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https://www.readbyqxmd.com/read/28227964/cross-entropy-optimization-for-neuromodulation
#1
Harleen K Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A Theodorou, Harleen K Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A Theodorou, Yunpeng Pan, Harleen K Brar, Babak Mahmoudi, Evangelos A Theodorou
This study presents a reinforcement learning approach for the optimization of the proportional-integral gains of the feedback controller represented in a computational model of epilepsy. The chaotic oscillator model provides a feedback control systems view of the dynamics of an epileptic brain with an internal feedback controller representative of the natural seizure suppression mechanism within the brain circuitry. Normal and pathological brain activity is simulated in this model by adjusting the feedback gain values of the internal controller...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227931/long-range-correlations-in-amplitude-variability-of-hf-and-lf-components-of-heart-rate-variability
#2
Yuki Miki, Yasuyuki Suzuki, Eiichi Watanabe, Junichiro Hayano, Yoshiharu Yamamoto, Taishin Nomura, Ken Kiyono, Yuki Miki, Yasuyuki Suzuki, Eiichi Watanabe, Junichiro Hayano, Yoshiharu Yamamoto, Taishin Nomura, Ken Kiyono
For the assessment of autonomic nervous system activity based on heart rate variability (HRV) analysis, characteristics of high-frequency (HF; 0.15 to 0.4 Hz) and low-frequency (LF; 0.04 to 0.15 Hz) components have been widely employed. HF and LF band powers quantified by power spectral analysis have most commonly been used in the conventional studies; the physiological significance of these measures has also been extensively studied. However, nonlinear characteristics of HF and LF components have not been well established...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227924/a-hybrid-hardware-and-software-approach-for-cancelling-stimulus-artifacts-during-same-electrode-neural-stimulation-and-recording
#3
Stanislav Culaclii, Brian Kim, Yi-Kai Lo, Wentai Liu, Stanislav Culaclii, Brian Kim, Yi-Kai Lo, Wentai Liu, Brian Kim, Yi-Kai Lo, Wentai Liu, Stanislav Culaclii
Recovering neural responses from electrode recordings is fundamental for understanding the dynamics of neural networks. This effort is often obscured by stimulus artifacts in the recordings, which result from stimuli injected into the electrode-tissue interface. Stimulus artifacts, which can be orders of magnitude larger than the neural responses of interest, can mask short-latency evoked responses. Furthermore, simultaneous neural stimulation and recording on the same electrode generates artifacts with larger amplitudes compared to a separate electrode setup, which inevitably overwhelm the amplifier operation and cause unrecoverable neural signal loss...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227890/in-vitro-identification-of-shoulder-joint-and-muscle-dynamics-based-on-motion-capture-and-musculoskeletal-computation
#4
Akihiko Murai, Yusuke Kawano, Ko Ayusawa, Mitsunori Tada, Noboru Matsumura, Takeo Nagura, Akihiko Murai, Yusuke Kawano, Ko Ayusawa, Mitsunori Tada, Noboru Matsumura, Takeo Nagura
Dynamics properties of shoulder joint and muscle are experimentally identified under different musculoskeletal conditions for a digital human model with accurate dynamics. Passive swing motions of scapula and upper limb bones in cadaveric specimen with and without muscles are measured by an optical motion capture system. External forces that are applied to the scapula bone are simultaneously measured by a force plate. The dynamics identification process consists of 3 steps: 1) identify the inertial parameters of the cadaveric specimen with and without muscles respectively, 2) identify the viscosity of the glenohumeral joint from the specimen without muscles, and 3) identify the viscosity of the shoulder muscles from the specimen with muscles and the identified joint viscosity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227876/a-dynamic-data-source-selection-system-for-smartwatch-platform
#5
Ebrahim Nemati, Konstantinos Sideris, Haik Kalantarian, Majid Sarrafzadeh, Ebrahim Nemati, Konstantinos Sideris, Haik Kalantarian, Majid Sarrafzadeh, Haik Kalantarian, Majid Sarrafzadeh, Konstantinos Sideris, Ebrahim Nemati
