Publications
119 results found
Moran AL, Ramirez-Fernandez C, Meza-Kubo V, et al., 2015, On the Effect of Previous Technological Experience on the Usability of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders, JOURNAL OF MEDICAL SYSTEMS, Vol: 39, ISSN: 0148-5598
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- Citations: 18
Rivas JJ, Orihuela-Espina F, Sucar LE, et al., 2015, Detecting affective states in virtual rehabilitation, 9th International Conference on Pervasive Computing Technologies for Healthcare, Publisher: IEEE, Pages: 287-292, ISSN: 2153-1633
Shetty K, Leff DR, Orihuela-Espina F, et al., 2015, Looks can be deceiving: is there value in cognitive assessment of complex surgical skills?, Annual Meeting of the Society-of-Academic-and-Research-Surgery (SARS(, Publisher: WILEY-BLACKWELL, Pages: 43-43, ISSN: 0007-1323
Rivas JJ, Heyer P, Orihuela-Espina F, et al., 2015, Towards incorporating affective computing to virtual rehabilitation: surrogating attributed attention from posture for boosting therapy adaptation, 10th International Symposium on Medical Information Processing and Analysis, Publisher: SPIE, ISSN: 0277-786X
Orihuela-Espina F, Fernandez del Castillo I, Palafox L, et al., 2015, Neural reorganization accompanying upper limb motor rehabilitation from stroke with virtual reality-based gesture therapy, Topics in Stroke Rehabilitation, Vol: 20, Pages: 197-209, ISSN: 1074-9357
Davis J, Sucar LE, Orihuela-Espina F, 2015, Treatment of disease: The role of knowledge representation for treatment selection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol: 9521 LNCS, Pages: 235-241, ISSN: 0302-9743
Sucar LE, Ávila-Sansores SM, Orihuela-Espina F, 2015, User modelling for patient tailored virtual rehabilitation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol: 9521 LNCS, Pages: 259-278, ISSN: 0302-9743
Intelligent rehabilitation is a novel paradigm in motor rehabilitation empowering assistive technology with artificial intelligence (AI). Central to this paradigm is adaptation, the capacity of the assistive technology to dynamically accommodate to the therapy evolving demands. This chapter overviews several existing AI solutions to implement a decision making model to provide rehabilitation tools with adaptation capabilities, and provides details of a powerful approach capable of exploiting prior knowledge for a quick start and posterior knowledge to guarantee up-to-dated informed decisions. In this solution, a Markov decision process formulates an initial policy optimal within prior knowledge; a policy which is later on allow to evolve on incoming evidence to fit new requirements. This solution ensures short training periods and exhibits convergence with therapists’ criteria. In consequence, intelligent adaptation to dynamic circumstances of the patient and therapy plan is demonstrated a feasible endeavour within a real practical timeline. This might endow assistive technology with the necessary competence to be taken home and/or reduce expert surpervision.
Lucas PJF, Orihuela-Espina F, 2015, Representing knowledge for clinical diagnostic reasoning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol: 9521 LNCS, Pages: 35-45, ISSN: 0302-9743
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- Citations: 2
Moran AL, Orihuela-Espina F, Meza-Kubo V, et al., 2015, Out of context serious games: Transversal reutilization of games across healthcare domains, COMPUTER SYSTEMS SCIENCE AND ENGINEERING, Vol: 30, Pages: 43-55, ISSN: 0267-6192
Heyer P, Rivas JJ, Enrique Sucar L, et al., 2015, Improving classification of posture based attributed attention assessed by ranked crowd-raters, 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), Publisher: IEEE, Pages: 277-279, ISSN: 2153-1633
Garcia-Martinez S, Orihuela-Espina F, Enrique Sucar L, et al., 2015, A Design Framework for Arcade-Type Games for the Upper-Limb Rehabilitation, International Conference on Virtual Rehabilitation Proceedings (ICVR), Publisher: IEEE, Pages: 235-242
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- Citations: 2
Borrego G, Moran AL, LaFlor A, et al., 2015, Pilot Evaluation of a Collaborative Game for Motor Tele-Rehabilitation and Cognitive Stimulation of the Elderly, 7th International Work-Conference on Ambient Assisted Living (IWAAL), Publisher: SPRINGER INT PUBLISHING AG, Pages: 42-48, ISSN: 0302-9743
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- Citations: 1
Ramirez-Fernandez C, Garcia-Canseco E, Moran AL, et al., 2015, Design Principles for Hapto-Virtual Rehabilitation Environments: Effects on Effectiveness of Fine Motor Hand Therapy, 2nd International Workshop on ICTs for Improving Patients Rehabilitation Research Techniques (REHAB), Publisher: SPRINGER-VERLAG BERLIN, Pages: 270-284, ISSN: 1865-0929
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- Citations: 1
Paggetti G, Leff DR, Orihuela-Espina F, et al., 2014, The role of the posterior parietal cortex in stereopsis and hand-eye coordination during motor task behaviours, Cognitive Processing, Vol: 16, Pages: 177-190, ISSN: 1612-4790
Ramírez-Fernández C, Morán AL, García-Canseco E, et al., 2014, Design factors of virtual environments for upper limb motor rehabilitation of stroke patients, Pages: 22-25
Stroke survivors are often left with motor disabilities. Virtual environments for motor therapy are an emerging stra-Tegy to motivate, entertain or engage the rehabilitation patient to the therapy after stroke. The design of these specialized virtual environments requires to meet the needs of patients and therapists, which is not a simple task. To support the design of these applications a number of re- commendations for the developers have been proposed in literature. Here, a taxonomy is proposed to classify the identified principles, criteria, implications, usability factors or guidelines on which the recommendations are based. The taxonomy identifies key factors in the design of virtual en- vironments for upper limb motor therapy. The taxonomy is organized into three categories corresponding to different stages of the therapy: configuration of the exercise, assis-Tance during the execution of the exercise and management of therapy results. We believe that agglutinating and or- ganizing design factors into a taxonomy may reduce development times, facilitate communication between developers and clinical counterparts and increase chances of therapeutic validity.
