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University of Hertfordshire, United Kingdom

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7 Papers

An Investigation of How Wavelet Transform Can Affect the Correlation Performance of Biomedical Signals

Topics: Medical Signal Acquisition, Analysis and Processing; Time and Frequency Response; Wavelet Transform; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics; Cardiovascular Signals

Authors: Ronakben Bhavsar , Neil Davey , Yi Sun and Na Helian

Affiliation: University of Hertfordshire, United Kingdom

Digital Object Identifier: 10.5220/0006551001390146

Proceedings of BIOSIGNALS 2018/BIOSTEC, ISBN: 978-989-758-279-0

Quick Abstract

Recently, the correlation between biomedical signals, such as electroencephalograms (EEG) and electrocardiograms (ECG) time series signals, has been analysed using the Pearson Correlation method. Although Wavelet Transformations (WT) have been performed on time series data including EEG and ECG signals, so far the correlation between WT signals has not been analysed. This research shows the correlation between the EEG and HRV, with and without WT signals. Our results suggest electrical activity in the frontal lobe of the brain is best correlated with the HRV. We assume this is because the frontal lobe is related to higher mental functions of the cerebral cortex and responsible for muscle movements of the body. Our results indicate a positive correlation between Delta, Alpha and Beta frequencies of EEG at both low frequency (LF) and high frequency (HF) of HRV. This finding is independent of both participants and brain hemisphere.

Error Correction over Optical Transmission

Topics: Classification; Feature Selection and Extraction; Signal Processing

Authors: Weam M. Binjumah ¹ , Alexey Redyuk ² , Rod Adams ³ , Neil Davey ³ and Yi Sun ³

Affiliations: ¹ University of Hertfordshire and Taibah University, United Kingdom , ² Institute of Computational Technologies SB RAS, Russian Federation , ³ University of Hertfordshire, United Kingdom

Digital Object Identifier: 10.5220/0006211402390248

Proceedings of ICPRAM 2017, ISBN: 978-989-758-222-6

Quick Abstract

Reducing bit error rate and improving performance of modern coherent optical communication system is a significant issue. As the distance travelled by the information signal increases, bit error rate will degrade. Support Vector Machines are the most up to date machine learning method for error correction in optical transmission systems. Wavelet transform has been a popular method to signals processing. In this study, the properties of most used Haar and Daubechies wavelets are implemented for signals correction. Our results show that the bit error rate can be improved by using classification based on wavelet transforms (WT) and support vector machine (SVM).

Related Ontology Subjects/Areas/Topics (10)

Applications	Feature Selection and Extraction	Signal Processing
Cardiovascular Imaging and Cardiography	Health Engineering and Technology Applications	Software Engineering
Cardiovascular Technologies	Pattern Recognition	Theory and Methods
Classification

The Art of Balance - Problem-Solving vs. Pattern-Recognition

Topics: Multi-Agent Systems; Machine Learning; Knowledge Representation and Reasoning; Cognitive Systems; Reactive AI; Pattern Recognition; Simulation; Hybrid Intelligent Systems

Authors: Martyn Lloyd-Kelly ¹ , Fernand Gobet ¹ and Peter C. R. Lane ²

Affiliations: ¹ University of Liverpool, United Kingdom , ² University of Hertfordshire, United Kingdom

Digital Object Identifier: 10.5220/0005215901310142

Proceedings of ICAART 2015, ISBN: 978-989-758-074-1

Quick Abstract

The dual-process theory of human cognition proposes the existence of two systems for decision-making: a slower, deliberative, ``problem-solving'' system and a quicker, reactive, ``pattern-recognition'' system. The aim of this work is to explore the effect on agent performance of altering the balance of these systems in an environment of varying complexity. This is an important question, both in the realm of explanations of expert behaviour and to AI in general. To achieve this, we implement three distinct types of agent, embodying different balances of their problem-solving and pattern-recognition systems, using a novel, hybrid, human-like cognitive architecture. These agents are then situated in the virtual, stochastic, multi-agent ``Tileworld'' domain, whose intrinsic and extrinsic environmental complexity can be precisely controlled and widely varied. This domain provides an adequate test-bed to analyse the research question posed. A number of computational simulations are run. Our results indicate that there is a definite performance benefit for agents which use a mixture of problem-solving and pattern-recognition systems, especially in highly complex environments.

Related Ontology Subjects/Areas/Topics (35)

Agents	Health Engineering and Technology Applications	Neurocomputing
Artificial Intelligence	Human-Computer Interaction	Neurotechnology, Electronics and Informatics
Artificial Intelligence and Decision Support Systems	Hybrid Intelligent Systems	Operational Research
Bioinformatics	Information Systems Analysis and Specification	Pattern Recognition
Biomedical Engineering	Knowledge Discovery and Information Retrieval	Physiological Computing Systems
Biomedical Signal Processing	Knowledge Engineering and Ontology Development	Reactive AI
Cognitive Systems	Knowledge Representation and Reasoning	Sensor Networks
Computational Intelligence	Knowledge-Based Systems	Simulation
Data Manipulation	Machine Learning	Soft Computing
Distributed and Mobile Software Systems	Methodologies and Methods	Software Engineering
Enterprise Information Systems	Methodologies and Technologies	Symbolic Systems
Evolutionary Computing	Multi-Agent Systems