A novel data source selection algorithm is proposed for ambulatory activity tracking of elderly people. The algorithm introduces the concept of dynamic switching between the data collection modules (a smartwatch and a smartphone) to improve accuracy and battery life using contextual information. We show that by making offloading decisions as a function of activity, the proposed algorithm improves power consumption and accuracy of the previous work by 7 hours and 5% respectively compared to the baseline.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227834/development-of-semi-chronic-microdrive-system-for-large-scale-circuit-mapping-in-macaque-mesolimbic-and-basal-ganglia-systems
#6
Shaoyu Qiao, Kevin A Brown, Amy L Orsborn, Breonna Ferrentino, Bijan Pesaran, Shaoyu Qiao, Kevin A Brown, Amy L Orsborn, Breonna Ferrentino, Bijan Pesaran, Shaoyu Qiao, Amy L Orsborn, Breonna Ferrentino, Kevin A Brown, Bijan Pesaran
The development of novel neurotechnologies for treating refractory neuropsychiatry disorders depends on understanding and manipulating the dynamics of neural circuits across large-scale brain networks. The mesolimbic pathway plays an essential role in reward processing and mood regulation and disorders of this pathway underlie many neuropsychiatric disorders. Here, we present the design of a customized semi-chronic microdrive array that precisely targets the anatomical structures of non-human primate (NHP) mesolimbic and basal ganglia systems...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227828/pose-measurement-of-anterior-pelvic-plane-based-on-inertial-measurement-unit-in-total-hip-replacement-surgeries
#7
Zhe Cao, Shaojie Su, Hong Chen, Hao Tang, Yixin Zhou, Zhihua Wang, Zhe Cao, Shaojie Su, Hong Chen, Hao Tang, Yixin Zhou, Zhihua Wang, Zhe Cao, Yixin Zhou, Hong Chen, Zhihua Wang, Hao Tang, Shaojie Su
In Total Hip Replacement (THR), inaccurate measurement of Anterior Pelvic Plane (APP), which is usually used as a reference plane, will lead to malposition of the acetabular prosthesis. As a result, the risk of impingement, dislocation and wear will increase and the safe range of motion will be limited. In order to acquire the accurate pose of APP, a measurement system is designed in this paper, which includes two parts: one is used to estimate the initial pose of APP and the other is used to trail dynamic motion of APP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227827/a-novel-tool-and-procedure-for-in-situ-volumetric-calibration-of-motion-capture-systems-for-breathing-analysis
#8
C Massaroni, E Schena, P Saccomandi, S Silvestri, C Massaroni, E Schena, P Saccomandi, S Silvestri, C Massaroni, P Saccomandi, E Schena, S Silvestri
Optical motion capture systems are widely used in biomechanics although have not been significantly explored for measuring volumes and volume variations yet. The aim of this study was to propose and test a completely novel procedure for the calibration of motion capture systems for the breathing analysis in terms of volume measurements, by the use of a tool consisting in an ad-hoc designed in-situ calibration device (CD) and two algorithms for calibration. Both the calibration tool and the calibration procedure performed in the range 0-2780mL on an Optoelectronic Plethysmography (OEP) system are presented...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227778/hybrid-automata-models-of-cardiac-ventricular-electrophysiology-for-real-time-computational-applications
#9
Sidharta Andalam, Harshavardhan Ramanna, Avinash Malik, Parthasarathi Roop, Nitish Patel, Mark L Trew, Sidharta Andalam, Harshavardhan Ramanna, Avinash Malik, Parthasarathi Roop, Nitish Patel, Mark L Trew, Nitish Patel, Avinash Malik, Parthasarathi Roop, Harshavardhan Ramanna, Mark L Trew, Sidharta Andalam
Virtual heart models have been proposed for closed loop validation of safety-critical embedded medical devices, such as pacemakers. These models must react in real-time to off-the-shelf medical devices. Real-time performance can be obtained by implementing models in computer hardware, and methods of compiling classes of Hybrid Automata (HA) onto FPGA have been developed. Models of ventricular cardiac cell electrophysiology have been described using HA which capture the complex nonlinear behavior of biological systems...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227773/whole-heart-modeling-spatiotemporal-dynamics-of-electrical-wave-conduction-and-propagation
#10
Hui Yang, Yun Chen, Fabio M Leonelli, Hui Yang, Yun Chen, Fabio M Leonelli, Hui Yang, Fabio M Leonelli, Yun Chen
