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Abstract In this paper, the open source Matlab toolbox Gait-CAD is presented. This toolbox is designed for the visualization and analysis of time series and single features with a special focus to classification problems. The aim is to... more
Abstract In this paper, the open source Matlab toolbox Gait-CAD is presented. This toolbox is designed for the visualization and analysis of time series and single features with a special focus to classification problems. The aim is to provide an open platform for the ...
ABSTRACT Der Beitrag beschreibt eine MATLAB-Toolbox zur Segmentierung der Gesteinskörnungen in Asphalt-Probekörpern und deren Kopplung an die Data-Mining-Toolbox Gait-CAD. Auf der Basis von einfachen Kameraaufnahmen mit eingebrachtem... more
ABSTRACT Der Beitrag beschreibt eine MATLAB-Toolbox zur Segmentierung der Gesteinskörnungen in Asphalt-Probekörpern und deren Kopplung an die Data-Mining-Toolbox Gait-CAD. Auf der Basis von einfachen Kameraaufnahmen mit eingebrachtem Maßstab wird ein Algorithmus vorgestellt, der Gesteinskörnungen robust erkennt und in vorgegebene Kornklassen einteilt. Innerhalb einer grafischen Benutzerschnittstelle kann der Anwender die Prozessierung durch Standardelemente (Menüeinträge, Check-Boxen etc.) steuern und grundlegende Parameter anpassen. Alle Gesteinskörnungen werden dann in einen Merkmalsraumüberführt und können mit der Data- Mining-Toolbox Gait-CAD prozessiert werden.
... Page 2. Raum C (Virgil), Sa, 27.9., 09:00 -10:00 Rehabilitation l ... 23.1 ±3.9 2.6±0.7 1.9±0.6 16.5±3.2 38.9±2.4 -0.7±0.1 In Zeiten knapper Ressourcen besteht großes Interesse an einem integrativen Parameter zur Überprüfung... more
... Page 2. Raum C (Virgil), Sa, 27.9., 09:00 -10:00 Rehabilitation l ... 23.1 ±3.9 2.6±0.7 1.9±0.6 16.5±3.2 38.9±2.4 -0.7±0.1 In Zeiten knapper Ressourcen besteht großes Interesse an einem integrativen Parameter zur Überprüfung ver-schiedener Lokomotionstherapien. ...
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Page 1. 1 Einfçhrung Bei der minimal invasiven Chirurgie (MIC) [1] reichen kleine Einschnitte (Laparoskopie) oder natçrliche Úffnun-gen (Colonoskopie) aus, um chirurgische Eingriffe vorzu-nehmen. Ûber die Úffnungen werden ...
Eine rein schlagwortbasierte Suche stößt hier auf die bekannten Probleme: 1. Die Qualität der Suchergebnisse hängt stark von einer geschickten Komposition der Suchbegriffe ab. Oft werden viele irrelevante Dokumente gefunden, die die... more
Eine rein schlagwortbasierte Suche stößt hier auf die bekannten Probleme: 1. Die Qualität der Suchergebnisse hängt stark von einer geschickten Komposition der Suchbegriffe ab. Oft werden viele irrelevante Dokumente gefunden, die die jeweiligen Schlagwörter enthalten. Hingegen werden relevante Dokumente selbst bei geringfügig abweichenden Begriffen (zB Synonymen) nicht gefunden. Semantische Suchanfragen (zB” Finde Dokumente, die Methoden der Bioinformatik zur Modellierung der Toxizität bei Zebrabärblingen einsetzen” ...
