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https://www.readbyqxmd.com/read/28227959/localizing-seizure-onset-zone-by-convolutional-transfer-entropy-from-ieeg
#1
Kang Lin, Yueming Wang, Kedi Xu, Junming Zhu, Jianmin Zhang, Xiaoxiang Zheng, Kang Lin, Yueming Wang, Kedi Xu, Junming Zhu, Jianmin Zhang, Xiaoxiang Zheng, Xiaoxiang Zheng, Junming Zhu, Yueming Wang, Kedi Xu, Kang Lin, Jianmin Zhang
Automatic localization of the seizure onset zone (SOZ) is able to output an objective result and help clinical doctors greatly in epilepsy therapy. Transfer entropy is one of the most frequently used measures based on information theory to localize the SOZ. However, if only using transfer entropy to localize the SOZ, different results can be obtained during different periods, thus humans still need to identify which one is most reasonable. This paper proposes a new method to output only a few (e.g. 1 or 2) results along a long time slot...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227956/a-wirelessly-powered-homecage-with-animal-behavior-analysis-and-closed-loop-power-control
#2
Yaoyao Jia, Zheyuan Wang, Daniel Canales, Morgan Tinkler, Chia-Chun Hsu, Teresa E Madsen, S Abdollah Mirbozorgi, Donald Rainnie, Maysam Ghovanloo, Yaoyao Jia, Zheyuan Wang, Daniel Canales, Morgan Tinkler, Chia-Chun Hsu, Teresa E Madsen, S Abdollah Mirbozorgi, Donald Rainnie, Maysam Ghovanloo, Donald Rainnie, Chia-Chun Hsu, Teresa E Madsen, Morgan Tinkler, Daniel Canales, Zheyuan Wang, S Abdollah Mirbozorgi, Maysam Ghovanloo, Yaoyao Jia
This paper presents a new EnerCage-homecage system, EnerCage-HC2, for longitudinal electrophysiology data acquisition experiments on small freely moving animal subjects, such as rodents. EnerCage-HC2 is equipped with multi-coil wireless power transmission (WPT), closed-loop power control, bidirectional data communication via Bluetooth Low Energy (BLE), and Microsoft Kinect® based animal behavior tracking and analysis. The EnerCage-HC2 achieves a homogeneous power transfer efficiency (PTE) of 14% on average, with ~42 mW power delivered to the load (PDL) at a nominal height of 7 cm by the closed-loop power control mechanism...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227950/designing-and-testing-a-wearable-wireless-fnirs-patch
#3
Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya, Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya, Manob Jyoti Saikia, Kunal Mankodiya, Gozde Cay, Mohammadreza Abtahi
Optical brain monitoring using near infrared (NIR) light has got a lot of attention in order to study the complexity of the brain due to several advantages as oppose to other methods such as EEG, fMRI and PET. There are a few commercially available functional NIR spectroscopy (fNIRS) brain monitoring systems, but they are still non-wearable and pose difficulties in scanning the brain while the participants are in motion. In this work, we present our endeavors to design and test a low-cost, wireless fNIRS patch using NIR light sources at wavelengths of 770 and 830nm, photodetectors and a microcontroller to trigger the light sources, read photodetector's output and transfer data wirelessly (via Bluetooth) to a smart-phone...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227866/modelling-nutrient-transfer-based-on-3d-imaging-of-the-human-placental-microstructure
#4
S Perazzolo, R M Lewis, B G Sengers, S Perazzolo, R M Lewis, B G Sengers, B G Sengers, R M Lewis, S Perazzolo
Impaired transfer of nutrients from mother to fetus can affect pregnancy outcomes. The placenta has a complex microstructure, including the maternal intervillous space and fetal capillaries. Previous computational models of placental transfer either assumed a simplified idealized local geometry or were based on 2D imaging. In this study, we present a novel 3D computational model to assess the placental transfer of nutrients at the microscale in interaction with the maternal flow environment. A stack of confocal microscopy images of the placental terminal villi was collected and reconstructed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227846/time-frequency-joint-coding-method-for-boosting-information-transfer-rate-in-an-ssvep-based-bci-system
#5
Ke Lin, Yijun Wang, Xiaorong Gao, Ke Lin, Yijun Wang, Xiaorong Gao, Yijun Wang, Xiaorong Gao, Ke Lin
Steady-State Visual Evoked Potential (SSVEP) based Brain-Computer Interface (BCI) system is an important BCI modality. It has advantages such as ease of use, little training and high Information Transfer Rate (ITR). Traditional SSVEP based BCI systems are based on the Frequency Division Multiple Access (FDMA) approach in telecommunications. Recently, Time Division Multiple Access (TDMA) was also introduced to SSVEP based BCI to enhance the system performance. This study designed a new time-frequency joint coding method to utilize the information coding from both time and frequency domains...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227802/developing-a-one-channel-bci-system-using-a-dry-claw-like-electrode
