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https://www.readbyqxmd.com/read/28228002/custom-shaped-organic-photovoltaic-modules-freedom-of-design-by-printing
#1
M Välimäki, E Jansson, P Korhonen, A Peltoniemi, S Rousu
Freedom of design that was introduced as organic photovoltaic (OPV) modules were fabricated by printing. As proof-of-concept, we show OPV leaf fabrication in A5 size using gravure and rotary screen printing processes for the main active layers of the OPV structure. These printing methods allow direct printing of any kind of arbitrary, two-dimensional shapes including patterning of the electric contacts thus post-patterning stages are not needed. Fabrication of custom-shaped OPV modules requires detailed information about the technical boundaries set by the manufacturing process and materials which in turn influence the layout design and R2R upscaling...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28227983/3d-small-structure-detection-in-medical-image-using-texture-analysis
#2
Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Min Zhang, Teresa Wu, Fei Gao, Kevin M Bennett
Small structure segmentation from medical images is a challenging problem yet has important applications. Examples are labeling cell, lesion and glomeruli for disease diagnosis, just to name a few. Though extensive research has proposed various detectors for this type of problem, most are 2D detectors. Recently, we have developed a Hessian based 3D detector to segment small structures from medical images (e.g., MRI). In our detector, two 3D geometrical features: regional blobness and flatness, in conjunction with the intensity features are fully utilized to serve the segmentation purpose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227976/user-intent-prediction-with-a-scaled-conjugate-gradient-trained-artificial-neural-network-for-lower-limb-amputees-using-a-powered-prosthesis
#3
Richard B Woodward, John A Spanias, Levi J Hargrove, Richard B Woodward, John A Spanias, Levi J Hargrove, John A Spanias, Richard B Woodward, Levi J Hargrove
Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which can allow activities such as climbing stairs and descending ramps, something which many amputees struggle with when using non-powered limbs. Previous literature has shown how pattern classification can allow seamless transitions between modes with a high accuracy and without any user interaction. Although accurate, training and testing each subject with their own dependent data is time consuming...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227968/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#4
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Luke E Osborn, Christopher L Hunt, Nitish V Thakor, Rahul R Kaliki, Joseph L Betthauser
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227967/a-stimulation-driven-exoskeleton-for-walking-after-paraplegia
#5
Sarah R Chang, Mark J Nandor, Lu Li, Kevin M Foglyano, John R Schnellenberger, Rudi Kobetic, Roger D Quinn, Ronald J Triolo, Sarah R Chang, Mark J Nandor, Lu Li, Kevin M Foglyano, John R Schnellenberger, Rudi Kobetic, Roger D Quinn, Ronald J Triolo, Mark J Nandor, Rudi Kobetic, Roger D Quinn, John R Schnellenberger, Sarah R Chang, Kevin M Foglyano, Lu Li, Ronald J Triolo
An untethered version of a stimulation-driven exoskeleton was evaluated for its ability to restore walking after paralysis from spinal cord injury. The hybrid neuroprosthesis (HNP) combined a passive variable-constraint exoskeleton for stability and support with functional neuromuscular stimulation (FNS) to contract the paralyzed muscles to drive limb movement. This self-contained HNP was operated by an onboard controller that sampled sensor signals, generated appropriate commands to both the exoskeletal constraints and integrated stimulator, and transmitted data wirelessly via Bluetooth to an off-board computer for real-time monitoring and recording for offline analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227946/analysis-of-effective-sit-to-stand-therapy-using-kinematic-synergies
#6
Bryan Lao, Tomoya Tamei, Kazushi Ikeda, Bryan Lao, Tomoya Tamei, Kazushi Ikeda, Tomoya Tamei, Bryan Lao, Kazushi Ikeda
Understanding effective sit-to-stand (STS) movement is essential for improving rehabilitation strategies and developing services for the rapidly increasing number of elderly people. This study aims at identifying effective STS therapy by analyzing the kinematic synergies of movements induced by therapists of different skill-levels. Three synergies were found to share the same temporal pattern in both joint angles and center-of-mass spaces across all therapists. Effective strategy used by a skilled therapist and strategy flaws of less-experienced therapists were revealed through comparison of spatial patterns...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227916/development-and-pilot-clinical-evaluation-of-a-haptic-based-perception-empathy-biofeedback-device-for-gait-rehabilitation
#7
Kenta Saichi, Kazuhiro Yasuda, Yu Kitaji, Naomi Kaibuki, Hiroyasu Iwata, Kenta Saichi, Kazuhiro Yasuda, Yu Kitaji, Naomi Kaibuki, Hiroyasu Iwata
