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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
Held since 1992, the IEEE Haptics Symposium (HAPTICS) is a vibrant interdisciplinary forum where psychophysicists, engineers, and designers come together to share advances, spark new collaborations, and envision a future that benefits from rich physical interactions between humans and computers, generated through haptic (force and tactile) devices.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...
IEEE Engineering in Medicine and Biology Magazine, 2003
2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2016
The User-PC computing system (UPC) has been studied to provide a parallel computing platform for members in a group using idling computing resources in personal computers (PCs) of them. UPC adopts the master-worker model where we have implemented the programs for the master on Linux and for the worker on Linux and Windows. However, the current job scheduling method does ...
Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1994
Cardiomyoplasty is a new surgical treatment for heart failure in which skeletal muscle assists the heart. However, for the first 2 weeks postoperatively, the latissimus dorsi muscle (LDM) remains unstimulated, and during the next 2 weeks, the LDM is stimulated with only one pulse every other heart beat. Thus, for the initial 4 postoperative weeks, minimal systolic assistance is provided. ...
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications, 2002
In this paper a cellular neural network (CNN) based system to perform a real- time, parallel processing of magetoencephalographic data is proposed. In particular, a nonlinear approach to blind sources separation, instead of the linear procedure performed by independent component analysis, is introduced. Moreover, the characteristic spatial distribution of the cells in the CNN system has been exploited to reproduce ...
Computers in Cardiology, 2004, 2004
Non-Invasive Techniques for Monitoring Chronic Heart Failure - Harry Silber - IEEE EMBS at NIH, 2019
IEEE Day 2017 Testimonial: Karen Bartelson
Part Two: Interview with John Tisdale—IEEE VIC Summit 2018
IMS 2015: Maxwells Legacy: The Heart and Soul of the EM Discipline
Panel: Integrating POC Testing for HLBS Diseases into Clinical Care - IEEE EMBS at NIH, 2019
IMS 2014: Dr. Rudolph Henning Memorial
Open Edge Symposium - Think Smart, Keep Pace
Part 1: Interview with John Tisdale—IEEE VIC Summit 2018
The Josephson Effect: Brian Josephson Debates John Bardeen
Q&A with Kip Ludwig: IEEE Brain Podcast, Episode 7
IEEE Region 10 Congress 2015
Prototyping & Feasibility of Palpitation Display Apparatus - Sakura Sikander - IEEE EMBS at NIH, 2019
IEEE Medal for Innovations in Healthcare Technology - Thomas F. Budinger - 2018 IEEE Honors Ceremony
Robotics History: Narratives and Networks Oral Histories: Carme Torras
IEEE Sections Congress 2014: Luc Van den Hove, Wearable Medical Technology
Next Generation Power Supplies - APEC 2016
EDOC 2010 - Dr. Benjamin Grosof Keynote
Robot Storytelling for Ethical Origins, Services, and Futures: IEEE TechEthics Featured Talk with Heather Knight
Washington Internships for Students of Engineering
The User-PC computing system (UPC) has been studied to provide a parallel computing platform for members in a group using idling computing resources in personal computers (PCs) of them. UPC adopts the master-worker model where we have implemented the programs for the master on Linux and for the worker on Linux and Windows. However, the current job scheduling method does not consider the real performance of a worker PC. In this paper, we implement a function to measure the performance of a worker PC using two benchmark programs. The experiment results for six PCs in our group show that there are three times difference in the CPU performance and eight times difference in the disk performance.
Cardiomyoplasty is a new surgical treatment for heart failure in which skeletal muscle assists the heart. However, for the first 2 weeks postoperatively, the latissimus dorsi muscle (LDM) remains unstimulated, and during the next 2 weeks, the LDM is stimulated with only one pulse every other heart beat. Thus, for the initial 4 postoperative weeks, minimal systolic assistance is provided. This study determined if the LDM is capable of providing early assistance after 4 weeks of training. Cardiomyoplasty surgery involves severing the perforating intercostal arteries to the LDM, detaching the LDM from its distal insertion, and wrapping it around the heart. At each of these steps, we measured LDM global shortening in 6 dogs with 4 weeks training of the LDM. By training the LDM a significant functional improvement was seen with a preserved capability to sustain contraction even after raising the muscle.<<ETX>>
In this paper a cellular neural network (CNN) based system to perform a real- time, parallel processing of magetoencephalographic data is proposed. In particular, a nonlinear approach to blind sources separation, instead of the linear procedure performed by independent component analysis, is introduced. Moreover, the characteristic spatial distribution of the cells in the CNN system has been exploited to reproduce the topology of the acquisition channels over the scalp.
