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https://www.readbyqxmd.com/read/28228005/strained-germanium-quantum-well-pmosfets-on-soi-with-mobility-enhancement-by-external-uniaxial-stress
#1
Yan Liu, Jiebin Niu, Hongjuan Wang, Genquan Han, Chunfu Zhang, Qian Feng, Jincheng Zhang, Yue Hao
Well-behaved Ge quantum well (QW) p-channel metal-oxide-semiconductor field-effect transistors (pMOSFETs) were fabricated on silicon-on-insulator (SOI) substrate. By optimizing the growth conditions, ultrathin fully strained Ge film was directly epitaxially grown on SOI at about 450 °C using ultra-high vacuum chemical vapor deposition. In situ Si2H6 passivation of Ge was utilized to form a high-quality SiO2/Si interfacial layer between the high-κ dielectric and channels. Strained Ge QW pMOSFETs achieve the significantly improved effective hole mobility μ eff as compared with the relaxed Si and Ge control devices...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28227968/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#2
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/28227959/localizing-seizure-onset-zone-by-convolutional-transfer-entropy-from-ieeg
#3
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/28227899/peripheral-sensory-stimulation-is-neuroprotective-in-a-rat-photothrombotic-ischemic-stroke-model
#4
Aishwarya Bandla, Chua Le Teng Sherry, Frances Lim, Chan Kim Chuan, Lun-De Liao, Nitish V Thakor, Aishwarya Bandla, Chua Le Teng Sherry, Frances Lim, Chan Kim Chuan, Lun-De Liao, Nitish V Thakor, Lun-De Liao, Nitish V Thakor, Frances Lim, Chua Le Teng Sherry, Aishwarya Bandla, Chan Kim Chuan
Ischemic stroke is one of the leading causes of death and disability in the world. Thrombolytic therapy using recombinant tissue plasminogen activator (rtPA), the only FDA-approved drug for acute ischemia, is limited by a narrow therapeutic time window and risk of hemorrhage. There is a serious need for a neuroprotective therapy which is clinically viable. We earlier demonstrated that peripheral sensory stimulation (PSS) is a potential therapeutic intervention for hyperacute ischemia resulting in recovery of neurovascular functions when administered immediately following ischemia onset in a rat model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227889/shape-memory-alloy-smart-knee-spacer-to-enhance-knee-functionality-model-design-and-finite-element-analysis
#5
Arvind Gautam, A Bhargavi Rani, Miguel A Callejas, Swati Ghosh Acharyya, Amit Acharyya, Dwaipayan Biswas, Vasundhra Bhandari, Paresh Sharma, Ganesh R Naik, Arvind Gautam, A Bhargavi Rani, Miguel A Callejas, Swati Ghosh Acharyya, Amit Acharyya, Dwaipayan Biswas, Vasundhra Bhandari, Paresh Sharma, Ganesh R Naik, Swati Ghosh Acharyya, Paresh Sharma, Vasundhra Bhandari, A Bhargavi Rani, Arvind Gautam, Dwaipayan Biswas, Miguel A Callejas, Amit Acharyya
In this paper we introduce Shape Memory Alloy (SMA) for designing the tibial part of Total Knee Arthroplasty (TKA) by exploiting the shape-memory and pseudo-elasticity property of the SMA (e.g. NiTi). This would eliminate the drawbacks of the state-of-the art PMMA based knee-spacer including fracture, sustainability, dislocation, tilting, translation and subluxation for tackling the Osteoarthritis especially for the aged people of 45-plus or the athletes. In this paper a Computer Aided Design (CAD) model using SolidWorks for the knee-spacer is presented based on the proposed SMA adopting the state-of-the art industry-standard geometry that is used in the PMMA based spacer design...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227865/a-dce-mri-imaging-based-model-for-simulation-of-vascular-tumour-growth
#6
Thais Roque, Veerle Kersemans, Sean Smart, Danny Allen, Julia A Schnabel, Michael Chappell, Thais Roque, Veerle Kersemans, Sean Smart, Danny Allen, Julia A Schnabel, Michael Chappell, Sean Smart, Michael Chappell, Veerle Kersemans, Danny Allen, Julia A Schnabel, Thais Roque
Imaging-based modelling of tumour growth can serve as a powerful tool to understand and predict tumour evolution and its response to therapy. The purpose of this study was to introduce, calibrate and evaluate a multi-scale model of vascular tumour growth. The model allows for proliferation, death and spatial spread of tumour cells as well as for new vessel creation. Both the calibration and the evaluation of the tumour growth model were performed using pre-clinical longitudinal time series of dynamic contrast-enhanced magnetic resonance imaging of colon carcinoma...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227864/automatic-segmentation-of-multimodal-brain-tumor-images-based-on-classification-of-super-voxels
#7
M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, K Ward, S M R Soroushmehr, A All, S Samavi, M Kadkhodaei, H Mohaghegh, K Najarian, N Karimi
