keyword
MENU ▼
Read by QxMD icon Read
search

Adaptation

keyword
https://www.readbyqxmd.com/read/28227981/assessment-of-sedation-analgesia-by-means-of-poincare%C3%AC-analysis-of-the-electroencephalogram
#1
Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Xavi Borrat, Jose F Valencia, Montserrat Vallverdu, Pere Caminal, Pedro L Gambus, Daniel F Valencia
Monitoring the levels of sedation-analgesia may be helpful for managing patient stress on minimally invasive medical procedures. Monitors based on EEG analysis and designed to assess general anesthesia cannot distinguish reliably between a light and deep sedation. In this work, the Poincaré plot is used as a nonlinear technique applied to EEG signals in order to characterize the levels of sedation-analgesia, according to observed categorical responses that were evaluated by means of Ramsay Sedation Scale (RSS)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227975/an-adaptive-deep-learning-approach-for-ppg-based-identification
#2
V Jindal, J Birjandtalab, M Baran Pouyan, M Nourani, V Jindal, J Birjandtalab, M Baran Pouyan, M Nourani, V Jindal, M Baran Pouyan, J Birjandtalab, M Nourani
Wearable biosensors have become increasingly popular in healthcare due to their capabilities for low cost and long term biosignal monitoring. This paper presents a novel two-stage technique to offer biometric identification using these biosensors through Deep Belief Networks and Restricted Boltzman Machines. Our identification approach improves robustness in current monitoring procedures within clinical, e-health and fitness environments using Photoplethysmography (PPG) signals through deep learning classification models...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227971/a-feature-exploration-methodology-for-learning-based-cuffless-blood-pressure-measurement-using-photoplethysmography
#3
Kefeng Duan, Zhiliang Qian, Mohamed Atef, Guoxing Wang, Kefeng Duan, Zhiliang Qian, Mohamed Atef, Guoxing Wang, Zhiliang Qian, Kefeng Duan, Guoxing Wang, Mohamed Atef
In this work, we propose a feature exploration method for learning-based cuffless blood pressure measurement. More specifically, to efficiently explore a large feature space from the photoplethysmography signal, we have applied several analytical techniques, including random error elimination, adaptive outlier removal, maximum information coefficient and Pearson's correlation coefficient based feature assessment methods. We evaluate fifty-seven possible feature candidates and propose three separate feature sets with each containing eleven features to predict the systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean blood pressure (MBP), respectively...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227945/an-adaptive-and-robust-online-method-to-predict-gait-events
#4
Stefan O Schrade, Yvonne Bader, Michael R Tucker, Camila Shirota, Roger Gassert, Stefan O Schrade, Yvonne Bader, Michael R Tucker, Camila Shirota, Roger Gassert, Camila Shirota, Stefan O Schrade, Roger Gassert, Yvonne Bader, Michael R Tucker
Accurate timing of interventions during the gait cycle are critical for optimal efficacy of assistive devices, e.g., to reduce the metabolic cost of walking. However, timing control generally relies on methods that can neither account for changes in the stride duration over time due to different walking speeds, nor reject isolated abnormal strides, which could be caused by stumbling or obstacle avoidance for example. In order to address these issues, a method, named the Gait Phase Estimator (GPE), is proposed to predict temporal gait events and stride duration...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227930/detection-of-artifacts-on-photoplethysmography-signals-using-random-distortion-testing
#5
Safa Cherif, Dominique Pastor, Quang-Thang Nguyen, Erwan L'Her, Safa Cherif, Dominique Pastor, Quang-Thang Nguyen, Erwan L'Her, Safa Cherif, Quang-Thang Nguyen, Erwan L'Her, Dominique Pastor
In this work, we describe a novel method based on waveform morphology for detecting artifacts in photoplethysmography (PPG) signals and, thus, improve reliability of PPG. By considering inter-individual and measure condition variability, specific parameters are estimated for each record. We introduce a novel metric for comparing pulses, which is the derivative of the correlation coefficient. Then, we propose a detection method based on Random Distortion Testing (RDT), to perform adaptive threasholding for each record...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227913/online-learning-of-gait-models-for-calculation-of-gait-parameters
#6
