaptive numerical algorithm that can reduce computational time as well as perform AP simulations with high accuracy and system stability. In our algorithm, proper time-steps are primarily arranged by solving a quadratic formula of the first derivative of the cardiac membrane potential. In addition, functions are included in our algorithm in order to improve numerical accuracy and system stability. A function is applied to prevent time-steps from oversizing and can consequently help to avoid the shape distortion of cardiac action potentials and increase computational stability during consecutive stimulus. We conducted numerical experiments based on the LR (Luo-Rudy) phase 1 model and the LRd (Luo-Rudy dynamic) model of the cardiac ventricular action potential. The results showed that the generated cardiac action potentials using the proposed algorithm have a smaller error at peak values (Vmax), and can speed up the computation. Compare to the conventional hybrid method (Rush-Larson method with various time steps), the proposed algorithm is more accurate and can significantly reduce the computational time.
Victor I Sevastianov
Ministry of Health of the Russian Federation, Russia
Title: ECM mimetics: Biopolymer microheterogeneous hydrogels for tissue engineering and regenerative medicine
Time : 14:00-14:30
Biography:
Victor I Sevastianov is the Head and Professor in Department for Biomedical Technology and Tissue Engineering from Shumakov Research Center of Transplantology and Artificial Organs of Moscow, Russia. He participated as a speaker in many conferences and presented keynote speeches in International conferences.
Abstract:
One of the actual problems of tissue engineering and regenerative medicine is the search for biocompatible materials having the desired properties. The goal of the conducted studies was proof of the effectiveness of injectable biopolymer microheterogeneous hydrogels (IBMH): An independent implantable system to replace soft tissue defects including the stimulation of the regenerative processes of patient’s own tissues; as a delivery system for the transplantation of cells and a temporary scaffold and a nutritive media while creating the tissue-engineered constructs. Compositions of IBMH were obtained from the hydrolysate of embryonic or postnatal tissues of animal using technology of ultra-dispersion hydrogels with subsequent radiation crosslinking. The IBMH contains practically all high- and low molecular weight components of extracellular matrix, namely, partially hydrolyzed collagen peptides, proteoglycans, and glycoproteins. By varying the composition and size of the microparticles of crosslinked hydrolysate from 30 μm to 300 μm, and the ratio of solid and liquid phases, was established linear range of the IBMH with different rheological properties and time of bioresorption (from several weeks to several months). Using AFM analysis of microparticles IBMH the porous structure of particles with a pore size of 2-4 μm was found, which is a positive property in the processes of neovascularization and neoinnervation into the tissueengineered constructs based on the IBMH. The results of experimental studies on the creation of cell-engineering constructs of cartilage tissue, liver and pancreas reveal about the ability of the IBMH long time to support the activity of the cells, including the processes of proliferation, differentiation, and synthesis of own ECM, which gradually replaces by resorbed ECM mimetic.
Nupur Karmaker
Gono Bishwabidyala, Bangladesh
Title: Kinematic analysis of human gait for typical postures of walking, running and cart pulling
Time : 14:30-15:00
Biography:
Nupur Karmaker has done her B Sc in Biomedical Engineering and M Sc in Medical Physics, Heidelberg University, Germany. She is a Teaching Assistant for the Dept. of Medical Physics and Biomedical Engineering at Gono Bishwabidyala, Bangladesh.
Abstract:
The purpose of gait analysis is to determine the biomechanics of the joint, phases of gait cycle, graphical and analytical analysis of degree of rotation, analysis of the electrical activity of muscles and force exerted on the hip joint at different locomotion during walking, running and cart pulling. Visual gait analysis and electromyography method has been used to detect the degree of rotation of joints and electrical activity of muscles. In cinematography method, an object is observed from different sides and takes its video. Cart pulling lengths have been divided into frames with respect to time by using video splitter software. Phases of gait cycle, degree of rotation of joints, EMG profile and force analysis during walking and running has been taken from different papers. Gait cycle and degree of rotation of joints during cart pulling has been prepared by using video camera, stop watch, video splitter software and Microsoft Excel.
Swarna Rubhini J
Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, India
Title: Telemetery based medical diagnosis
Time : 15:00-15:30
Biography:
Swarna rubhini is currently working as a professor in department of Electrical and Electronics Engineering of Vel Tech Multi Tech DR.SR College of Engineering in Chennai from India. Her interest is in Telemetry based medical diagnostic devices and treatment
Abstract:
In today’s world, though there has been a boom in the medical industry, timely help for people at all a corner of the world is still a far-fetched reality. Various technologies can be made use of to diagnose even the most complex diseases and symptoms. However, this does not equal the need-of-the-hour medical attention. There has been many situations where people who are in real need of medical assistance. Even though there are help-lines established, their diagnosis might not be accurate without the actual medical parameters. The devices and equipment used for monitoring even the most basic parameters like ECG, heart rate, are bulky and non-portable. Moreover, they are expensive and needs delicate handling measures. Our project aims to help the rural areas where a medical establishment is practically absent. It consists of a simple portable kit which contains sensors which have been fabricated at a lower cost, along with a transmission unit. The sensors when placed on the person’s body will monitor its specific parameter for a fixed time-frame. The results are then digitally transmitted to a BPO or to a doctor via GSM technology. The main idea of our project is to provide medical diagnosis to every part of our country, using very cost effective materials and equipment. This will hence attempt to connect the remotest parts of the country with a vital medical assistance at that minute when it is required.
Majid Ghassemi
KNT University of Technology, Iran
Title: Numerical investigation of wall elasticity effects on blood flow and low density lipoprotein mass transfer in carotid bifurcation
Time : 15:30-16:00
Biography:
Majid Ghassemi is a Professor of Mechanical Engineering Department at the K. N. Toosi University of Technology; one of the most prestige’s technical university in Tehran, Iran. He is currently a Visiting Professor at the Centre for Hydrogen and Fuel Cell Research at the University of Birmingham. He teaches graduate and under graduate courses and conduct research in the area of heat transfer and its application in drug delivery, fuel cell and alternative energy. He has over 20 years of academic and industrial experience and served as the President of the K. N. Toosi University of Technology from 2010 through 2013. He has also served in several public and private boards and panels and supervised several undergraduate, masters and PhD students published several books and many journal and conference papers. He is currently an Editor-in-Chief of the International Journal of Prevention and Treatment and Managing Editor of the American Journal of Mechanical Engineering (AJME) as well as Editorial Board Member for many international journals. He received his PhD in Mechanical Engineering from Iowa State University in 1993.
Abstract:
In modern countries cardiovascular diseases are one of the most prevalent death reasons, among which atherosclerosis is the most common one. Depending on atherosclerosis plaque formation locations, Temporary Ischemic Attack (TIA) and heart or brain stroke may occur. It seems wall motion plays a major role in alteration of flow and Low Density Lipoprotein (LDL) accumulation. The purpose of the current study is to investigate the wall elasticity effects on flow and LDL mass transfer inside the carotid bifurcation. So the carotid bifurcation artery modeled as solid, linear elastic and Rubber-Like material (Mooney-Rivlin). The blood is modeled as Carreau fluid and a pulsatile flow applied as Common Carotid Artery (CCA) inlet. Also Fluid Structure Interaction (FSI) transient analysis is performed. The wall elasticity effects on the flow are presented in three-time steps; early systole, end systole and end diastole. Results show that linear elastic and rubber-like models, predict very similar blood flow fields however wall behavior is different in each model. Results show for large arteries like carotid bifurcation, solid wall model is not adequate , Rubber-Like model (Mooney-Rivlin) are the best arterial wall model and linear wall elastic model is in second place.