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Abstract: Most approaches for the data-based design... this paper is to construct an appropriate criterion for evaluating partitions or MBFs and to search for the optimal value. The algorithm bases on information-theoretical measures [8]... more
Abstract: Most approaches for the data-based design... this paper is to construct an appropriate criterion for evaluating partitions or MBFs and to search for the optimal value. The algorithm bases on information-theoretical measures [8] and additional modifications to guarantee the interpretability and practical acceptance of the solutions. Because information-theoretical measures assume a discrete partition of input and output variables, new
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1. Motivation Many technical systems for the control of temperatures require a MIMO (multiple input multiple output) model for the control design. This problem arises in sy stems with higher geometric dimensions, more than one actuating... more
1. Motivation Many technical systems for the control of temperatures require a MIMO (multiple input multiple output) model for the control design. This problem arises in sy stems with higher geometric dimensions, more than one actuating value, strongly coupled str ucture, or extreme precision requirements. In this case, the assumption of equal temperat ures in the complete device is not valid. If higher temperatures occur, a nonlinearity have to be concerned mainly caused by the thermal radiation depending on the absolute temperature val ues but also by actuating characteristics of the heaters. Examples for this t ype of systems are some chemical reactors, heat exchangers, glass melting processes and furnaces for crysta l growth processes. Here, classical control concepts only satisfy near pre-defined oper ating points. Normally, ro- bust linear controllers without adaptation are able to control the proce ss. A compromise has to be found between sufficient disturbance compensation and a stable and non-osci llating behaviour for all operating points. This compromise does not exist if the temperature range of the operating points is very wide. As a consequence, the design of nonlinea r controllers, for instance fuzzy controllers, becomes here an important topic of intere st. In practice, a sophisticated control concept concerning limited actuating values and supervis ion components has to be designed. The model design for industrial plants is restric ted by strongly limited opportunities for experiments. Typically, only data of some narrow opera ting points exist without additional data about process errors, trajectories between the se points and so on. This data contains to many uncertainties for a complete identification of the physical parameters. As a consequence, advanced strategies are required to get a suffic ient model quality including classical identification concepts and linguistic knowledge. In this paper, a hybrid concept of using conventional MIMO controller desig n and fuzzy techniques will be presented. The PI controllers and the decoupling networ k are designed for different linear models. The fuzzy component integrates these diffe rent controllers proceeding linguistic knowledge of experts and classical identification stra tegies. The concept bases on linear identifications with a known process structure (1,2). Here, diff erent linear sub-models will be computed by use of the parameter-nonlinear Least Square Met hod on the base of output errors and numerical optimization. Additional qualitative knowledge a bout the process supports the design of the fuzzy components (3). The aims of this paper are,
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ABSTRACT Dieser Beitrag widmet sich der Analyse der Auswirkungen von Preissignalen auf das Verbrauchsverhalten von Haushaltsstromkunden. Er schlägt einen systematischen Auswerteprozess vor, der die Datenvorverarbeitung, verschiedene... more
ABSTRACT Dieser Beitrag widmet sich der Analyse der Auswirkungen von Preissignalen auf das Verbrauchsverhalten von Haushaltsstromkunden. Er schlägt einen systematischen Auswerteprozess vor, der die Datenvorverarbeitung, verschiedene Aggregationsschritte, die Analyse mit Clusterverfahren (für preisbeeinflusste Typtage bei einzelnen oder aggregierten Haushalten) und die Analyse einzelner Abtastzeitpunkte umfasst. Dieser Auswerteprozess wird auf den Olympic Peninsula Project Datensatz angewendet. The article is dedicated to the analysis of the effects of different price signals on the consumption behavior of household electricity customers. It proposes a systematic analysis process consisting of data preprocessing, different aggregation steps, the analysis with clustering methods and the analysis of time samples. This analysis process was applied to the Olympic Peninsula Project database.
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Research Interests: Fuzzy Logic, Drug development, High throughput screening, Multidrug Resistance, Antimicrobial activity, and 8 moreQuantitative Structure Activity Relationship, Peptide, Antimicrobial Peptide, Pseudomonas aeruginosa, Amino Acid Profile, Pseudomonas Aeruginosa, Peptide Therapeutics, and Biochemistry and cell biology
... 12, 76131 Karlsruhe, Germany Email: tim.pychynski@kit.edu ... data-driven surrogate models reproduce system relationships through mathematical expressions that are trained on the basis of available data, eg in the form of Artificial... more
... 12, 76131 Karlsruhe, Germany Email: tim.pychynski@kit.edu ... data-driven surrogate models reproduce system relationships through mathematical expressions that are trained on the basis of available data, eg in the form of Artificial Neural Networks (ANN, Haykin [6]), Multiple ...
