Littérature scientifique sur le sujet « Kinesthetic motor imagery »
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Articles de revues sur le sujet "Kinesthetic motor imagery"
Sadato, Norihiro, et Eiichi Naito. « Emulation of kinesthesia during motor imagery ». Behavioral and Brain Sciences 27, no 3 (juin 2004) : 412–13. http://dx.doi.org/10.1017/s0140525x0438009x.
Texte intégralRyo, K. « Kinestheitc motor imagery internally generate kinesthetic sensations ». Neuroscience Research 38 (2000) : S153. http://dx.doi.org/10.1016/s0168-0102(00)81764-2.
Texte intégralKwon, Sechang, Jingu Kim et Teri Kim. « Neuropsychological Activations and Networks While Performing Visual and Kinesthetic Motor Imagery ». Brain Sciences 13, no 7 (22 juin 2023) : 983. http://dx.doi.org/10.3390/brainsci13070983.
Texte intégralZhang, Lanlan, Yanling Pi, Hua Zhu, Cheng Shen, Jian Zhang et Yin Wu. « Motor experience with a sport-specific implement affects motor imagery ». PeerJ 6 (27 avril 2018) : e4687. http://dx.doi.org/10.7717/peerj.4687.
Texte intégralCoker Girón, Elizabeth, Tara Mclsaac et Dawn Nilsen. « Effects of Kinesthetic versus Visual Imagery Practice on Two Technical Dance Movements ». Journal of Dance Medicine & ; Science 16, no 1 (mars 2012) : 36–38. http://dx.doi.org/10.1177/1089313x1201600105.
Texte intégralStepp, C. E., N. Oyunerdene et Y. Matsuoka. « Kinesthetic Motor Imagery Modulates Intermuscular Coherence ». IEEE Transactions on Neural Systems and Rehabilitation Engineering 19, no 6 (décembre 2011) : 638–43. http://dx.doi.org/10.1109/tnsre.2011.2168982.
Texte intégralRodrigues, E. C., T. Lemos, B. Gouvea, E. Volchan, L. A. Imbiriba et C. D. Vargas. « Kinesthetic motor imagery modulates body sway ». Neuroscience 169, no 2 (août 2010) : 743–50. http://dx.doi.org/10.1016/j.neuroscience.2010.04.081.
Texte intégralOldrati, Viola, Alessandra Finisguerra, Alessio Avenanti, Salvatore Maria Aglioti et Cosimo Urgesi. « Differential Influence of the Dorsal Premotor and Primary Somatosensory Cortex on Corticospinal Excitability during Kinesthetic and Visual Motor Imagery : A Low-Frequency Repetitive Transcranial Magnetic Stimulation Study ». Brain Sciences 11, no 9 (10 septembre 2021) : 1196. http://dx.doi.org/10.3390/brainsci11091196.
Texte intégralOzlem, Ozcan, et Kul Hayriye. « Kinesthetic and visual imagery in young adults with chronic neck pain ». Sanamed, no 00 (2022) : 4. http://dx.doi.org/10.5937/sanamed17-37885.
Texte intégralRamezanzade, Hesam, Georgian Badicu, Stefania Cataldi, Fateme Parimi, Sahar Mohammadzadeh, Mahya Mohamadtaghi, Seyed Hojjat Zamani Zamani Sani et Gianpiero Greco. « Sonification of Motor Imagery in the Basketball Jump Shot : Effect on Muscle Activity Amplitude ». Applied Sciences 13, no 3 (23 janvier 2023) : 1495. http://dx.doi.org/10.3390/app13031495.
Texte intégralThèses sur le sujet "Kinesthetic motor imagery"
Herrera, Altamira Gabriela. « Vibrotactile feedback to support kinesthetic motor imagery in a brain-computer interface for post-stroke motor rehabilitation ». Electronic Thesis or Diss., Université de Lorraine, 2024. https://docnum.univ-lorraine.fr/ulprive/DDOC_T_2024_0002_HERRERA_ALTAMIRA.pdf.
