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An Online Program for the Diagnosis and Rehabilitation of Patients with Cochlear Implants

机译:用于耳蜗植入患者的诊断和恢复的在线计划

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This paper presents the general architecture and functionality of Co-Clear, an online program designed for the diagnosis and rehabilitation of patients with cochlear implants. The main features rely on the portability of the system, which can run multiplatform, allowing the patient to continue auditory rehabilitation outside the clinic. Co-Clear follows state-of-the-art techniques both in databases management and object organization. As for the perceptual model, it is based on the priming technique according to which the hypothesis for the rehabilitation method lies on the continuous presentation of synthetic stimuli. This paper presents a first version oriented towards the diagnosis of speech recognition and auditory rehabilitation of children. The easy-to-use GUI is also highlighted. The diagnostic model attempts to identify accuracy in the interpretation of frequency ranges characteristic of vowels. This approach complements traditional audiological tests based on pure tones. The rehabilitation model currently incorporated in the system allows for both discrimination and identification tasks and the same has been implemented on a multi-layered architecture made of a series of tasks chosen by the clinician which, allow for the selection of multiple curricula. Curricula here have to be understood as individualized and specific series of auditory tasks that need to be completed in different sessions (and days) by one patient. The system identifies the accuracy rate of each task and directs the patient towards the corresponding set of tasks. Both the tasks and the paths to complete the rehabilitation exercises can be managed at the clinic. This feature can guarantee a fast adaptation to the cochlear implant as the system focuses on the adaptation to natural spoken communicative situations.
机译:本文介绍了共同清晰的一般架构和功能,是一个用于诊断和恢复耳蜗植入物的诊断和康复的在线计划。主要功能依赖于系统的可移植性,可以运行多平面格式,允许患者继续在诊所以外的听觉康复。 Co-Clear遵循数据库管理和对象组织的最先进的技术。至于感知模型,它基于根据该引发技术,根据该方法,康复方法的假设在于合成刺激的连续呈递。本文展示了朝向诊断讲话识别和儿童听觉康复的第一个版本。易于使用的GUI也突出显示。诊断模型试图识别元音特征的频率范围的解释中的准确性。该方法根据纯色调补充传统的听力学测试。目前结合在系统中的康复模型允许识别和识别任务,并且在多层架构上实现了由临床医生选择的一系列任务制成的多层架构,允许选择多课程。这里的课程必须被理解为一个患者需要在不同的会话(和日间)中完成的个性化和特定的听觉任务。系统识别每个任务的准确率,并将患者指向相应的任务集。可以在诊所管理完成康复锻炼的任务和路径。此功能可以保证对耳蜗植入物的快速调整,因为系统专注于适应自然语音交流情况。

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