Morán AL, Meza V, Ramírez-fernández C, et al., 2014, Revisiting the user experience of a virtual rehabilitation tool for the physical activation and cognitive stimulation of elders, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol: 8868, Pages: 203-210, ISSN: 0302-9743
We report the results of an indirect observation usability and user experience (UX) study on the use of the Gesture Therapy (GT) rehabilitation platform, as a physical activation and cognitive stimulation tool for the elderly. The results from this study complement those of a former self-report study [8]. Elders perceived the system with high usefulness, usability, and UX, as well as generating low anxiety in both studies. Also, the results allowed us to analyze and evaluate the impact of elders’ previous experience on computer use on specific aspects. Interestingly, the significance of the effect of previous computer use experience on perceived anxiety and perceived enjoyment aspects of UX was different in both studies, although there is an important overlap for ease of use factors. These results, although not conclusive yet on the causes for the difference, provides us with further evidence to establish that elders’ previous experience (or not) on computer use affects their user experience on the use of the GT platform.
Sanchez-Perez KJ, Herrera-Vega J, Sucar-Succar E, et al., 2014, Developing a Device for Monitoring O<sub>2</sub> Saturation in Blood, 13th Mexican Symposium on Medical Physics, Publisher: AMER INST PHYSICS, Pages: 201-204, ISSN: 0094-243X
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- Citations: 1
Heyer P, Herrera-Vega J, Vila Rosado D-EN, et al., 2014, Posture Based Detection of Attention in Human Computer Interaction, 6th Pacific-Rim Symposium on Image and Video Technology (PSIVT), Publisher: SPRINGER-VERLAG BERLIN, Pages: 220-229, ISSN: 0302-9743
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- Citations: 2
Enrique Sucar L, Orihuela-Espina F, Luis Velazquez R, et al., 2013, Gesture therapy: an upper limb virtual reality-based motor rehabilitation platform, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol: 22, Pages: 634-643, ISSN: 1558-0210
Morán AL, Orihuela-Espina F, Meza-Kubo V, et al., 2013, Borrowing a virtual rehabilitation tool for the physical activation and cognitive stimulation of elders, Pages: 95-102, ISSN: 0302-9743
We explore the use of a virtual rehabilitation platform as the interaction means for physical activation and cognitive stimulation of elders. A usability evaluation of actual and projected use of the tool suggests that this could be feasible to perform. Elders perceived the use of the evaluated tool as useful (93.75/100), easy to use (93.75/100) and pleasurable to use (91.66/100) during an actual activation and stimulation session. Previous experience on the use of computers by the participants did not significantly impact on their usability perception for most of the included factors, with the sole exception being the perception of anxiety. This is an encouraging result to reuse and adapt technologies from "close" domains (e.g., virtual rehabilitation). In addition, this can reduce development times and cost, and facilitate knowledge transfer into the domain of physical activation and cognitive stimulation of elders. © 2013 Springer International Publishing.
Orihuela-Espina F, Alvarez-Cardenas P, Palafox L, et al., 2013, New developments in the gesture therapy platform past, present and future of our research, Neurotechnix 2013, Publisher: SCITEPRESS, Pages: 106-113
Gesture Therapy (GT) is a virtual rehabilitation tool for the upper arm that has been in the making since 2008, and by now has successfully demonstrated therapeutic validity in two small clinical trials for stroke survivors. During this time, our group has published a number of contributions regarding different aspects of this platform ranging from hardware controllers to artificial intelligence algorithms guiding different aspects of the serious games behaviour, and clinical trial data from observable improvements in dexterity to changes in functional neuroreorganization. As we continue our research efforts in virtual rehabilitation and realising this knowledge in the GT platform, this paper presents an overview of the latest developments as well as a roadmap for future research.
