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A Seizure Based Power Reduction SoC For Wearable EEG In Epilepsy

Saam Iranmanesh, George Raikos, Syed Anas Imtiaz, Esther Rodriguez-Villegas
2019 IEEE Access  
The system has been fabricated in a 0.18 µm CMOS process, consumes 1.14 µW from a 1.25 V supply and achieves a sensitivity of 98.5% while only selecting 52.5% of the EEG data for transmission.  ...  In order to reduce the power consumed by the on-chip implementation of the algorithm, mathematical approximations have been carried out to allow for an analog implementation, resulting in the power consumed  ...  This paper presents a scalable EEG data selection SoC targeting a different aspect of epilepsy, which is the diagnosis stage, for which the previously mentioned approaches are unsuitable.  ... 
doi:10.1109/access.2019.2948231 fatcat:uaqxnucfsvha7f7rn5mavgyce4

Microarchitecture of a MultiCore SoC for Data Analysis of a Lab-on-Chip Microarray

G. Kornaros, S. Blionas
2008 EURASIP Journal on Advances in Signal Processing  
for microarray real-time data processing and for a scalable reconfigurable architecture to handle also the future highdensity microarrays.  ...  a reconfigurable processing part for the data analysis.  ...  Jiannis Ragoussis from the Genomics Lab of the Wellcome Trust Centre for Human Genetics of the Oxford University for their data to evaluate the performance of the proposed architecture.  ... 
doi:10.1155/2008/520641 fatcat:aou4oavdkbgajp56mwrlzl6ceu

SOC(HE)-Italy: A Classification for Graduate Occupations

Luca Cattani, Kate Purcell, Peter Elias
2014 Social Science Research Network  
This paper presents an application to the Italian labour force of the British SOC(HE)2010 classification for graduate occupations, thereby creating a statistical tool for exploration of the Italian graduate  ...  In order to achieve this goal, the classification is replicated, using methodology that differs slightly to take account of differences in existing Italian data, to construct SOC(HE)-Italy.  ...  SOC(HE): a classification of occupations for studying the graduate labour market.  ... 
doi:10.2139/ssrn.2495283 fatcat:xn3j4v4iubf6jo5quzyc2e2orm

Lung Cancer Assistant: a hybrid clinical decision support application for lung cancer care

M. B. Sesen, M. D. Peake, R. Banares-Alcantara, D. Tse, T. Kadir, R. Stanley, F. Gleeson, M. Brady
2014 Journal of the Royal Society Interface  
We describe Lung Cancer Assistant (LCA), a clinical decision support (CDS) prototype designed to assist the experts in the treatment selection decisions in the lung cancer MDTs.  ...  A novel feature of LCA is its ability to provide rule-based and probabilistic decision support within a single platform.  ...  System architecture The architecture of the LCA was informed by our design goals to develop a CDS prototype that can provide instantaneous evidence-based and probabilistic decision support at the point  ... 
doi:10.1098/rsif.2014.0534 pmid:24990290 pmcid:PMC4233704 fatcat:vwql4aghwvfxfpopcuin6rncfq

IoMT-Enabled Real-time Blood Glucose Prediction with Deep Learning and Edge Computing

Taiyu Zhu, Lei Kuang, John Daniels, Pau Herrero, Kezhi Li, Pantelis Georgiou
2022 IEEE Internet of Things Journal  
This work was supported by EPSRC EP/P00993X/1 and President's Ph.D. Scholarship at Imperial College London. T. Zhu and L. Kuang have equal contribution.  ...  Robert Spence for his contribution in designing the smartphone GUI.  ...  Chukwuma Uduku, and Narvada Jugnee for their contribution in obtaining the ABC4D and ARISES datasets. We would also like to thank Prof.  ... 
doi:10.1109/jiot.2022.3143375 fatcat:tdwl6tdjrzbubk3f3ixgtmcahm

Time Series Forecasting With Deep Learning: A Survey [article]

Bryan Lim, Stefan Zohren
2020 arXiv   pre-print
Lastly, we outline some ways in which deep learning can also facilitate decision support with time series data.  ...  Numerous deep learning architectures have been developed to accommodate the diversity of time series datasets across different domains.  ...  For instance, doctors can make use of clinical forecasts (e.g. probabilities of disease onset and mortality) to help them prioritise tests to order, formulate a diagnosis and determine a course of treatment  ... 
arXiv:2004.13408v2 fatcat:escho2w6kvcmpin7umnwzpdahu

Diagnostic Assessment of Osteosarcoma Chemoresistance Based on Virtual Clinical Trials [article]

Katarzyna A Rejniak, Mark C Lloyd, Damon R Reed, Marilyn M Bui
2015 bioRxiv   pre-print
This procedure, that we named 'Virtual Clinical Trials', can serve as a potential predictive biomarker providing a novel value added decision support tool for oncologists.  ...  Patients with unfavorable predictions could be studied in a protocol, rather than a standard setting, towards improving therapeutic success.  ...  We based our Virtual Clinical Trial concept on the SOC clinical data and clinical practice where therapeutic decisions are based upon examining patients' biopsy data.  ... 
doi:10.1101/022467 fatcat:ictjo4dd25edxkjogsoh6fbaue

Diagnostic assessment of osteosarcoma chemoresistance based on Virtual Clinical Trials