Jamie L S Waugh, Anton Trinh, Ryan R Mohammed, William E McIlroy, Dana Kulic, Jamie L S Waugh, Anton Trinh, Ryan R Mohammed, William E McIlroy, Dana Kulic, Jamie L S Waugh, Dana Kulic, Anton Trinh, William E McIlroy, Ryan R Mohammed
This paper proposes a novel approach for gait analysis from wearable sensing, based on an adaptive periodic model of any gait signal. The proposed method learns a model of the gait cycle during online measurement, using a continuous representation that can adapt to inter and intra-personal variability by creating an individualized model. Once the algorithm has converged to the input signal, key gait events can be identified relative to the estimated gait phase; these events can then be used to calculate gait parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227912/a-hybrid-discrete-continuous-model-of-in-vitro-spheroid-tumor-growth-and-drug-response
#7
Giorgos Tzedakis, Evangelos Liapis, Eleftheria Tzamali, Giannis Zacharakis, Vangelis Sakkalis, Giorgos Tzedakis, Evangelos Liapis, Eleftheria Tzamali, Giannis Zacharakis, Vangelis Sakkalis, Giannis Zacharakis, Vangelis Sakkalis, Evangelos Liapis, Giorgos Tzedakis, Eleftheria Tzamali
Anti-cancer therapy efficacy in solid tumors mainly depends on drug transportation through the vasculature system and the extracellular matrix, on diffusion gradients and clonal heterogeneity within the tumor mass, as well as on the responses of the individual tumor cells to drugs and their interactions with each other and their local microenvironment. In this work, we develop a mathematical predictive model for tumor growth and drug response based on 3D spheroids experiments that possess several in vivo features of tumors and are considered better for drug screening...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227908/a-boolean-approach-to-bacterial-chemotaxis
#8
Anuj Deshpande, Sibendu Samanta, Haimabati Das, Ritwik Kumar Layek, Anuj Deshpande, Sibendu Samanta, Haimabati Das, Ritwik Kumar Layek, Sibendu Samanta, Anuj Deshpande, Haimabati Das, Ritwik Kumar Layek
Bacterium such as Escherichia coli (E. coli) show biased Brownian motion in different chemical concentration gradients. This chemical sensitive motility or chemotaxis has gained considerable interest among scientists for some remarkable features such as chemo-sensory dynamic range, adaptation, diffusion and drift. A Boolean model of the whole chemotaxis process has been developed in this manuscript. The response of the circuit is in accordance with the experimental results available in the literature, providing indirect validation of the model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227873/a-comprehensive-reputation-mechanism-for-ubiquitous-healthcare-environment-exploiting-cloud-model
#9
Georgia Athanasiou, Dimitrios Lymberopoulos, Georgia Athanasiou, Dimitrios Lymberopoulos, Dimitrios Lymberopoulos, Georgia Athanasiou
Absence of trust foundations may outweigh benefits of ubiquitous and personalized mental healthcare supervision provided within a Ubiquitous Healthcare environment (UH). Trust is composed by patient's Personal Interaction Experience (PIE) and social entourage accumulated PIE, i.e. Reputation (R). In this paper, a cloud-based Reputation mechanism is proposed. Since PIE is the elementary trust information source, also an Updating mechanism of PIE, is introduced, in this paper. Cloud materialization of combined mechanisms provides adaptability to UH Providers' dynamic behavior, facilitates detection of milking behaviors and complex malicious attacks while meets the challenge of limited accuracy in case of data sparseness...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227852/non-linear-dynamic-modeling-of-glucose-in-type-1-diabetes-with-kernel-adaptive-filters
#10
Eleni I Georga, Jose C Principe, Demosthenes Polyzos, Dimitrios I Fotiadis, Eleni I Georga, Jose C Principe, Demosthenes Polyzos, Dimitrios I Fotiadis, Eleni I Georga, Demosthenes Polyzos, Jose C Principe, Dimitrios I Fotiadis
We propose a non-linear recursive solution to the problem of short-term prediction of glucose in type 1 diabetes. The Fixed Budget Quantized Kernel Least Mean Square (QKLMS-FB) algorithm is employed to construct a univariate model of subcutaneous glucose concentration, which: (i) handles nonlinearities by transforming the input space into a high-dimensional Reproducing Kernel Hilbert Space and, (ii) finds a sparse solution by retaining a representative subset of the training input vectors. The dataset comes from the continuous multi-day recordings of 15 type 1 patients in free-living conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227848/motion-noise-cancellation-in-seismocardiogram-of-ambulant-subjects-with-dual-sensors