Recent studies have shown that haptic feedback on the body, either at or away from the desired gait parameter to be changed, can improve gait performance. Here we introduced a haptic-based biofeedback device to supplement the foot pressure information of a paretic foot with a wearable vibrotactile biofeedback device attached to the back. This system provides information regarding a patient's foot pressure pattern to the patient and physical therapist. Therefore, the biofeedback system can share information regarding abnormal gait patterns between patients and therapists...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227905/a-supervised-learning-rule-for-classification-of-spatiotemporal-spike-patterns
#8
Lilin Guo, Zhenzhong Wang, Malek Adjouadi, Lilin Guo, Zhenzhong Wang, Malek Adjouadi, Lilin Guo, Zhenzhong Wang, Malek Adjouadi
This study introduces a novel supervised algorithm for spiking neurons that take into consideration synapse delays and axonal delays associated with weights. It can be utilized for both classification and association and uses several biologically influenced properties, such as axonal and synaptic delays. This algorithm also takes into consideration spike-timing-dependent plasticity as in Remote Supervised Method (ReSuMe). This paper focuses on the classification aspect alone. Spiked neurons trained according to this proposed learning rule are capable of classifying different categories by the associated sequences of precisely timed spikes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227896/intarsia-sensorized-band-and-textrodes-for-real-time-myoelectric-pattern-recognition
#9
Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane, Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane, Max Ortiz-Catalan, Fernando Seoane, Kristian Rodby, Shannon Brown, Joel Petersson
Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited. In this study we designed and evaluated a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques and knitted textile electrodes. Real-time myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227894/wearable-strain-sensors-fabricated-by-silver-nanowire-patterning-method-based-on-parylene-stencil-technique
#10
Namsun Chou, Sohee Kim, Namsun Chou, Sohee Kim, Namsun Chou, Sohee Kim
This paper describes a fabrication method of the silver nanowire (AgNW) patterns on PDMS substrate using a parylene stencil technique. The AgNW electrodes with the straight line and serpentine line traces were fabricated and characterized in terms of electromechanical properties. The sensitivity of the AgNW patterns was measured using a custom-designed stretch test module, resulting in gauge factors from 55.2 to 2.7 at 2% strain for two different 100 um-wide AgNW patterns. The wearable sensor based on AgNW patterns was designed and fabricated to epidermally detect the respiration and heart rate from the abdomen and neck...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227887/hip-joint-geometry-effects-on-cartilage-contact-stresses-during-a-gait-cycle
#11
Hui-Hui Wu, Dong Wang, An-Bang Ma, Dong-Yun Gu, Hui-Hui Wu, Dong Wang, An-Bang Ma, Dong-Yun Gu, An-Bang Ma, Dong-Yun Gu, Hui-Hui Wu, Dong Wang
The cartilage surface geometry of natural human hip joint is commonly regarded as sphere. It has been widely applied in computational simulation and hip joint prosthesis design. Some new geometry models have been developed and the sphere assumption has been questioned recently. The objective of this study was to analyze joint geometry effects on cartilage contact stress distribution and investigate contact patterns during a whole gait cycle. Hip surface was reconstructed from CT data of a healthy volunteer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227844/maximum-entropy-based-common-spatial-patterns-for-motor-imagery-classification
#12
Syed Salman Ali, Lei Zhang, Syed Salman Ali, Lei Zhang, Syed Salman Ali, Lei Zhang
The common spatial pattern (CSP) is extensively used to extract discriminative feature from raw Electroencephalography (EEG) signals for motor imagery classification. The CSP is a statistical signal processing technique, which relies on sample based covariance matrix estimation to give discriminative information from raw EEG signals. The sample based estimation of covariance matrix becomes a problem when the number of training samples is limited, which causes the performance of CSP based brain computer interface (BCI) to degrade significantly...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227842/phase-modulation-based-response-inhibition-outcome-prediction-in-translational-scenario-of-stop-signal-task
#13
Rupesh Kumar Chikara, Li-Wei Ko, Rupesh Kumar Chikara, Li-Wei Ko, Li-Wei Ko, Rupesh Kumar Chikara
In this paper, a method is proposed to predict the resting-state outcomes of participants based on their electroencephalogram (EEG) signals recorded before the successful /unsuccessful response inhibition. The motivation of this study is to enhance the shooter performance for shooting the target, when their EEG patterns show that they are ready. This method can be used in brain-computer interface (BCI) system. In this study, multi-channel EEG from twenty participants are collected by the electrodes placed at different scalp locations in resting-state time...