Despite the rapid growth in brain tumor segmentation approaches, there are still many challenges in this field. Automatic segmentation of brain images has a critical role in decreasing the burden of manual labeling and increasing robustness of brain tumor diagnosis. We consider segmentation of glioma tumors, which have a wide variation in size, shape and appearance properties. In this paper images are enhanced and normalized to same scale in a preprocessing step. The enhanced images are then segmented based on their intensities using 3D super-voxels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227855/simultaneous-reconstruction-and-segmentation-with-the-mumford-shah-functional-for-electron-tomography
#8
Li Shen, Eric Todd Quinto, Shiqiang Wang, Ming Jiang, Li Shen, Eric Todd Quinto, Shiqiang Wang, Ming Jiang, Ming Jiang, Eric Todd Quinto, Shiqiang Wang, Li Shen
Electron micrography (EM) is an important method for determining the three-dimensional (3D) structure of macromolecular complexes and biological specimens. But there are several limitations such as poor signal-to-noise, limitation on range of tilt angles and sub-region subject to electron exposure, unintentional movements of the specimen, with EM systems that make the reconstruction procedure a severely ill-posed problem. A different choice of reconstruction method may lead to different results and create different additional artifacts in reconstructed images...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227850/a-kalman-filter-to-estimate-altitude-change-during-a-fall
#9
Michael C Stevens, Wei Lu, Changhong Wang, Stephen J Redmond, Nigel H Lovell, Michael C Stevens, Wei Lu, Changhong Wang, Stephen J Redmond, Nigel H Lovell, Changhong Wang, Wei Lu, Stephen J Redmond, Nigel H Lovell, Michael C Stevens
Barometers have been incorporated into fall detectors in order to enhance the accuracy of fall detection algorithms, however they are power-hungry devices. We present an offline evaluation of a Kalman filter (KF) for estimating the pressure change during a fall that enables low-power operation of the barometer. The KF takes advantage of the fact that a semi-permeable air membrane on a waterproof fall detector enclosure causes a delay in the equilibrium between internal and external enclosure pressure, and this delay enables the barometer to be switched off until a free-fall is detected...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227849/smartphone-based-real-time-speech-enhancement-for-improving-hearing-aids-speech-perception
#10
Yu Rao, Yiya Hao, Issa M S Panahi, Nasser Kehtarnavaz, Yu Rao, Yiya Hao, Issa M S Panahi, Nasser Kehtarnavaz, Yu Rao, Issa M S Panahi, Yiya Hao, Nasser Kehtarnavaz
In this paper, the development of a speech processing pipeline on smartphones for hearing aid devices (HADs) is presented. This pipeline is used for noise suppression and speech enhancement (SE) to improve speech quality and intelligibility. The proposed method is implemented to run in real-time on Android smartphones. The results of the testing conducted indicate that the proposed method suppresses the noise and improves the perceptual quality of speech in terms of three objective measures of perceptual evaluation of speech quality (PESQ), noise attenuation level (NAL), and the coherent speech intelligibility index (CSD)...
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
#11
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/28227842/phase-modulation-based-response-inhibition-outcome-prediction-in-translational-scenario-of-stop-signal-task
#12
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/28227830/an-adaptive-model-approach-for-quantitative-wrist-rigidity-evaluation-during-deep-brain-stimulation-surgery
#13
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/28227823/smartphone-based-swallowing-monitoring-and-feedback-device-for-mealtime-assistance-in-nursing-homes
#14
Naomi Kuramoto, Dushyantha Jayatilake, Kikue Hidaka, Kenji Suzuki, Naomi Kuramoto, Dushyantha Jayatilake, Kikue Hidaka, Kenji Suzuki, Kenji Suzuki, Kikue Hidaka, Dushyantha Jayatilake, Naomi Kuramoto
As many of the elderly are prone to dysphagia, preventing aspirations during mealtime assistance is a huge concern, especially for institutions operated with limited staff. Two of the main course of actions that are taken usually to prevent aspiration are the altering of bolus consistency and altering of the swallowing posture. To assist prevention of pneumonia, we have been developing a smartphone-based wearable technology that can evaluate swallowing ability in real-time. In this paper we will introduce modified version of Swallwoscope adding a posture detection system and a remote swallowing activity visualisation system to our previous work...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227818/detecting-divisions-of-the-autonomic-nervous-system-using-wearables
#15
Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Kevin S Xu, Brian Eriksson, Annamalai Natarajan
The ability to assess a user's emotional reaction from biometrics has applications in personalization, recommendation, and enhancing user experiences, among other areas. Unfortunately, understanding the connection between biometric signals and user reactions has previously focused on black box techniques that are opaque to the underlying physiology of the user. In this paper, we explore a novel user study connecting biometric reaction to external stimuli and changes in the user's autonomic nervous system. Specifically, we focus on two competing responses, namely the sympathetic and parasympathetic nervous system, and how differing activations are related to different user responses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227815/lab-on-chips-for-manipulation-of-small-scale-organisms-to-facilitate-imaging-of-neurons-and-organs
