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Eye Movement Desensitization and Reprocessing Therapy in Virtual Reality: Proof of ConceptHammonds, Kinslee 01 January 2021 (has links) (PDF)
This research focuses on the integration of Eye Movement Desensitization and Reprocessing therapy (EMDR) and Virtual Reality (VR). EMDR is a therapeutic approach using bilateral stimulation to process distressing memories, emotions, and experiences. It is widely employed for conditions like PTSD, anxiety, and depression. The study involves the development of a proof-of-concept virtual reality tool tailored for EMDR therapy sessions. The tool comprises a bilaterally moving sphere within the user's VR environment, controllable by the therapist through a graphical interface on a computer. The therapist can dynamically adjust the sphere's color, speed, and sound to enhance the therapeutic process. The study's findings affirm the feasibility of creating a VR tool that supports therapists in conducting effective EMDR therapy sessions.
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The role of alternating bilateral stimulation in establishing positive cognition in EMDR therapy: a multi-channel near-infrared spectroscopy study / EMDR療法での肯定的認知の構築における左右交互刺激の役割:多チャンネル近赤外線分光法を用いた研究Amano, Tamaki 23 March 2017 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(人間健康科学) / 甲第20294号 / 人健博第42号 / 新制||人健||4(附属図書館) / 京都大学大学院医学研究科人間健康科学系専攻 / (主査)教授 二木 淑子, 教授 精山 明敏, 教授 村井 俊哉 / 学位規則第4条第1項該当 / Doctor of Human Health Sciences / Kyoto University / DFAM
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Algorithmes de réduction du bruit en vue d'une amélioration de l'intelligibilité de la parole : cas de la prothèse cochléaire / Reduction algorithms for speech intelligibility improvement dedicated to a bilateral cochlear implantKallel, Fathi 13 December 2011 (has links)
La prothèse cochléaire est un appareillage destiné à la réhabilitation des surdités profondes et totales dont un appareillage conventionnel est inefficace. Elle assure la stimulation directe des neurones cochléaires à travers un faisceau d’électrodes. Différents travaux de recherches ont été établis afin d'évaluer l'intelligibilité de la parole chez les sujets bilatéralement implantés en environnements silencieux et bruité. Les résultats ont montré une bonne intelligibilité de la parole en milieu silencieux. Toutefois, les capacités de perception de la parole chez les patients implantés se dégradent en environnement bruité. Nous avons de ce fait proposé trois approches de traitement du signal en vue d'une amélioration de l'intelligibilité de la parole dans le cas de l'implant cochléaire bilatéral: la stimulation bilatérale décalée, l'algorithme de la soustraction spectrale bi-voie et l'algorithme de la soustraction interspectrale. Des améliorations de l'intelligibilité de la parole entre 4% et 10% ont été notées dans le cas de la stimulation bilatérale décalée par rapport à la stimulation bilatérale symétrique. L'approche basée sur l'algorithme de la soustraction spectrale bi-voie présentait des améliorations variables entre 10% et 17%. De meilleures performances ont été obtenues lorsque l'approche basée sur l'algorithme de la soustraction interspectrale est considérée où les améliorations étaient entre 15% et 27% / Cochlear prostheses are intended for persons suffering from deep or total deafness where conventional prostheses proved ineffective. In quiet listening conditions, most bilateral cochlear implant (BCI) users can now achieve even more than 80% word recognition scores regardless the used device. However, under more challenging listening conditions, BCI recipients perform poorly, compared to normal-hearing listeners. In this work, we proposed three speech processing approaches for speech intelligibility improvement. The first is based on shifted bilateral cochlear implant stimulation; the second is based on dual-channel spectral subtraction algorithm and finally the cross power spectral subtraction algorithm was considered. Experimental results showed a speech intelligibility improvement between 4% and 10% when the shifted bilateral cochlear implant stimulation is considered. Performance amelioration was observed when the dual-channel spectral subtraction based speech enhancement algorithm was considered and the improvement was between 10% and 17%. The better performance was obtained when noisy speech signals were processed using cross power spectral subtraction algorithm and the improvement was between 15% and 27%
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