Cardiac electrical activities are varying in both space and time. Human heart consists of a fractal network of muscle cells, Purkinje fibers, arteries and veins. Whole-heart modeling of electrical wave conduction and propagation involves a greater level of complexity. Our previous work developed a computer model of the anatomically realistic heart and simulated the electrical conduction with the use of cellular automata. However, simplistic assumptions and rules limit its ability to provide an accurate approximation of real-world dynamics on the complex heart surface, due to sensitive dependence of nonlinear dynamical systems on initial conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227754/brain-heart-linear-and-nonlinear-dynamics-during-visual-emotional-elicitation-in-healthy-subjects
#11
G Valenza, A Greco, C Gentili, A Lanata, N Toschi, R Barbieri, L Sebastiani, D Menicucci, A Gemignani, E P Scilingo, G Valenza, A Greco, C Gentili, A Lanata, N Toschi, R Barbieri, L Sebastiani, D Menicucci, A Gemignani, E P Scilingo, A Lanata, A Gemignani, E P Scilingo, A Greco, D Menicucci, L Sebastiani, C Gentili, N Toschi, R Barbieri, G Valenza
This study investigates brain-heart dynamics during visual emotional elicitation in healthy subjects through linear and nonlinear coupling measures of EEG spectrogram and instantaneous heart rate estimates. To this extent, affective pictures including different combinations of arousal and valence levels, gathered from the International Affective Picture System, were administered to twenty-two healthy subjects. Time-varying maps of cortical activation were obtained through EEG spectral analysis, whereas the associated instantaneous heartbeat dynamics was estimated using inhomogeneous point-process linear models...
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
#12
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/28227733/accuracy-evaluation-of-the-kinect-v2-sensor-during-dynamic-movements-in-a-rehabilitation-scenario
#13
M Capecci, M G Ceravolo, F Ferracuti, S Iarlori, S Longhi, L Romeo, S N Russi, F Verdini, M Capecci, M G Ceravolo, F Ferracuti, S Iarlori, S Longhi, L Romeo, S N Russi, F Verdini, S Longhi, L Romeo, S N Russi, S Iarlori, M Capecci, F Ferracuti, M G Ceravolo, F Verdini
In this paper, the accuracy evaluation of the Kinect v2 sensor is investigated in a rehabilitation scenario. The accuracy analysis is provided in terms of joint positions and angles during dynamic postures used in low-back pain rehabilitation. Although other studies have focused on the validation of the accuracy in terms of joint angles and positions, they present results only considering static postures whereas the rehabilitation exercise monitoring involves to consider dynamic movements with a wide range of motion and issues related to the joints tracking...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227683/artsens-%C3%A2-mobile-a-portable-image-free-platform-for-automated-evaluation-of-vascular-stiffness
#14
Malay Ilesh Shah, Jayaraj Joseph, T Aryasree, Mohanasankar Sivaprakasam, Malay Ilesh Shah, Jayaraj Joseph, T Aryasree, Mohanasankar Sivaprakasam, T Aryasree, Mohanasankar Sivaprakasam, Jayaraj Joseph, Malay Ilesh Shah
Vascular stiffness is a key physiological marker significant in screening and early diagnosis of vascular disease. However, state of art techniques for vascular stiffness evaluation are not suited for field deployment. We present ARTSENS(®) Mobile, a portable, image-free ultrasound technology platform for automated evaluation of carotid artery stiffness, amenable for field deployment. The technology utilises a single element ultrasound transducer operated in pulse echo modality to investigate arterial wall dynamics, assisted by intelligent algorithms for wall identification and motion tracking to completely automate the measurement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227677/multipoint-temperature-monitoring-in-liver-undergoing-computed-tomography-guided-radiofrequency-ablation-with-fiber-bragg-grating-probes
#15
P Saccomandi, E Schena, M Diana, F M Di Matteo, G Costamagna, J Marescaux, P Saccomandi, E Schena, M Diana, F M Di Matteo, G Costamagna, J Marescaux, F M Di Matteo, J Marescaux, E Schena, M Diana, G Costamagna, P Saccomandi
In this work, we investigated the temperature increment experienced by biological tissue during radiofrequency ablation (RFA). The measurements were performed by using two custom-made thermal probes based on fiber optic sensors (fiber Bragg gratings, FBGs). The two probes embed a total of 9 FBGs. Experiments were performed during RFA of an ex vivo healthy porcine liver. The RFA heating module was equipped with 5 thermocouples. Results show that the temperature increment close to the applicator (i.e., 0.6 cm-0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227671/imquant-an-image-based-fluorescence-reader-for-quantitative-lateral-flow-immunoassays
#16