Retrospective study utilising clinical records and public administration databases. This study was performed to analyse the clinical presentation and survival rate of individuals with spinal cord injury (SCI) due to spinal metastasis... more
Retrospective study utilising clinical records and public administration databases. This study was performed to analyse the clinical presentation and survival rate of individuals with spinal cord injury (SCI) due to spinal metastasis after primary treatment, and to evaluate the efficacy of rehabilitative efforts. Spinal Cord Injury Unit, University Hospital, Heidelberg. A total of 68 consecutive patients were included. Demographics, clinical data, tumour type, level and completeness of SCI, initial treatment, functional independence measure (FIM) and survival time were derived from hospital and public administration databases. Cox regression and fuzzy logic rule generation were used for statistical analysis. Of the 68 patients, 66 patients died 11 months (median, interquartile range (IQR) 4-29 months) after the onset of neurological symptoms at an average age of 58 years. The functional independence measure (FIM) score describing the general clinical and functional status proved to be the most reliable prognostic factor of survival. Other more specific parameters (eg tumour type or level of lesion) did not have such an impact. In total, 51 patients completed the rehabilitation programme within 50 days (median, IQR 27-99 days). The FIM score improved from 62 at admission to 84 at discharge. The clinical and functional status is a valuable prognostic factor for survival. Since institutionalised rehabilitative efforts are effective, this group of patients should be accepted into such a program.
Research Interests: Demography, Public Administration, Fuzzy Logic, Statistical Analysis, Treatment Outcome, and 26 moreAdolescent, Spinal Cord Injury, Humans, Child, Cox Regression, Female, Spinal Cord, Male, Regression Analysis, Length of Stay, Clinical Sciences, Aged, Middle Aged, Adult, Clinical Data, Survival Rate, Retrospective Studies, Prognosis, Study design, Rehabilitation Centers, Clinical Presentation, Retrospective Study, Spinal Cord Injuries, Survival Time, Neurosciences, and Functional Status
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A typical task in technical fault detection or medical diagnosis problems is to discrim- inate normal behavior from one or more types of abnormal behavior by means of dif- ferent measured or computed features. This may lead to difficult... more
A typical task in technical fault detection or medical diagnosis problems is to discrim- inate normal behavior from one or more types of abnormal behavior by means of dif- ferent measured or computed features. This may lead to difficult classification problems due to extremely different a priori proba- bilities of classes and heterogeneous classes (e.g. unknown sub-classes for different er- rors to be detected). In this paper, an ap- proach to design fuzzy classifiers is pre- sented, which is based on decision-theoretic measures and uses a learning data set with feature values and given information about decision and classifier costs.
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... References [1] Gehrig, J.; Reischl, M.; Kalmar, E.; Ferg, M.; Hadzhiev, Y.; Zaucker, A.; Song, C.; Schindler, S.; Liebel, U.; Müller, F.: Automated High Throughput Mapping of ... 5] Andres, B.; Köthe, U.; Helmstaedter, M.; Denk, W.;... more
... References [1] Gehrig, J.; Reischl, M.; Kalmar, E.; Ferg, M.; Hadzhiev, Y.; Zaucker, A.; Song, C.; Schindler, S.; Liebel, U.; Müller, F.: Automated High Throughput Mapping of ... 5] Andres, B.; Köthe, U.; Helmstaedter, M.; Denk, W.; Hamprecht, F.: Segmentation of SBFSEM Vo-lume ...