#11
Chenxi Yang, Negar Tavassolian, Chenxi Yang, Negar Tavassolian, Negar Tavassolian, Chenxi Yang
This paper presents a dual-sensor method of extracting seismocardiographic (SCG) data from moving adult subjects using chest-worn wireless MEMS accelerometers. A digital signal processing (DSP) system including a normalized least means square (NLMS) adaptive filter is designed and tested in MATLAB. Data results from 10 subjects indicate a detection rate of 98.72% which outperforms our previously-proposed single-sensor scheme. Various sensor positons and possible failure mechanisms are also investigated to further evaluate the system performance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227847/a-compact-representation-for-the-auditory-full-range-response-and-its-fast-denoising-using-an-image-filter-based-on-the-radon-transform
#12
Manuel C Kohl, Daniel J Strauss, Manuel C Kohl, Daniel J Strauss, Daniel J Strauss, Manuel C Kohl
The Auditory Brainstem, Middle-Latency and Late Responses, a class of event-related potentials (ERPs), are of considerable interest in neuroscience research as robust neural correlates of different processing stages along the auditory pathway. While most research to date centers around one of the responses at a time for practical reasons, recent efforts indicate a paradigm shift towards acquiring them together, enabling the simultaneous monitoring of all auditory processing stages from the brainstem to the cortex...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227840/virtual-reality-for-pediatric-neuro-rehabilitation-adaptive-visual-feedback-of-movement-to-engage-the-mirror-neuron-system
#13
Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos
Sensorimotor therapy gives optimal results when patients are cognitively engaged into highly repetitive tasks, a goal that most children find hard to pursue. This paper presents the key developments of our ongoing effort to design an interactive rehabilitation environment that motivates physically impaired children throughout their therapy. The continuous motivation is achieved by the system adapting fundamental therapeutic components to the performance of each child. The relevant movement is mirrored to an animated character projected in front of the child...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227830/an-adaptive-model-approach-for-quantitative-wrist-rigidity-evaluation-during-deep-brain-stimulation-surgery
#14
Sofia Assis, Pedro Costa, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha, Sofia Assis, Pedro Costa, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha, Maria Jose Rosas, Joao Paulo Silva Cunha, Sofia Assis, Rui Vaz, Pedro Costa
Intraoperative evaluation of the efficacy of Deep Brain Stimulation includes evaluation of the effect on rigidity. A subjective semi-quantitative scale is used, dependent on the examiner perception and experience. A system was proposed previously, aiming to tackle this subjectivity, using quantitative data and providing real-time feedback of the computed rigidity reduction, hence supporting the physician decision. This system comprised of a gyroscope-based motion sensor in a textile band, placed in the patients hand, which communicated its measurements to a laptop...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227825/real-time-autonomous-bladder-event-classification-and-closed-loop-control-from-single-channel-pressure-data
#15
Robert Karam, Swarup Bhunia, Steve Majerus, Steven W Brose, Margot S Damaser, Dennis Bourbeau, Robert Karam, Swarup Bhunia, Steve Majerus, Steven W Brose, Margot S Damaser, Dennis Bourbeau, Steve Majerus, Margot S Damaser, Robert Karam, Steven W Brose, Dennis Bourbeau, Swarup Bhunia
Urinary incontinence, or the loss of bladder control, is a debilitating condition affecting millions worldwide, which significantly reduces quality of life. Neuromodulation of lower urinary tract nerves can be used to treat sensations of urgency in many subjects, including those with Spinal Cord Injury (SCI). Event driven, or conditional stimulation has been investigated as a possible improvement to the state-of-the-art open-loop stimulation systems available today. However, this requires a robust, adaptive, and noise-tolerant method of classifying bladder function from real-time bladder pressure measurements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227808/adaptive-decoding-using-local-field-potentials-in-a-brain-machine-interface
#16
Rosa So, Camilo Libedinsky, Kai Keng Ang, Wee Chiek Clement Lim, Kyaw Kyar Toe, Cuntai Guan, Rosa So, Camilo Libedinsky, Kai Keng Ang, Wee Chiek Clement Lim, Kyaw Kyar Toe, Cuntai Guan, Rosa So, Wee Chiek Clement Lim, Kai Keng Ang, Kyaw Kyar Toe, Camilo Libedinsky, Cuntai Guan