SCRIPT: Tele-robotics at HomeFunctional Architecture and Clinical Application

Authors: H. J. Hermens ¹ , G. B. Prange ¹ , J. Schäfer ² , F. Amirabdollahian ³ , N. Nasr ⁴ , G. Mountain ⁴ and A. H. A. Stienen ⁵

Affiliations: ¹ Roessingh Research and Development, Netherlands , ² User Interface Design, Germany , ³ The University of Hertfordshire, United Kingdom , ⁴ University of Sheffield, United Kingdom , ⁵ University of Twente, Netherlands

Digital Object Identifier: 10.5220/0004474100580063

Proceedings of EHST 2012, ISBN: 978-989-8565-27-3

Quick Abstract

After the event of a stroke, patients have at least 12 months during which their brains are highly susceptible to the benefits of neuro-rehabilitation treatments. On the other hand, due to the high costs of clinical neuro-rehabilitation, post-stroke treatments are limited in all countries to only a few weeks after the stroke event. Hence, any system aimed at prolonging neuro-rehabilitation at patients’ homes, and with low-cost treatments, addresses a major issue in the current health management systems. Recent developments have revealed a great potential for robotic devices delivering repetitive training to improve arm function after stroke, thus facilitating a high intensity and a large number of repetitive training. The SCRIPT project aims to develop robotic technologies for the home as it would enable self-administration of more intense and more frequent exercises, by enabling hand and wrist exercise that have great potential for contribution to personal independence. Remote management and support of the patient is incorporated through a communication platform that supports the remote adjustment of the therapy program. In this way, the patient can exercise at home, while the exercise is remotely supervised without increasing therapist time, while reducing the frequency of hospital or clinics visits.

A FRAMEWORK TO SUPPORT STUDENTS IN THEIR INDIVIDUAL STUDIES

Topics: Web-Based Learning, Wikis and Blogs; Authoring Tools and Content Development; Pedagogy Enhancement with E-Learning; Theoretical Bases of E-Learning Environments; Distance and E-Learning in a Global Context; Course Design and E-Learning Curriculae

Authors: Andrew Pyper , Mariana Lilley and Jill Hewitt

Affiliation: University of Hertfordshire, United Kingdom

Digital Object Identifier: 10.5220/0001980702960301

Proceedings of CSEDU 2009, ISBN: 978-989-8111-82-1

Quick Abstract

Technology can be very effectively used to support students in their individual studies. However, this is a somewhat neglected area. The emphasis is on using technology to support dialogic constructivist learning environments. This is well justified, but can be problematic. Issues such as student diversity and engagement, the availability of tutor support within such environments and the demand for flexibility can profoundly affect the pedagogical effectiveness of students’ learning experiences using these environments. This paper argues that the emphasis on dialectical constructivist learning environments would benefit from greater recognition of the importance of students’ individual work. It also details a framework that supports tutors in designing learning experiences that encompass individual work as well as dialogic and collaborative work. The framework is based on three main constructs; Tasks, Narratives and Resources. It sets out a range of task types and also provides a model of resource production. In the narratives, it also provides tutors with a way of explaining their learning designs and engaging the students in them.

Related Ontology Subjects/Areas/Topics (11)

Authoring Tools and Content Development	e-Learning	Social Context and Learning Environments
Computer-Supported Education	Information Technologies Supporting Learning	Theoretical Bases of e-Learning Environments
Course Design and e-Learning Curriculae	Learning/Teaching Methodologies and Assessment	Web-Based Learning, Wikis and Blogs
Distance and e-Learning in a Global Context	Pedagogy Enhancement with e-Learning

Adaptive Electrical Signal Post-Processing in Optical Communication Systems

Authors: Yi Sun ¹ , Alex Shafarenko ¹ , Rod Adams ¹ , Neil Davey ¹ , Brendan Slater ² , Ranjeet Bhamber ² , Sonia Boscolo ² and Sergei K. Turitsyn ²

Affiliations: ¹ University of Hertfordshire, United Kingdom , ² Photonics Research Group, School of Engineering and Applied Science, Aston University, United Kingdom

Digital Object Identifier: 10.5220/0001507800710079

Proceedings of ANNIIP 2008/ICINCO, ISBN: 978-989-8111-33-3

Quick Abstract

Improving bit error rates in optical communication systems is a difficult and important problem. The error correction must take place at high speed and be extremely accurate. We show the feasibility of using hardware implementable machine learning techniques. This may enable some error correction at the speed required.

Receptor Response and Soma Leakiness in a Simulated Spiking Neural Controller for a Robot

Authors: David Bowes , Rod Adams , Lola Cañamero , Volker Steuber and Neil Davey

Affiliation: Science and Technology Research Institute, University of Hertfordshire, United Kingdom

Digital Object Identifier: 10.5220/0001509001000106

Proceedings of ANNIIP 2008/ICINCO, ISBN: 978-989-8111-33-3

Quick Abstract

This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus levels. The results show that exponential decay of ions across the soma and of a receptor response function where intensity is proportional to intensity is the best combination for dark seeking behavior.