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Data mining offers a valuable tool for clinical decision sup port in diagnosis, treatment plan- ning, and assessment. Due to several problems, the clinical acceptance of data-based designed systems is limited. To improve acceptance, the... more
Data mining offers a valuable tool for clinical decision sup port in diagnosis, treatment plan- ning, and assessment. Due to several problems, the clinical acceptance of data-based designed systems is limited. To improve acceptance, the presented approach includes relevance information from the rule generation process of fuzzy systems into natural language text for result explanation. 1
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The article proposes a new control scheme for a multifunctional myoelectric control of hand prostheses. Therefore, switch signals are introduced for movement selection. A finite state automaton changes to corresponding movement states... more
The article proposes a new control scheme for a multifunctional myoelectric control of hand prostheses. Therefore, switch signals are introduced for movement selection. A finite state automaton changes to corresponding movement states after having analyzed the switch signal. This is done by data processing algorithms like MANOVA, discriminant analysis and maximum-likelihood estimation. However, implementations using recorded data are not able
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In this paper we present an approach to transfer human-like reflex behavior to robots by utilizing leaky integrate-and-fire neurons. For the acceptance of robots in general and humanoid robots, which are even closer to people's daily... more
In this paper we present an approach to transfer human-like reflex behavior to robots by utilizing leaky integrate-and-fire neurons. For the acceptance of robots in general and humanoid robots, which are even closer to people's daily life, in particular a main aspect is their appearance and how they act and move in human centered environments. Especially safety strategies are crucial for a widespread acceptance of these machines. In our work we target this safety aspect by approaching this issue from the direction how humans respond to external stimuli. To achieve such human-like reflexes a general reflex unit, based on special variants of the leaky integrate-and-fire neuron model has been built. Instances of this reflex unit are adapted to special reflex types and connected to form dependent reflex behaviors. The concept of these neural structures and its evaluation by means of several experiments are presented in this paper. The results are depicted in detail and future aspects of our ongoing work are addressed.
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Recently, locomotion therapy on a treadmill has become part of rehabilitation programs for neurological gait disorders (spinal cord injury, hemiplegia). Instrumental gait analysis is an important tool for quantification of therapy... more
Recently, locomotion therapy on a treadmill has become part of rehabilitation programs for neurological gait disorders (spinal cord injury, hemiplegia). Instrumental gait analysis is an important tool for quantification of therapy progress in terms of functional changes in a patient's gait patterns. Whereas most of current applications focus on diagnostic assessment of gait, the current paper presents an extension of movement analysis offering enhanced therapeutic options. Specifically, the conceptual basis for application of real-time movement feedback in rehabilitation medicine is outlined and is put into context with recent developments in the field. A first technical realization of these concepts is presented and first results are reported. Furthermore, open questions towards a universal environment for movement feedback in rehabilitation medicine are discussed and future lines of research are identified.
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This paper proposes new design strategies for Takagi-Sugeno-Kang classifiers to solve a special class of time-varying classification problems with known or estimated trigger events. The resulting classifiers have lower classification... more
This paper proposes new design strategies for Takagi-Sugeno-Kang classifiers to solve a special class of time-varying classification problems with known or estimated trigger events. The resulting classifiers have lower classification errors than time-invariant classifiers, as well as a lower computational effort and a better interpretability than other multiple classifiers with a time-varying fusion. The strategies are applied to several benchmark
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This article proposes a modular, computer-based methodology to describe and compare medical problems using data mining methods. The methodology focuses on a mathematical formulation of typical classification problems, systematic... more
This article proposes a modular, computer-based methodology to describe and compare medical problems using data mining methods. The methodology focuses on a mathematical formulation of typical classification problems, systematic extraction of interpretable features from time series, and an evaluation adapted to problem-specific preferences and limitations (computational power, interpretability, etc.). The approach is applied to instrumented gait analysis and to the individual design of myoelectric controllers for hand prostheses.
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This chapter describes a computer-based method for analyzing the quantitative structure-activity relationships (QSAR) of antimicrobial peptides. Quantitative or qualitative activity measurements and known peptide sequences are used as... more
This chapter describes a computer-based method for analyzing the quantitative structure-activity relationships (QSAR) of antimicrobial peptides. Quantitative or qualitative activity measurements and known peptide sequences are used as input for the analysis. The analysis steps consist of the preprocessing which specifically deals with dilution series from an assay with luminescent bacteria, transformation of quantitative activity values into activity classes, a feature extraction method using molecular descriptors for amino acids, feature selection methods, visualization strategies, the classifier model design for discrimination of active and inactive peptides, and the in silico design of promising new peptide candidates.