Texte intégralMotor imagery-based brain-computer interfaces (BCI) offer promising solutions for post-stroke motor rehabilitation. Kinesthetic motor imagery (KMI) consists of imagining the sensations of a movement (such as temperature, pressure, roughness, muscular contraction, and nerve activation) rather than visualizing the movement. However, KMI lacks sensory or kinesthetic feedback, making this task challenging to understand, learn, and perform. This absence of feedback hinders performance evaluation and therapeutic guidance for post-stroke patients. To address this issue, feedback is provided to both patients and therapists, based on the patient's performance. Various feedback modalities, including visual, functional electrical stimulation, exoskeletons, and robotic assistance, have been explored to bridge this gap. Vibrotactile feedback is an underexplored alternative, that offers skin stimulation, targeting patients with limited mobility. Combining different feedback modalities has emerged as a promising approach to provide more effective feedback and enhance the rehabilitation process. The development of BCI feedback has often prioritized technological advancement over patient-centric considerations, resulting in limited clinical adoption. This thesis adopts a novel design-based research (DBR) approach, placing the user at the core of feedback system development. The objective is to design and evaluate vibrotactile feedback, complemented with visual feedback and integrated it with a KMI-based BCI to improve post-stroke motor rehabilitation. We start by identifying the needs and objectives of patients undergoing BCI training, leading to the hypothesis that bimodal feedback (combining vibrotactile and visual modalities) can enhance KMI within the BCI context. We tailor the vibrotactile stimulation to provide precise sensory feedback during grasping KMI. The vibrotactile device is then built considering the anatomical and physical limitations of post-stroke patients. Then, the vibrotactile stimulation is built in two phases: establishing vibration sensory thresholds for age-dependent groups and synchronizing a visual environment with vibrotactile stimulation. Different vibration patterns are compared to determine the one that better corresponds to the graphic animation. The stimulation was designed, drawing inspiration from the natural muscle activation of the muscles during grasping. Following the validation of the stimulation, the BCI is assessed with a group of neurotypical participants to measure its efficacy in improving KMI and evaluate its acceptability, usability, and reliability. Three feedback modalities (vibrotactile, visual and bimodal - vibrotactile and visual) are compared to determine their effectiveness. This research highlights the potential of a user-centered approach for developing feedback solutions that enhance motor imagery and rehabilitation outcomes. Furthermore, an experimental protocol is presented for future studies with post-stroke patients to assess the acceptability and usability of the meticulously designed BCI with bimodal feedback. The findings of this work lay the foundation for translating the resulting BCI into practical clinical applications, ultimately benefiting post-stroke patients
Jackson, Elizabeth Helene. « An exploratory examination of the electroencephalographic correlates of aural imagery, kinesthetic imagery, music listening, and motor movement by novice and expert conductors ». The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345482654.
Texte intégralRabahi, Tahar. « Étude des relations entre stimuli cognitifs et la motricité relative à un geste complexe ». Thesis, Lyon 1, 2014. http://www.theses.fr/2014LYO10023/document.
Texte intégralSeveral studies have shown that cortical motor areas, located in the frontal cortex and responsible for voluntary movement, might be involved in the process of understanding action words. From this point of view, it has been reported that the performance of a simple motor act (e.g.: catching an object) might be improved by the pronunciation, reading or listening to words referring to the action. We approached the relationship between speech and action through the study of the effect of action verbs and other cognitive stimuli, kinesthetic imagery (KI) and mental subtraction (MS), upon the performance of a complex motor act, the Squat vertical jump (SVJ). We measured the height of SVJ in young naive men (7 experiments, n = 114) and women (2 experiments, n = 41) using an Optojump® and a Myotest® apparatuses. The results showed that the silent and loud pronunciation of specific action verb to SVJ (jump), the KI and the MS improved significantly the performance of the movement, in men (up to 2.7 cm) but less in women (up to + 1 cm in the 2 experiments). The results of other experiments obtained with men indicated that pronunciation of the action verb nonspecific to the jump (pinch) increased also the SVJ performance, while the pronunciation or listening to other verbs unrelated to the jump (Jick, move) had no significant effect on the SVJ. A meaningless verb for the French subjects (tiao = jump in Chinese) showed, in turn, no effect as did dream, faJJ and stop. The verb win improved significantly the SVJ height as much as its antonym Jose, thus suggesting a possible influence of affects in the subjects' performance. It appears that the effects of the specific action verb jump did seem effective but not totally exclusive for the enhancement of the SVJ performance, since non-linguistic stimuli (IK) or unrelated to action (MS) may have had a positive effect on the improvement in motor performance. Moreover verbs referring to emotion, unrelated to action, increased the height of SVJ similarly to the specific action verb jump. The results led us to consider the hypothesis that improving the performance of a complex gesture is dependent, a minima, upon the individual's intention, attention, emotions and also, and perhaps most importantly, concepts (we call concepts, the mental representations) as they may be induced by the cerebral processing of words
Chapitres de livres sur le sujet "Kinesthetic motor imagery"
Anema, Helen A., et H. Chris Dijkerman. « Motor and Kinesthetic Imagery ». Dans Multisensory Imagery, 93–113. New York, NY : Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5879-1_6.