#16
Ramtin Ardeshiri, Pouya Rezai, Ramtin Ardeshiri, Pouya Rezai, Ramtin Ardeshiri, Pouya Rezai
Caenorhabditis elegans (C. elegans) and Drosophila melanogaster (D. melanogaster) are widely-used model organisms for neurological and cardiac studies due to their simple neuronal (302 neurons in C. elegans) and cardiac (simple tubular organ in D. melanogaster) systems. However, their small sizes and continuous mobility impede their precise and timely manipulation, hence, limiting the assays that can be done using conventional manual methods. This has resulted in a need for technologies that allow multidirectional manipulation of model organisms to enable studies on target neurons and organs throughout the body...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227774/simulating-the-effects-of-growth-and-fiber-dispersion-on-the-electromechanical-response-of-a-cardiac-ventricular-wedge-affected-from-concentric-hypertrophy
#17
Fabrizio Del Bianco, Piero Colli Franzone, Simone Scacchi, Lorenzo Fassina, Fabrizio Del Bianco, Piero Colli Franzone, Simone Scacchi, Lorenzo Fassina, Lorenzo Fassina, Piero Colli Franzone, Fabrizio Del Bianco, Simone Scacchi
In this paper, we analyze the epicardial electromechanical response of an in silico cardiac ventricular wedge under both healthy and concentric hypertrophic conditions. This is achieved by taking into account the growth of the wedge thickness and the fiber dispersion that may follow. The electromechanical response is described in terms of some macroscopic measures, i.e. the action potential duration, the conduction velocity, the contractility and the contraction force. Our results suggest that growth reduces the action potential duration and conduction velocity, whilst it increases the contractility and contraction force, yielding an overall negative effect...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227767/regional-brain-activity-that-determines-successful-and-unsuccessful-working-memory-formation
#18
Shohei Teramoto, Tsubasa Inaoka, Yumie Ono, Shohei Teramoto, Tsubasa Inaoka, Yumie Ono, Shohei Teramoto, Tsubasa Inaoka, Yumie Ono
Using EEG source reconstruction with Multiple Sparse Priors (MSP), we investigated the regional brain activity that determines successful memory encoding in two participant groups of high and low accuracy rates. Eighteen healthy young adults performed a sequential fashion of visual Sternberg memory task. The 32-channel EEG was continuously measured during participants performed two 70 trials of memory task. The regional brain activity corresponding to the oscillatory EEG activity in the alpha band (8-13 Hz) during encoding period was analyzed by MSP implemented in SPM8...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227764/enhanced-dual-stage-correlated-diffusion-imaging
#19
Farzad Khalvati, Junjie Zhang, Masoom A Haider, Alexander Wong, Farzad Khalvati, Junjie Zhang, Masoom A Haider, Alexander Wong, Farzad Khalvati, Alexander Wong, Junjie Zhang, Masoom A Haider
Prostate cancer is the most common form of cancer and third leading cause of cancer death in Canadian men. Multi-parametric magnetic resonance imaging (mpMRI) has become a powerful non-invasive diagnostic tool for the detection of prostate cancer. Among mpMRI imaging modalities, diffusion-weighed imaging has shown the most promising results in accurate detection of prostate cancer. Introduced recently, correlated diffusion imaging (CDI) is a new form of diffusion imaging which accounts for the joint correlation of diffusion signal attenuation across multiple gradient pulse strengths and timings to improve the separability of cancerous and healthy tissues...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227740/influence-of-force-feedback-on-grasp-force-modulation-in-prosthetic-applications-a-preliminary-study
#20
Sasha B Godfrey, Matteo Bianchi, Antonio Bicchi, Marco Santello, Sasha B Godfrey, Matteo Bianchi, Antonio Bicchi, Marco Santello, Marco Santello, Antonio Bicchi, Sasha B Godfrey, Matteo Bianchi
In typical movement, humans use a combination of feed-forward and feedback motor control strategies to interact with the world around them. However, when sensory input is impaired or absent, as in the case of various neuropathies or amputation, the ability to perform everyday tasks, like modulating grip force to object weight, can be affected. In this study, we show the results of a preliminary study using a pressure cuff-like force feedback device (CUFF) with the SoftHand Pro (SHP) prosthetic hand. Subjects lifted an object of various weights using their own hand, with the SHP without feedback, and the SHP with force feedback...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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