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This work examines the process of grasp type classification based on electromyographic (EMG-) signals by a recently presented multifunctional control scheme. For the latter the online feature extraction out of EMG-signals is described.... more
This work examines the process of grasp type classification based on electromyographic (EMG-) signals by a recently presented multifunctional control scheme. For the latter the online feature extraction out of EMG-signals is described. Features are used to teach the corresponding signal to the system. The teaching process is based on statistical classifiers, fuzzy rulebases and artificial neural networks, respectively. Since there is no knowledge about which classifier serves best for EMG-data several classifiers are compared using data of seven amputated subjects. Subsequently, a routine is presented which generates source code for a microcontroller implementation.
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A growing number of studies provide evidence that the morphology of the corneal subbasal nerve plexus (SNP), examined by corneal confocal microscopy (CCM), is a sensitive marker for diabetic peripheral neuropathy. However, it has been... more
A growing number of studies provide evidence that the morphology of the corneal subbasal nerve plexus (SNP), examined by corneal confocal microscopy (CCM), is a sensitive marker for diabetic peripheral neuropathy. However, it has been established that the field of view of a single CCM image (≈0.16 mm(2)) is insufficient for reliable assessment of corneal nerve fiber morphology. The present work proposes a highly automated technique for imaging an extended area of the SNP and creating large-scale montages. A moving fixation target is presented on a small display in front of the nonexamined eye. By guiding the viewing direction of the subject in an expanding spiral pattern, the scanned corneal area is continuously expanded. Specialized software algorithms subsequently assemble a mosaic image from the acquired CCM image data. The proposed technique was applied in 12 healthy subjects. Montage images of the SNP were successfully created from all examinations performed. The mean imaged SNP area was 9.86 mm(2) (range, 1.62-18.31 mm(2)). The mean CCM duration was 65.33 seconds (range, 14.58-142.58 seconds). The key advances embodied in the proposed technique are its high degree of integration and automation (both for image acquisition and image processing) and the resulting short duration of CCM. By providing an easy-to-use tool for obtaining large-scale mosaic images of the SNP, this technique has the potential to facilitate larger clinical trials where SNP morphology is used as a surrogate marker for peripheral neuropathy.
Research Interests: Cornea, Confocal Microscopy, Biological Sciences, Software, Humans, and 7 moreFemale, Male, Young Adult, Eye Movements, Aged, Middle Aged, and Adult
Comparing intelligent robots interacting with humans is a dif- ficult task. First of all, robotic helps in everyday life can be in- volved in different tasks. Additionally, the grade of autonomy of the robot and the type of interaction... more
Comparing intelligent robots interacting with humans is a dif- ficult task. First of all, robotic helps in everyday life can be in- volved in different tasks. Additionally, the grade of autonomy of the robot and the type of interaction between human and robot may differ to a great extent. It also is an intricate task to design common metrics to
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This article presents the approaches taken to integrate a novel anthropomorphic robot hand into a humanoid robot. The requisites enabling such a robot hand to use everyday objects in an environment built for humans are presented. Starting... more
This article presents the approaches taken to integrate a novel anthropomorphic robot hand into a humanoid robot. The requisites enabling such a robot hand to use everyday objects in an environment built for humans are presented. Starting from a design that resembles the human hand regarding size and movability of the mechatronical system, a low-level control system is shown providing
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The necessity of position and force control for robotic systems is widely accepted. The high level control of an artificial hand has to base on a funded knowledge of the systems behavior and a low level control. This article presents a... more
The necessity of position and force control for robotic systems is widely accepted. The high level control of an artificial hand has to base on a funded knowledge of the systems behavior and a low level control. This article presents a joint controller for an anthropomorphic robot hand driven by flexible fluidic actuators. These flexible and compact actuators are integrated
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Due to the complexity of many nonlinear control systems an off-line stability analysis might be extremely difficult. Hence this article presents an on-line fuzzy-based stability supervision system. This system is able to detect and... more
Due to the complexity of many nonlinear control systems an off-line stability analysis might be extremely difficult. Hence this article presents an on-line fuzzy-based stability supervision system. This system is able to detect and evaluate occurring safety and stability problems. Therefore the supervisor classifies on-line the stability by means of a fuzzy degree of stability between zero and one. The functionality of the supervision system is shown by simulated grasp studies with the elastic robot gripper of the Research Center Karlsruhe.