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
#14
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/28227810/noninvasive-eeg-correlates-of-overground-and-stair-walking
#15
Justin A Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna T Winslow, Helen Huang, Jose L Contreras-Vidal, Justin A Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna T Winslow, Helen Huang, Jose L Contreras-Vidal, Fangshi Zhu, Recep Ozdemir, Justin A Brantley, Helen Huang, Anna T Winslow, Jose L Contreras-Vidal, Trieu Phat Luu
Automated walking intention detection remains a challenge in lower-limb neuroprosthetic systems. Here, we assess the feasibility of extracting motor intent from scalp electroencephalography (EEG). First, we evaluated the corticomuscular coherence between central EEG electrodes (C1, Cz, C2) and muscles of the shank and thigh during walking on level ground and stairs. Second, we trained decoders to predict the linear envelope of the surface electromyogram (EMG). We observed significant EEG-led corticomuscular coupling between electrodes and sEMG (tibialis anterior) in the high delta (3-4 Hz) and low theta (4-5 Hz) frequency bands during level walking, indicating efferent signaling from the cortex to peripheral motor neurons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227800/a-fresh-perspective-on-dissecting-action-into-discrete-submotions
#16
Justin Horowitz, Yazan Abdel Majeed, James Patton, Justin Horowitz, Yazan Abdel Majeed, James Patton, Justin Horowitz, Yazan Abdel Majeed, James Patton
The hypothesis that reaching motions are constructed from discrete components has been explored since the earliest scientific investigations of human movement, although composition specifics have been contentious. We reinspect this process by analyzing the underlying motor intent (rather than actual motion) using our recently-developed intent determination technique. First, synthetic data analysis was used to determine our accuracy in detecting submotion events. Next, we evaluated this on healthy reaching movements and overcame the problem of indistinguishably blended submotions by exposing subjects to strong, abruptly changing forces, which lead to clear corrections identifiable using direction-based clustering...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227786/a-tunable-digital-ishihara-plate-for-pre-school-aged-children
#17
Orazio Gambino, Ester Minafo, Roberto Pirrone, Edoardo Ardizzone, Orazio Gambino, Ester Minafo, Roberto Pirrone, Edoardo Ardizzone, Ester Minafo, Edoardo Ardizzone, Roberto Pirrone, Orazio Gambino
Colors play a fundamental role for children, both in the everyday life and in education. They recognize the surrounding world, and play games making a large use of colors. They learn letters and numbers by means of colors. As a consequence, early diagnosis of color blindness is an crucial to support an individual affected by this visual perception alteration at the initial phase of his/her life. The diagnosis of red-green color deficiencies (protanopia or deuteranopia) is commonly accomplished by means of the Ishihara test, which consists of plates showing dots with different sizes where some of them compose numbers within a gamut of colors while the ones composing the background have different colors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227782/predicting-short-term-icu-outcomes-using-a-sequential-contrast-motif-based-classification-framework
#18
Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li
Critical ICU events like acute hypotension and septic shock are dangerous complications, leading to multiple organ failures and eventual death. Previously, pattern mining algorithms have been employed for extracting interesting rules in various clinical domains. However, the extracted rules are directly investigated by clinicians for diagnosing a disease. Towards this purpose, there is a need to develop advanced prediction models which integrate dynamic patterns to learn a patient's physiological condition...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227779/revealing-oral-medication-patterns-from-reconstructed-long-term-medication-history-of-type-2-diabetes
#19
Purnomo Husnul Khotimah, Yuichi Sugiyama, Masatoshi Yoshikawa, Akihiro Hamasaki, Kazuya Okamoto, Tomohiro Kuroda, Purnomo Husnul Khotimah, Yuichi Sugiyama, Masatoshi Yoshikawa, Akihiro Hamasaki, Kazuya Okamoto, Tomohiro Kuroda, Kazuya Okamoto, Purnomo Husnul Khotimah, Yuichi Sugiyama, Akihiro Hamasaki, Masatoshi Yoshikawa, Tomohiro Kuroda
With the growing attention to evidence-based medical guideline development, longitudinal analysis of Electronic Medical Records (EMR) has become a good tool for providing insight into and new knowledge on the existing therapy. For chronic diseases, longitudinal analysis of medication history plays a key role in reaching this goal. However, raw medication data in EMR are not suitable for longitudinal analysis for several reasons. First, many prescriptions have a short duration. Second, the prescription duration may have a gap or overlap with other prescription durations...
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
#20
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
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