#6
Xuhong Guo, Weihua Pei, Yijun Wang, Qiang Gui, He Zhang, Xiao Xing, Yong Huang, Hongda Chen, Ruicong Liu, Yuanyuan Liu, Xuhong Guo, Weihua Pei, Yijun Wang, Qiang Gui, He Zhang, Xiao Xing, Yong Huang, Hongda Chen, Ruicong Liu, Yuanyuan Liu, Hongda Chen, Yijun Wang, Weihua Pei, Yuanyuan Liu, Ruicong Liu, He Zhang, Qiang Gui, Xuhong Guo, Yong Huang, Xiao Xing
An eight-class SSVEP-based BCI system was designed and demonstrated in this study. To minimize the complexity of the traditional equipment and operation, only one work electrode was used. The work electrode was fabricated in our laboratory and designed as a claw-like structure with a diameter of 15 mm, featuring 8 small fingers of 4mm length and 2 mm diameter, and the weight was only 0.1g. The structure and elasticity can help the fingers pass through the hair and contact the scalp when placed on head. The electrode was capable to collect evoked brain activities such as steady-state visual evoked potentials (SSVEPs)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227756/synchronization-of-brain-activity-during-induction-of-propofol-anesthesia-comparison-of-methods
#7
Tarmo Lipping, Jaanika Saareleht, Elzbieta Olejarczyk, Eila Sonkajarvi, Tuomo Ylinen, Ville Jantti, Tarmo Lipping, Jaanika Saareleht, Elzbieta Olejarczyk, Eila Sonkajarvi, Tuomo Ylinen, Ville Jantti, Jaanika Saareleht, Ville Jantti, Eila Sonkajarvi, Tuomo Ylinen, Elzbieta Olejarczyk, Tarmo Lipping
Synchrony patterns between the EEG measured from the subthalamic nucleus and scalp are analyzed during induction of propofol anesthesia. Various methods such as Coherence, Phase Locking Value, Partial Directed Coherence, Mutual Information, and Transfer Entropy are applied. The results indicate that, in general, the synchrony patterns seen in the depth-scalp electrode pair are similar to those seen between two scalp electrodes of opposite hemispheres. A clear change of state is revealed at about 10 minutes before burst suppression; this event is revealed by linear (Coherence) as well as nonlinear (Phase Locking Value) and information theoretic (Mutual Information and Transfer Entropy) measures...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227752/multiscale-analysis-of-information-dynamics-for-linear-multivariate-processes
#8
Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo, Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo, Alessandro Montalto, Luca Faes, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
In the study of complex physical and physiological systems represented by multivariate time series, an issue of great interest is the description of the system dynamics over a range of different temporal scales. While information-theoretic approaches to the multiscale analysis of complex dynamics are being increasingly used, the theoretical properties of the applied measures are poorly understood. This study introduces for the first time a framework for the analytical computation of information dynamics for linear multivariate stochastic processes explored at different time scales...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227729/high-frame-rate-medical-quality-video-compression-for-tele-eeg
#9
Laurent Lambert, Syed Zahid Ahmed, Khalil Hachicha, Andrea Pinna, Patrick Garda, Laurent Lambert, Syed Zahid Ahmed, Khalil Hachicha, Andrea Pinna, Patrick Garda, Syed Zahid Ahmed, Andrea Pinna, Laurent Lambert, Patrick Garda, Khalil Hachicha
More and more, exams require medical images as a tool to diagnose pathologies. Thus, the transfer and storage of the exam data becomes a critical issue. To address this issue, an image compression algorithm called Waaves has been developed and certified for medical imaging. Our work in this paper deals with a scenario of EEG exams where video of the patient is also recorded in order to correctly diagnose myoclonus pathologies. To achieve this goal, the video needs to be of high quality and at frame rate of at least 100 frames per second...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227727/the-effect-of-data-exchange-protocols-on-decision-support-systems-for-heart-sounds
#10
P Gomes, S Faria, M Coimbra, P Gomes, S Faria, M Coimbra, P Gomes, S Faria, M Coimbra
Heart auscultation is one of the basic exams performed during a patient physical examination, but it is also one that has a high skill ceiling. Decision support systems can provide physicians with a tool that can help to reduce the demanding skill requirements of this exam. Nevertheless, this second opinion needs to be delivered in a timely interval in order to be truly useful for a physician. To do this we need not only optimized algorithms, but also a well designed system. In this paper, we have studied how two different data exchange protocols, that define how data should be transferred from an acquisition to a process module, can impact the celerity of delivering second opinion to a physician...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227726/mobile-teleradiology-system-suitable-for-m-health-services-supporting-content-and-semantic-based-image-retrieval-on-a-grid-infrastructure
