Effects of Gamification in BCI Functional Rehabilitation
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Eloy Opisso | Dani Tost | Christoph Guger | Rupert Ortner | Martí de Castro-Cros | Marc Sebastian-Romagosa | Javier Rodríguez-Serrano | Manel Ochoa | R. Ortner | C. Guger | E. Opisso | Marc Sebastián-Romagosa | D. Tost | Martí de Castro-Cros | Javier Rodríguez-Serrano | Manel Ochoa
[1] Sergi Bermúdez i Badia,et al. The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke , 2012, Stroke research and treatment.
[2] Sergi Bermúdez i Badia,et al. NeuRow: An Immersive VR Environment for Motor-Imagery Training with the Use of Brain-Computer Interfaces and Vibrotactile Feedback , 2016, PhyCS.
[3] Anatole Lécuyer,et al. Designing Guiding Systems for Brain-Computer Interfaces , 2017, Front. Hum. Neurosci..
[4] J. Wolpaw,et al. Mu and Beta Rhythm Topographies During Motor Imagery and Actual Movements , 2004, Brain Topography.
[5] FoxJesse,et al. Assessing the effects of gamification in the classroom , 2015 .
[6] Mariano Alcañiz Raya,et al. Tracking Systems for Virtual Rehabilitation: Objective Performance vs. Subjective Experience. A Practical Scenario , 2015, Sensors.
[7] J. Millán,et al. Brain‐computer interfaces for post‐stroke motor rehabilitation: a meta‐analysis , 2018, Annals of clinical and translational neurology.
[8] Naomi Vaisrub,et al. Biostatistics: The Bare Essentials , 2009 .
[9] Darryl Charles,et al. Optimising engagement for stroke rehabilitation using serious games , 2009, The Visual Computer.
[10] M. Alcañiz,et al. Embodiment and Presence in Virtual Reality After Stroke. A Comparative Study With Healthy Subjects , 2019, Front. Neurol..
[11] Abderrahmane Kheddar,et al. An integrated framework for humanoid embodiment with a BCI , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[12] Ricardo Chavarriaga,et al. Heading for new shores! Overcoming pitfalls in BCI design. , 2017, Brain computer interfaces.
[13] M. Molinari,et al. Brain–computer interface boosts motor imagery practice during stroke recovery , 2015, Annals of neurology.
[14] Shuichi Nishio,et al. The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning , 2016, PloS one.
[15] Cuntai Guan,et al. A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke , 2015, Clinical EEG and neuroscience.
[16] Eric S Donkor,et al. Stroke in the 21st Century: A Snapshot of the Burden, Epidemiology, and Quality of Life , 2018, Stroke research and treatment.
[17] Noor Azah Abd Aziz,et al. Stroke survivors' and informal caregivers' experiences of primary care and community healthcare services – A systematic review and meta-ethnography , 2018, PloS one.
[18] T. Ward,et al. Brain computer interfaces for neurorehabilitation – its current status as a rehabilitation strategy post-stroke. , 2015, Annals of physical and rehabilitation medicine.
[19] Vineeta Singh,et al. Analysis of repeated measurement data in the clinical trials , 2013, Journal of Ayurveda and integrative medicine.
[20] J. P. Verma. Repeated measures design for empirical researchers , 2015 .
[21] Jesse Fox,et al. Assessing the effects of gamification in the classroom: A longitudinal study on intrinsic motivation, social comparison, satisfaction, effort, and academic performance , 2015, Comput. Educ..
[22] J. Deutsch,et al. Virtual Reality for Sensorimotor Rehabilitation Post Stroke: Design Principles and Evidence , 2016 .
[23] Francisco J. Badesa,et al. A Comparative Analysis of 2D and 3D Tasks for Virtual Reality Therapies Based on Robotic-Assisted Neurorehabilitation for Post-stroke Patients , 2016, Front. Aging Neurosci..
[24] F. Liarokapis,et al. Progressive Training for Motor Imagery Brain-Computer Interfaces Using Gamification and Virtual Reality Embodiment , 2019, Front. Hum. Neurosci..
[25] F. Hummel,et al. The influence of functional electrical stimulation on hand motor recovery in stroke patients: a review , 2014, Experimental & Translational Stroke Medicine.
[26] Sook-Lei Liew,et al. Effects of a Brain-Computer Interface With Virtual Reality (VR) Neurofeedback: A Pilot Study in Chronic Stroke Patients , 2019, Front. Hum. Neurosci..
[27] Nandana Welage,et al. The Activation of the Mirror Neuron System during Action Observation and Action Execution with Mirror Visual Feedback in Stroke: A Systematic Review , 2018, Neural plasticity.
[28] B. Allison,et al. Paired Associative Stimulation Using Brain-Computer Interfaces for Stroke Rehabilitation: A Pilot Study , 2016, European journal of translational myology.
[29] Christa Neuper,et al. Motor imagery and EEG-based control of spelling devices and neuroprostheses. , 2006, Progress in brain research.
[30] Fabien Lotte,et al. Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study , 2016, Journal of neural engineering.
[31] Vivek Prabhakaran,et al. A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke , 2016, Expert review of medical devices.
[32] Juho Hamari,et al. Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification , 2014, 2014 47th Hawaii International Conference on System Sciences.
[33] Brendan Z. Allison,et al. recoveriX: A new BCI-based technology for persons with stroke , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[34] S. Rafaeli,et al. Studying Gamification: The Effect of Rewards and Incentives on Motivation , 2015 .
[35] Christian Mühl,et al. Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design , 2013, Front. Hum. Neurosci..
[36] Rupert Ortner,et al. Brain‐Computer Interfaces With Multi‐Sensory Feedback for Stroke Rehabilitation: A Case Study , 2017, Artificial organs.