Kaushik Basak Chowdhury, Jayaraj Joseph, Jayaraman Kiruthi Vasan, Mohanasankar Sivaprakasam, Kaushik Basak Chowdhury, Jayaraj Joseph, Jayaraman Kiruthi Vasan, Mohanasankar Sivaprakasam, Jayaraman Kiruthi Vasan, Mohanasankar Sivaprakasam, Jayaraj Joseph, Kaushik Basak Chowdhury
Fluorescence immunoassays (FIA) have strong potential in enabling rapid quantitative immunological testing at point of care. Existing state of the art instruments employ laser scanning of FIA test kits, which require the use of electromechanical systems, making the instrument bulky, heavy and less reliable in the long term. There is a growing need for an extremely compact and reliable, motion-free, automated reader for accurate quantification of immunoassays. Here, we present ImQuant, an image based FIA reader with integrated monochromatic excitation source, optical filtering and real time image capture, assisted with an intuitive graphical user interface...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227651/adaptive-control-of-powered-transfemoral-prostheses-based-on-adaptive-dynamic-programming
#17
Yue Wen, Ming Liu, Jennie Si, He Helen Huang, Yue Wen, Ming Liu, Jennie Si, He Huang, He Helen Huang, Yue Wen, Ming Liu, Jennie Si
In this study, we developed and tested a novel adaptive controller for powered transfemoral prostheses. Adaptive dynamic programming (ADP) was implemented within the prosthesis control to complement the existing finite state impedance control (FS-IC) in a prototypic active-transfemoral prosthesis (ATP). The ADP controller interacts with the human user-prosthesis system, observes the prosthesis user's dynamic states during walking, and learns to personalize user performance properties via online adaptation to meet the individual user's objectives...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227647/a-feasibility-study-of-depth-image-based-intent-recognition-for-lower-limb-prostheses
#18
Huseyin Atakan Varol, Yerzhan Massalin, Huseyin Atakan Varol, Yerzhan Massalin, Huseyin Atakan Varol, Yerzhan Massalin
This paper presents our preliminary work on a depth camera based intent recognition system intended for future use in robotic prosthetic legs. The approach infers the activity mode of the subject for standing, walking, running, stair ascent and stair descent modes only using data from the depth camera. Depth difference images are also used to increase the performance of the approach by discriminating between static and dynamic instances. After confidence map based filtering, simple features such as mean, maximum, minimum and standard deviation are extracted from rectangular regions of the frames...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227633/beacon-based-opportunistic-scheduling-in-wireless-body-area-network
#19
Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati, Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati, Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati
Wireless Body Area Networks (WBANs) are one of the key technologies that support the development of digital health care, which has attracted increasing attention in recent years. Compared with general Wireless Sensor Networks (WSNs), WBANs have more stringent requirements on reliability and energy efficiency. Though WBANs are applied within limited transmission range, the on-body channel condition can be very challenging because of blocking or absorbing of signal. In this paper, we are looking into the design of Medium Access Control (MAC) protocols and propose an opportunistic scheduling scheme by applying heuristic scheduling and dynamic superframe length adjustment to improve the system performance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227627/computation-offloading-for-real-time-health-monitoring-devices
#20
Haik Kalantarian, Costas Sideris, Tuan Le, Anahita Hosseini, Majid Sarrafzadeh, Haik Kalantarian, Costas Sideris, Tuan Le, Anahita Hosseini, Majid Sarrafzadeh, Costas Sideris, Majid Sarrafzadeh, Anahita Hosseini, Tuan Le, Haik Kalantarian
Among the major challenges in the development of real-time wearable health monitoring systems is to optimize battery life. One of the major techniques with which this objective can be achieved is computation offloading, in which portions of computation can be partitioned between the device and other resources such as a server or cloud. In this paper, we describe a novel dynamic computation offloading scheme for real-time wearable health monitoring devices that adjusts the partitioning of data between the wearable device and mobile application as a function of desired classification accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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