K.A. Rejniak, M.C. Lloyd, D.R. Reed, M.M. Bui
2015 Medical Hypotheses  
This procedure, that we named 'Virtual Clinical Trials', can serve as a potential predictive biomarker providing a novel value added decision support tool for oncologists.  ...  Patients with unfavorable predictions could be studied in a protocol, rather than a standard setting, towards improving therapeutic success.  ...  Such computer simulations of temporal and spatial changes in tumor composition after exposure to various therapeutic options can provide a clinician with a decision support tool, the Virtual Clinical Trials  ... 
doi:10.1016/j.mehy.2015.06.015 pmid:26130106 pmcid:PMC4549200 fatcat:2mg6qhy2ofa3dha7735bg7zh5e

Recommendations for Responsible Monitoring and Regulation of Clinical Software Systems

R. A. Miller, R. M. Gardner
1997 JAMIA Journal of the American Medical Informatics Association  
A b s t r a c t In mid-1996 , the FDA called for discussions on regulation of clinical software programs as medical devices.  ...  In response, a consortium of organizations dedicated to improving health care through information technology has developed recommendations for the responsible regulation and monitoring of clinical software  ...  and dietary systems); decision support for diagnosis, therapy, or progno-sis 14 -26 ; guidelines and reminders 27 -38 ; protocol management 39 -40 ; telecommunication and tele-health 41 ; signal  ... 
doi:10.1136/jamia.1997.0040442 pmid:9391932 pmcid:PMC61262 fatcat:7f3esuvklfg7fbry3nq2hnxxjm

Artificial intelligence, bias and clinical safety

Robert Challen, Joshua Denny, Martin Pitt, Luke Gompels, Tom Edwards, Krasimira Tsaneva-Atanasova
2019 BMJ Quality and Safety  
focus on diagnostic decision support.  ...  of impending sepsis from a set of clinical observations and test results. 20 21 Outside of diagnostic support ML systems are being developed to provide other kinds of decision support, such as providing  ...  and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made.  ... 
doi:10.1136/bmjqs-2018-008370 pmid:30636200 pmcid:PMC6560460 fatcat:zuxgqrnyhfe6pkzqiwzhv2ppae

An Outlook on Design Technologies for Future Integrated Systems

G. De Micheli
2009 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  
This paper surveys design requirements and solutions for heterogeneous systems and addresses design technologies for realizing them.  ...  paving the way to a new class of heterogeneous integrated systems, with increased performance and connectedness and providing us with gateways to the living world.  ...  Architectural support for predictable timing and fast design closure is applicable to both computational and communication structures in SoCs.  ... 
doi:10.1109/tcad.2009.2021008 fatcat:2qujxzmnjbfebd4fg3bnrzsjua

Automatic detection of tumor vessels in indeterminate biliary strictures in digital single-operator cholangioscopy

Pedro Pereira, Miguel Mascarenhas, Tiago Ribeiro, João Afonso, João P. S. Ferreira, Filipe Vilas-Boas, Marco P.L. Parente, Renato N. Jorge, Guilherme Macedo
2022 Endoscopy International Open  
Background and study aims Indeterminate biliary strictures pose a significative clinical challenge.  ...  We aimed to develop an AI algorithm for automatic detection of tumor vessels (TVs) in D-SOC images. Patients and methods A convolutional neural network (CNN) was developed.  ...  Acknowledgments The authors acknowledge Fundação para a Ciência e Tecnologia (FCT) for supporting the computational costs related to this study through CPCA/A0 /7363 /2020 grant.  ... 
doi:10.1055/a-1723-3369 pmid:35295246 pmcid:PMC8920599 fatcat:chsr5yire5e75dkmpafwg5jwcy

On the Treatment and Diagnosis of Attention Deficit Hyperactivity Disorder with EEG Assistance

David Freismuth, Nima TaheriNejad
2022 Electronics  
Attention deficit hyperactivity disorder (ADHD) is a mental disorder most notable in children.  ...  Therefore, behavioral therapy is the preferred approach in ADHD treatment for children. In order to monitor and optimize the success of such behavioral therapies, neuro-feedback methods can be used.  ...  This layer provides a heat map that allows the interpretation of the neural network's decision. By giving that possibility, the method qualifies itself for clinical usage.  ... 
doi:10.3390/electronics11040606 fatcat:uyraetbdm5hhjlvoksqgoxpvla

Decision Support Systems in Medicine - Anesthesia, Critical Care and Intensive Care Medicine [chapter]

Thomas M., Fabrizio Cirillo, Shantale Cyr
2012 Decision Support Systems  
Development and validation of a clinical decision rule for the diagnosis of influenza. J Am Board Fam Med, , -. [ ] Legros, "., et al. .  ...  H. . " computer-assisted system for learning clinical diagnosis. Lancet, -. [ ] Peleg, M., & Tu, S. . Decision support, knowledge representation and management in medicine.  ... 
doi:10.5772/51756 fatcat:azhuyi6arjapplcmomvq65i33u

Automated Point-of-Care Clinical Diagnostic Device based on Embedded-Vision

Blessy Navara, Sivarama Rao Bodda
2016 International Journal of Engineering Research and  
Customized embedded vision algorithm is used to interpret the RDTs which are used in point-of-care clinical diagnosis for infectious diseases such as malaria.  ...  tests going on in a different geographical position.  ...  INTRODUCTION Point-of-care clinical diagnostics are providing a better and efficient clinical diagnosis for some of the most prevalent infectious diseases.  ... 
doi:10.17577/ijertv5is080470 fatcat:psisj7jyjndgvg2t2fmb2rc3qi
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