Texte intégralStecklow, M. V., M. Cagy et A. F. C. Infantosi. « Investigating the EEG Alpha Band during Kinesthetic and Visual Motor Imagery of the Spike Volleyball Movement ». Dans XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010, 41–44. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13039-7_11.
Texte intégralBunno, Yoshibumi, Chieko Onigata et Toshiaki Suzuki. « Motor imagery in evidence-based physical therapy ». Dans Physical Therapy - Towards Evidence-Based Practice [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1003041.
Texte intégralShah, Rakshit, Sohail Daulat, Vadivelan Ramu, Viashen Moodley, Puja Sengupta, Deepa Madathil, Yifei Yao et Kishor Lakshminarayanan. « Applications of Brain-Computer Interface in Action Observation and Motor Imagery ». Dans New Insights in Brain-Computer Interface Systems [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.114042.
Texte intégralSvard, Lois. « Imagery—Music in the Mind’s Eye, Ear, Body ». Dans The Musical Brain, 149—C8P71. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197584170.003.0008.
Texte intégralActes de conférences sur le sujet "Kinesthetic motor imagery"
Igasaki, Tomohiko, Junya Takemoto et Katsuya Sakamoto. « Relationship Between Kinesthetic/Visual Motor Imagery Difficulty and Event-Related Desynchronization/Synchronization ». Dans 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8512673.
Texte intégralRimbert, Sebastien, Cecilia Lindig-Leon et Laurent Bougrain. « Profiling BCI users based on contralateral activity to improve kinesthetic motor imagery detection ». Dans 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2017. http://dx.doi.org/10.1109/ner.2017.8008383.
Texte intégralArfaras, G., A. Athanasiou, N. Pandria, K. R. Kavazidi, P. Kartsidis, A. Astaras et P. D. Bamidis. « Visual Versus Kinesthetic Motor Imagery for BCI Control of Robotic Arms (Mercury 2.0) ». Dans 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2017. http://dx.doi.org/10.1109/cbms.2017.34.
Texte intégralSakamoto, Katsuya, Junya Takemoto et Tomohiko Igasaki. « Investigation of kinesthetic and visual motor imagery differences during movement tasks using electroencephalograms ». Dans 2017 10th Biomedical Engineering International Conference (BMEiCON). IEEE, 2017. http://dx.doi.org/10.1109/bmeicon.2017.8229139.
Texte intégralCraik, Alexander, Atilla Kilicarslan et Jose L. Contreras-Vidal. « Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks ». Dans 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8857575.
Texte intégralStecklow, M. V., M. Cagy et A. F. C. Infantosi. « Event-related synchronization/desynchronization to assess changes in alpha peak frequency along time during kinesthetic motor imagery ». Dans 2011 Pan American Health Care Exchanges (PAHCE 2011). IEEE, 2011. http://dx.doi.org/10.1109/pahce.2011.5871909.
Texte intégralIgasaki, Tomohiko, Arata Shibuta et Katsuya Sakamoto. « Evaluation of Kinesthetic/Visual Motor Imagery of Dorsiflexion of the Right Ankle Joint via Event-Related Desynchronization/Synchronization ». Dans 2019 International Biomedical Instrumentation and Technology Conference (IBITeC). IEEE, 2019. http://dx.doi.org/10.1109/ibitec46597.2019.9091709.
Texte intégralMosqueda-Herrera, A., D. Martinez-Peon, L. Gomez-Sanchez, Marco I. Ramirez-Sosa, S. Delfin-Prieto et F. G. Benavides-Bravo. « Characterization of Kinesthetic Motor Imagery paradigm for wrist and forearm using an algorithm based on the Hurst Exponent and Variogram ». Dans 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9282888.
Texte intégralGuerrero-Mendez, Cristian D., Cristian F. Blanco-Diaz, Denis Delisle-Rodriguez, Andrés F. Ruiz-Olaya, Sebastián Jaramillo-Isaza et Teodiano F. Bastos-Filho. « Analysis of EEG Rhythms During Four-Direction First-Person Reach-to-Grasp Kinesthetic Motor Imagery Tasks from the Same Limb ». Dans 2023 IEEE 3rd Colombian BioCAS Workshop. IEEE, 2023. http://dx.doi.org/10.1109/colbiocas59270.2023.10280841.
Texte intégralRimbert, Sebastien, Laurent Bougrain et Stephanie Fleck. « Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment : a Comparative Study Based on Guided or Trial-and-Error Approaches ». Dans 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9283225.
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