Brain-machine interface (BMI) systems have the potential to restore function to people who suffer from paralysis due to a spinal cord injury. However, in order to achieve long-term use, BMI systems have to overcome two challenges - signal degeneration over time, and non-stationarity of signals. Effects of loss in spike signals over time can be mitigated by using local field potential (LFP) signals for decoding, and a solution to address the signal non-stationarity is to use adaptive methods for periodic recalibration of the decoding model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227805/modular-multipin-electrodes-for-comfortable-dry-eeg
#17
P Fiedler, D Strohmeier, A Hunold, S Griebel, R Muhle, M Schreiber, P Pedrosa, B Vasconcelos, C Fonseca, F Vaz, J Haueisen, P Fiedler, D Strohmeier, A Hunold, S Griebel, R Muhle, M Schreiber, P Pedrosa, B Vasconcelos, C Fonseca, F Vaz, J Haueisen, P Pedrosa, F Vaz, P Fiedler, B Vasconcelos, J Haueisen, M Schreiber, R Muhle, C Fonseca, S Griebel, D Strohmeier, A Hunold
Electrode and cap concepts for continuous and ubiquitous monitoring of brain activity will open up new fields of application and contribute to increased use of electroencephalography (EEG) in clinical routine, neurosciences, brain-computer-interfacing and out-of-the-lab monitoring. However, mobile and unobtrusive applications are currently hindered by the lack of applicable convenient and reliable electrode and cap systems. We propose a novel modular electrode concept based on a flexible polymer substrate, coated with electrically conductive metallic films...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227797/human-robot-collaborated-path-planning-for-bevel-tip-needle-steering-in-simulated-human-environment
#18
Jing Xiong, Zeyang Xia, Yangzhou Gan, Jing Xiong, Zeyang Xia, Yangzhou Gan, Yangzhou Gan, Jing Xiong, Zeyang Xia
Clinical Application of linear percutaneous needle insertion is restricted due to issues such as limited path and deflection. Thus steering of flexible needle is critical demanded in the clinic. Previous studies tended to use autonomous methods to conduct path planning for needle steering. However, these methods had very limited adaptabilities, and they also decreased the human operator's domination of the operation, as clinically required. In this case, teleoperation has been an option, while in complicated environments sole teleoperation is not sufficient for a human operator to generate multi-curved insertion path...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227795/simplified-realistic-human-head-model-for-simulating-tumor-treating-fields-ttfields
#19
Cornelia Wenger, Ze'ev Bomzon, Ricardo Salvador, Peter J Basser, Pedro C Miranda, Cornelia Wenger, Ze'ev Bomzon, Ricardo Salvador, Peter J Basser, Pedro C Miranda, Peter J Basser, Pedro C Miranda, Cornelia Wenger, Ricardo Salvador, Ze'ev Bomzon
Tumor Treating Fields (TTFields) are alternating electric fields in the intermediate frequency range (100-300 kHz) of low-intensity (1-3 V/cm). TTFields are an anti-mitotic treatment against solid tumors, which are approved for Glioblastoma Multiforme (GBM) patients. These electric fields are induced non-invasively by transducer arrays placed directly on the patient's scalp. Cell culture experiments showed that treatment efficacy is dependent on the induced field intensity. In clinical practice, a software called NovoTal(TM) uses head measurements to estimate the optimal array placement to maximize the electric field delivery to the tumor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227751/a-time-domain-frequency-selective-multivariate-granger-causality-approach
#20
Lutz Leistritz, Herbert Witte, Lutz Leistritz, Herbert Witte, Lutz Leistritz, Herbert Witte
The investigation of effective connectivity is one of the major topics in computational neuroscience to understand the interaction between spatially distributed neuronal units of the brain. Thus, a wide variety of methods has been developed during the last decades to investigate functional and effective connectivity in multivariate systems. Their spectrum ranges from model-based to model-free approaches with a clear separation into time and frequency range methods. We present in this simulation study a novel time domain approach based on Granger's principle of predictability, which allows frequency-selective considerations of directed interactions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
keyword
keyword
17087
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"