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The execution of a grasp process with an anthropomorphic multi-finger robot gripper has to base on an appropriate movement planning and an accurate low-level control strategy. Stability problems may arise, if there is a deviation, e.g.... more
The execution of a grasp process with an anthropomorphic multi-finger robot gripper has to base on an appropriate movement planning and an accurate low-level control strategy. Stability problems may arise, if there is a deviation, e.g. through position, orientation and/or size perturbation of the object, between planned and real executable movement patterns. One opportunity to react to such perturbations is
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Research Interests: Genetics, Reproductive toxicology, Animals, Drug Screening, Animal Model, and 15 moreCost effectiveness, Genome, Behavioral Animal Models, Spectrum, Public health systems and services research, Gene Function, Xenobiotics, Reproductive, Zebrafish, Toxicity Tests, Teratogens, Genome sequence, Embryos, Pilot project, and Toxicity Testing
In this paper, an automated process to extract experiment-specific parameters out of microscope images of zebrafish embryos is presented and applied to experiments consisting of toxicological treated zebrafish embryos. The treatments... more
In this paper, an automated process to extract experiment-specific parameters out of microscope images of zebrafish embryos is presented and applied to experiments consisting of toxicological treated zebrafish embryos. The treatments consist of a dilution series of several compounds. A custom built graphical user interface allows an easy labeling and browsing of the image data. Subsequently image-specific features are extracted for each image based on image processing algorithms. By means of feature selection, the ...
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Nonvisual photosensation enables animals to sense light without sight. However, the cellular and molecular mechanisms of nonvisual photobehaviors are poorly understood, especially in vertebrate animals. Here, we describe the photomotor... more
Nonvisual photosensation enables animals to sense light without sight. However, the cellular and molecular mechanisms of nonvisual photobehaviors are poorly understood, especially in vertebrate animals. Here, we describe the photomotor response (PMR), a robust and reproducible series of motor behaviors in zebrafish that is elicited by visual wavelengths of light but does not require the eyes, pineal gland, or other canonical deep-brain photoreceptive organs. Unlike the relatively slow effects of canonical nonvisual pathways, motor circuits are strongly and quickly (seconds) recruited during the PMR behavior. We find that the hindbrain is both necessary and sufficient to drive these behaviors. Using in vivo calcium imaging, we identify a discrete set of neurons within the hindbrain whose responses to light mirror the PMR behavior. Pharmacological inhibition of the visual cycle blocks PMR behaviors, suggesting that opsin-based photoreceptors control this behavior. These data represent the first known light-sensing circuit in the vertebrate hindbrain.
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Abstract In this paper a new prosthetic hand is presented that closely approximates the grasping abilities of a human hand. A large variety of different objects can be grasped reliably and the movements of the hand appear to natural. This... more
Abstract In this paper a new prosthetic hand is presented that closely approximates the grasping abilities of a human hand. A large variety of different objects can be grasped reliably and the movements of the hand appear to natural. This five-finger hand has 15 ...
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... For intelligent robots and machines in general, implementations especially for the coordination layer have been proposed. But there are only a few papers using Petri nets in humanoid robotics for coordination, hardware resource... more
... For intelligent robots and machines in general, implementations especially for the coordination layer have been proposed. But there are only a few papers using Petri nets in humanoid robotics for coordination, hardware resource handling, and planning [11, 12, 13]. ...