#11
Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Victor Saquicela, Francisco Vega, Mauricio Espinoza, Lizandro Solano-Quinde, Blanca Ochoa, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Wilson Perez
Teleradiology systems tackle the problem of transferring radiological images between medical image workstations for facilitating different medical activities, e.g., diagnosis, treatment and follow up a patient, medical training, or consulting second opinion. Nowadays, m-Health (aka mobile health) is becoming popular because of high quality of mobile displays, although remains a work in progress. In this paper a mobile teleradiology system is reported, which main contribution is the development of a platform: (1) supported by a Grid infrastructure, (2) using biomedical ontologies for adding semantic annotations on medical images, and (3) supporting semantic and content-based image retrieval...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227635/identifying-the-number-and-location-of-body-worn-sensors-to-accurately-classify-walking-transferring-and-sedentary-activities
#12
Omar Aziz, Stephen N Robinovitch, Edward J Park, Omar Aziz, Stephen N Robinovitch, Edward J Park, Omar Aziz, Edward J Park, Stephen N Robinovitch
In order to perform fall risk assessments using wearable inertial sensors in older adults in their natural settings where falls are likely to occur, a first step is to automatically segment and classify sensor signals of human movements into the known `activities of interest'. Sensor data from such activities can later be used through quantitative and qualitative analysis for differentiating fallers from non-fallers. In this study, ten young adults participated in experimental trials involving several variations of walking, transferring and sedentary activities...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227626/design-and-prototyping-of-a-wristband-type-wireless-photoplethysmographic-device-for-heart-rate-variability-signal-analysis
#13
M Ghamari, C Soltanpur, S Cabrera, R Romero, R Martinek, H Nazeran, M Ghamari, C Soltanpur, S Cabrera, R Romero, R Martinek, H Nazeran, R Martinek, R Romero, C Soltanpur, S Cabrera, M Ghamari
Heart Rate Variability (HRV) signal analysis provides a quantitative marker of the Autonomic Nervous System (ANS) function. A wristband-type wireless photoplethysmographic (PPG) device was custom-designed to collect and analyze the arterial pulse in the wrist. The proposed device is comprised of an optical sensor to monitor arterial pulse, a signal conditioning unit to filter and amplify the analog PPG signal, a microcontroller to digitize the analog PPG signal, and a Bluetooth module to transfer the data to a smart device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227591/an-inductive-narrow-pulse-rfid-telemetry-system-for-gastric-slow-waves-monitoring
#14
Amir Javan-Khoskholgh, Zaid Abukhalaf, Ji Li, Larry S Miller, Mehdi Kiani, Aydin Farajidavar, Amir Javan-Khoskholgh, Zaid Abukhalaf, Ji Li, Larry S Miller, Mehdi Kiani, Aydin Farajidavar, Larry S Miller, Amir Javan-Khoskholgh, Ji Li, Mehdi Kiani, Zaid Abukhalaf
We present a passive data telemetry system for real-time monitoring of gastric electrical activity of a living subject. The system is composed of three subsystems: an implantable unit (IU), a wearable unit (WU), and a stationary unit (SU). Data communication between the IU and WU is based on a radio-frequency identification (RFID) link operating at 13.56 MHz. Since wireless power transmission and reverse data telemetry system share the same inductive interface, a load shift keying (LSK)-based differential pulse position (DPP) coding data communication with only 6...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227553/transfer-learning-with-large-scale-data-in-brain-computer-interfaces
#15
Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung, Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung, Yuan-Pin Lin, Yu-Te Wang, Tzyy-Ping Jung, Chin-Teng Lin, Chun-Shu Wei
Human variability in electroencephalogram (EEG) poses significant challenges for developing practical real-world applications of brain-computer interfaces (BCIs). The intuitive solution of collecting sufficient user-specific training/calibration data can be very labor-intensive and time-consuming, hindering the practicability of BCIs. To address this problem, transfer learning (TL), which leverages existing data from other sessions or subjects, has recently been adopted by the BCI community to build a BCI for a new user with limited calibration data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227520/cross-frequency-information-transfer-from-eeg-to-emg-in-grasping