Hernandez-Leal P, Rios-Flores A, Ávila-Rios S, et al., 2013, Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks, Artificial Intelligence in Medicine, Vol: 57, Pages: 185-195, ISSN: 0933-3657
Objective: The human immunodeficiency virus (HIV)is one ofthe fastest evolving organisms in the planet.Its remarkable variation capability makes HIV able to escape from multiple evolutionary forces naturallyor artificially acting on it, through the development and selection of adaptive mutations. Although mostdrug resistance mutations have been well identified, the dynamics and temporal patterns of appearanceof these mutations can still be further explored. The use of models to predict mutational pathways as wellas temporal patterns of appearance of adaptive mutations could greatly benefit clinical management ofindividuals under antiretroviral therapy.Methods and material: We apply a temporal nodes Bayesian network (TNBN) modelto data extracted fromthe Stanford HIVdrug resistance database in order to explore the probabilistic relationships between drugresistance mutations and antiretroviral drugs unveiling possible mutational pathways and establishingtheir probabilistic-temporal sequence of appearance.Results: In a first experiment, we compared the TNBN approach with other models such as static Bayesiannetworks, dynamic Bayesian networks and association rules. TNBN achieved a 64.2% sparser structureover the static network. In a second experiment, the TNBN model was applied to a dataset associatingantiretroviral drugs with mutations developed under different antiretroviral regimes. The learned modelscaptured previously described mutational pathways and associations between antiretroviral drugs anddrug resistance mutations. Predictive accuracy reached 90.5%.Conclusion: Our results suggest possible applications of TNBN for studying drug-mutation andmutation–mutation networks in the context of antiretroviral therapy, with direct impact on the clinicalmanagement of patients under antiretroviral therapy. This opens new horizons for predicting HIV mutationalpathways in immune selection with relevance for antiretroviral drug development and therapyplan.
Clark J, Orihuela-Espina F, Sodergren M, et al., 2013, A quantitative scale to define endoscopic torque control during natural orifice surgery, MINIMALLY INVASIVE THERAPY & ALLIED TECHNOLOGIES, Vol: 22, Pages: 17-25, ISSN: 1364-5706
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- Citations: 1
Ávila-Sansores S, Orihuela-Espina F, Enrique-Sucar L, 2013, Patient tailored virtual rehabilitation, Biosystems and Biorobotics, Pages: 879-883
Virtual rehabilitation should be adaptable to the patient need and progress. To do so, patient in-game performace and ability are monitored to maintain an adequate level of challenge. A novel adaptation strategy is proposed by which patient control and speed are dynamically interrogated to adjust the game difficulty. The strategy is based on a Markov decision process seeding a therapist-guided reinforcement learning algorithm. The optimal learning scheme for the algorithm is established (α = 0.5). Convergence to an optimal therapeutic plan is demonstrated for patients with non-deterministic behaviour. The proposed adaptation algorithm can enhance existing virtual reality-based motor rehabilitation platforms by tailoring the games response to the patient changing needs.
Hernandez-Leal P, Orihuela-Espina F, Sucar LE, et al., 2012, Hybrid binary-chain multi-label classifiers, Pages: 139-146
In multi-label classification the goal is to assign an instance to a set of different classes. Several approaches have been proposed to deal with multi-label classification problems, ranging from considering each class independently from the other (binary relevance methods) to considering all the possible combinations of values of the original classes into a single compound class (power-set approach). In between, other methods have been proposed to consider dependencies among classes whilst trying to keep computational complexity of the method low. In this paper, instead of finding probabilistic dependencies among classes, we focused on finding independencies among classes using a simple correlation approach. We first build a correlation matrix among classes and use it to build chain classifiers among correlated sub-sets of classes while learning independent classifiers for uncorrelated classes. It is experimentally shown that this simple hybrid approach exhibits very competitive predictive performance among state-of-the-art multi-label classifiers with lower time complexity.
Kwok K-W, Sun L-W, Mylonas GP, et al., 2012, Collaborative Gaze Channelling for Improved Cooperation During Robotic Assisted Surgery, ANNALS OF BIOMEDICAL ENGINEERING, Vol: 40, Pages: 2156-2167, ISSN: 0090-6964
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- Citations: 13
James DR, Leff DR, Orihuela-Espina F, et al., 2012, Enhanced frontoparietal network architectures following "gaze-contingent" versus "free-hand" motor learning., Neuroimage
Mylonas GP, Kwok K-W, James DRC, et al., 2012, Gaze-Contingent Motor Channelling, haptic constraints and associated cognitive demand for robotic MIS, MEDICAL IMAGE ANALYSIS, Vol: 16, Pages: 612-631, ISSN: 1361-8415
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- Citations: 28
Yongue G, Leff DR, James DRC, et al., 2012, Expertise related disparity in prefrontal cortical excitation associated with intra-operative decision making, Annual Meeting of the Society-of-Academic-and-Research-Surgery, Publisher: WILEY-BLACKWELL, Pages: 39-39, ISSN: 0007-1323
Karimyan V, Orihuela-Espina F, Leff DR, et al., 2012, Spatial awareness in Natural Orifice Transluminal Endoscopic Surgery (NOTES) navigation, INTERNATIONAL JOURNAL OF SURGERY, Vol: 10, Pages: 80-86, ISSN: 1743-9191
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- Citations: 2
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