We consider fast independent component analysis (FastICA), which is one of the independent component analysis algorithms. FastICA was proposed by Aapo Hyvarinen et al., (2001). It adopts the method of extracting the independent components one after another by the batch method using kurtosis. This method has fast convergence. The purpose of this research is to apply FastICA to the feature extraction of pulse waves of a human being, and to verify its effectiveness. The pulse waves contain a lot of information concerning the circulation of the blood from the heart to the various parts of the body. When blood flows from the heart and is transmitted to the tips as a wave motion, it is modified by physiological conditions such as the heart beat movement, the circulation of the blood flow, and changes in the state of the minor artery system, which leads to the distortion of the shape of the waves. The individual distortions have been evaluated and several trials have been performed to evaluate the health of a person. SOM is used to cluster the pulse waves and the features extracted from each cluster are considered.
Heartbeats are signals periodically generated from remote sensors attached to a system whose status needs to be continuously monitored for safety. If consecutive n heartbeats are not transferred to a monitoring site, the target system is considered abnormal and might be shut down as in the case of monitoring nuclear power plants. In this paper, we propose a method to estimate the heartbeat count in the safety critical systems. Given a user- defined safety bound, the proposed method estimates the count n which satisfies the safety bound.
Heart disease has become the top three deaths for over 20 years, with the mortality of approximately 85,000 cases per year or 236 cases per day. Most are the elderly. Therefore, the objective of this study is to produce an equipment to assist this group of patients. The equipment comprises 3 major components including an electrical signal data receiver from heart with a chest string containing ECG pole. The data will be sent further to a microcontroller for being processed in order to calculate the rate of heartbeat. In case that an abnormal heartbeat is detected, the system will send a warning signal to the patient's physician or relative with a short message service (SMS) via a mobile phone network. With the use of GSM Module from an experiment to find the rate of heartbeat between the device proposed and OMRON SEM-1, a machine for measuring the rate of heartbeat used at a hospital, the experiment has indicated that the average rate of heartbeat measured by the machine proposed has fluctuated for less than 2% compared with that of OMRON SEM-1. Moreover, the system can detect the abnormal rate of heartbeat with 100% accuracy. In addition, the warning signal can be sent to the physician or the relative just in time.
In the present work, we sought to uncover possible deterministic dynamics in atrial tissue activations during persistent atrial fibrillation (persAF) using recurrence plots (RP) and recurrence quantification analysis (RQA). 797 bipolar atrial electrograms (AEGs) were collected from 18 persAF patients undergoing pulmonary vein isolation (PVI). Automated AEG classification was performed using the CARTO criteria (Biosense Webster). Four RQA attributes were obtained from the AEGs: determinism (DET); the recurrence rate (RR); the laminarity (LAM); and the Shannon entropy of the diagonal line in a RP (ENTR). PVI significantly increased the four RQA features ([Mean±SD], DET: 87.7±8.3% vs. 90.7±8.5%; RR: 60.2±17.3% vs. 63.6±17.4%; LAM: 93.9±4.7% vs. 95.3±5.5%; ENTR: 3.9±0.6 vs. 4.2±0.8, P≤0.0001). The attributes were higher for normal AEGs (normal vs. fractionated, DET: 90.5±8.7% vs. 86.7±7.6%; RR: 64.0±18.0% vs. 57.9±15.6%; LAM: 95.1±5.5% vs. 93.5±4.1%; ENTR: 4.2±0.8 vs. 3.8±0.5, P≤0.0001). Our results suggest that the increase of irregular activations on fractionated AEGs in persAF was not associated to a random structure. Diagonal structures associated to deterministic behaviour were still present in RPs from fractionated AEGs, leading to a high residual determinism, which could be related to unstable periodic orbits in a chaotic motion.
An adaptive heartbeat mechanism has been designed. Hosts on both sides can detect the states of connection established on General Packet Radio Service (GPRS) by exchange heartbeat packets. This mechanism can adapt to the network latency by detect the Round Trip Time (RTT) of transmission, reduce data flow by adjust sending interval and resume the connection automatically when network is at disconnection. This mechanism was integrated into a meteorology operation command system. Testing result performed on many types of mobile- phone indicate that this mechanism is cost-saving and improves the reaction speed for disconnection detection.
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