#16
Winnie K Y So, Lingling Yang, Beth Jelfs, Qi She, Savio W H Wong, Joseph N Mak, Rosa H M Chan, Winnie K Y So, Lingling Yang, Beth Jelfs, Qi She, Savio W H Wong, Joseph N Mak, Rosa H M Chan, Rosa H M Chan, Beth Jelfs, Savio W H Wong, Lingling Yang, Qi She, Joseph N Mak, Winnie K Y So
This paper presents an investigation into the cortico-muscular relationship during a grasping task by evaluating the information transfer between EEG and EMG signals. Information transfer was computed via a non-linear model-free measure, transfer entropy (TE). To examine the cross-frequency interaction, TEs were computed after the times series were decomposed into various frequency ranges via wavelet transform. Our results demonstrate the capability of TE to capture the direct interaction between EEG and EMG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227511/toward-a-distributed-free-floating-wireless-implantable-neural-recording-system
#17
Pyungwoo Yeon, Xingyuan Tong, Byunghun Lee, Abdollah Mirbozorgi, Bruce Ash, Helmut Eckhardt, Maysam Ghovanloo, Pyungwoo Yeon, Xingyuan Tong, Byunghun Lee, Abdollah Mirbozorgi, Bruce Ash, Helmut Eckhardt, Maysam Ghovanloo, Maysam Ghovanloo, Byunghun Lee, Bruce Ash, Xingyuan Tong, Pyungwoo Yeon, Abdollah Mirbozorgi, Helmut Eckhardt
To understand the complex correlations between neural networks across different regions in the brain and their functions at high spatiotemporal resolution, a tool is needed for obtaining long-term single unit activity (SUA) across the entire brain area. The concept and preliminary design of a distributed free-floating wireless implantable neural recording (FF-WINeR) system are presented, which can enabling SUA acquisition by dispersedly implanting tens to hundreds of untethered 1 mm(3) neural recording probes, floating with the brain and operating wirelessly across the cortical surface...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227390/bio-heat-transfer-model-of-electroconvulsive-therapy-effect-of-biological-properties-on-induced-temperature-variation
#18
Marilia M de Oliveira, Paul Wen, Tony Ahfock, Marilia M de Oliveira, Paul Wen, Tony Ahfock, Paul Wen, Marilia M de Oliveira, Tony Ahfock
A realistic human head model consisting of six tissue layers was modelled to investigate the behavior of temperature profile and magnitude when applying electroconvulsive therapy stimulation and different biological properties. The thermo-electrical model was constructed with the use of bio-heat transfer equation and Laplace equation. Three different electrode montages were analyzed as well as the influence of blood perfusion, metabolic heat and electric and thermal conductivity in the scalp. Also, the effect of including the fat layer was investigated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227361/kinect2-respiratory-movement-detection-study
#19
Sandy Rihana, Elie Younes, Dimitris Visvikis, Hadi Fayad, Sandy Rihana, Elie Younes, Dimitris Visvikis, Hadi Fayad, Sandy Rihana, Elie Younes, Dimitris Visvikis, Hadi Fayad
Radiotherapy is one of the main cancer treatments. It consists in irradiating tumor cells to destroy them while sparing healthy tissue. The treatment is planned based on Computed Tomography (CT) and is delivered over fractions during several days. One of the main challenges is replacing patient in the same position every day to irradiate the tumor volume while sparing healthy tissues. Many patient positioning techniques are available. They are both invasive and not accurate performed using tattooed marker on the patient's skin aligned with a laser system calibrated in the treatment room or irradiating using X-ray...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227227/multi-task-transfer-learning-for-in-hospital-death-prediction-of-icu-patients
#20
Chandan Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh, Chandan Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh, Chandan Karmakar
Multi-Task Transfer Learning (MTTL) is an efficient approach for learning from inter-related tasks with small sample size and imbalanced class distribution. Since the intensive care unit (ICU) data set (publicly available in Physionet) has subjects from four different ICU types, we hypothesize that there is an underlying relatedness amongst various ICU types. Therefore, this study aims to explore MTTL model for in-hospital mortality prediction of ICU patients. We used single-task learning (STL) approach on the augmented data as well as individual ICU data and compared the performance with the proposed MTTL model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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