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Research Interests: Immunohistochemistry, Lung Cancer, Humans, Female, Embryonic Stem Cell, and 13 moreMale, Squamous Cell Carcinoma, Modern, Transcription Factor, Esophageal Cancer, Aged, Oral Squamous Cell Carcinoma (OSCC), Fluorescent in situ hybridization, Adult, Prognosis, Overall Survival, Adenocarcinoma, and Somatic Cells
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Characterization of the non-small cell lung cancer (NSCLC) genome has suggested that KRAS amplification is one of the commonest molecular abnormalities in NSCLC. However, the prevalence and clinicopathologic significance of KRAS... more
Characterization of the non-small cell lung cancer (NSCLC) genome has suggested that KRAS amplification is one of the commonest molecular abnormalities in NSCLC. However, the prevalence and clinicopathologic significance of KRAS amplification, and its relationship with KRAS activating mutations have not been well-defined. The purpose of this study was to establish the prevalence of KRAS amplification in two separate, large NSCLC cohorts, to define the clinicopathologic features of KRAS-amplified NSCLC in a single uniformly treated cohort, and to investigate the interplay between KRAS amplification and KRAS mutation. Fluorescence in situ hybridization was utilized to detect KRAS amplification on tissue microarrays constructed from a Swiss cohort of 538 NSCLCs and a series of 402 patients with NSCLC treated in a single institution in New York. DNA sequencing to detect KRAS codon 12 activating mutations was performed on a subset of tumors. Amplification and mutation status were compared with patient baseline characteristics, tumor characteristics, and overall- and disease-free survival. The prevalence of KRAS amplification was 13.7% in the Swiss cohort and 15.1% in the New York cohort. Among adenocarcinomas, KRAS amplification was associated with larger (mean size 2.8±1.8 cm vs. 2.1±1.3 cm, p=0.003), less well-differentiated tumors (18% vs. 42%, p=0.004) that were more likely to be invasive (95% vs. 77%, p=0.004) and to exhibit angiolymphatic invasion (24% vs. 12%, p=0.04). These differences were statistically significant within the subset of adenocarcinomas harboring activating KRAS mutations, suggesting a synergistic relationship between amplification and mutation. No significant association between KRAS amplification and nodal metastasis or survival was seen. KRAS amplification is a common molecular alteration in NSCLC, characterizing ∼15% of tumors. This alteration is associated with indicators of local aggressiveness, and may act synergistically with KRAS mutations to promote tumor progression.
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Research Interests: Mechanical Engineering, Genetics, Pattern Recognition, Cerebral Palsy, Adolescent, and 24 moreGait, Humans, Child, Genetic Testing, Gait Analysis, Female, Classification, Male, Cluster Analysis, Young Adult, Feature Extraction, Differential Diagnosis, Clinical Sciences, Middle Aged, Gait and Posture, Adult, Hereditary spastic paraplegia, Genetic Disorder, Lower limb, Typical Development, Lower Extremity, Knee Extension, Biomechanical Phenomena, and Surgical Treatment
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When assessing interactions between robots and persons ex- isting metrics do mainly take into account aspects that are easy to measure like performance metrics; the human ele- ment is left out although it plays a central role in human-... more
When assessing interactions between robots and persons ex- isting metrics do mainly take into account aspects that are easy to measure like performance metrics; the human ele- ment is left out although it plays a central role in human- robot interaction. Measuring and quantifying human behav- ior as well as subjective impressions is rather complicated, may take a lot of
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This paper presents a simulation system for an anthropomorphic robotic hand. The robotic hand is designed as a grasping system for a humanoid robot within a... more
This paper presents a simulation system for an anthropomorphic robotic hand. The robotic hand is designed as a grasping system for a humanoid robot within a 'natural' environment built for humans. The described simulation system is organized in independent components with well defined interfaces. The different components and their interaction is prese nted and the state of the current realisation
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ABSTRACT A key issue in developing walking machines is to ensure stability of the machine during gait. The complexity of this problem increases with a decreasing number of legs. Where hexapods can guarantee static stability for all the... more
ABSTRACT A key issue in developing walking machines is to ensure stability of the machine during gait. The complexity of this problem increases with a decreasing number of legs. Where hexapods can guarantee static stability for all the time, in quadrupeds this is limited to special gait patterns and in bipeds the dynamical stability is imminent, especially if the intention is to build humanoid robots. In this paper we introduce a new artificial spine driven by pneumatic actuators for a biped locomotion platform. It is described how the hardware is designed and how the components have been modeled mathematically to be able to test and develop different control strategies for body stabilization tasks.
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In contrast to classical engineering approaches for the generation of movements in robots or prostheses, approaches to this subject inspired by neurophysiological circuits are in advance. One of the key structures of interest in this area... more
In contrast to classical engineering approaches for the generation of movements in robots or prostheses, approaches to this subject inspired by neurophysiological circuits are in advance. One of the key structures of interest in this area is the Central Pattern Generator ( ...