摘要
背景: 通常阿尔茨海默病(AD)表现为持续重复语言中的单词,短语或问题 。 判断持续症是困难的,但可作为认知表现指标,辅助诊断和疾病监测。 持续录音会产生大量数据,需要进行精心的手工分析,并有可能违反患者和其他人的隐私。 需要一个安全的记录和自动的分析方法。 目标:使用加速度计记录来自受试者的声带的骨传导声能波动,详细描述记录和分析阶段,并且证明该方法在AD中是可行的。 方法:通过加速度计捕获语音相关振动,贴在颞下颌关节上方。健康受试者阅读嵌入重复的脚本。从记录信号中提取特征,并使用主成分分析进行组合,以获得特征向量的一维表示。主题发现技术用于检测重复的片段。该设备在AD患者中进行了测试,以确定设备的可接受性和记录质量。 结果:与嵌入图案的已知位置的比较表明,通过适当的参数调整,图案发现方法可以检测重复行为。患者在家庭环境中是可以接受该设备的,且产生足够的信号质量。 结论:我们建立连续记录骨传导语言和检测持续模式是可能的。在未来的研究中,我们计划将言语重复的频率与痴呆症的阶段,进展和类型相关联。该方法有可能有助于疾病修复治疗的评估。
关键词: 阿尔茨海默病,持续症,骨传导言语,主题发现,主成分分析。
Current Alzheimer Research
Title:Motif Discovery in Speech: Application to Monitoring Alzheimer’s Disease
Volume: 14 Issue: 9
关键词: 阿尔茨海默病,持续症,骨传导言语,主题发现,主成分分析。
摘要: Background: Perseveration - repetition of words, phrases or questions in speech - is commonly described in Alzheimer’s disease (AD). Measuring perseveration is difficult, but may index cognitive performance, aiding diagnosis and disease monitoring. Continuous recording of speech would produce a large quantity of data requiring painstaking manual analysis, and risk violating patients’ and others’ privacy. A secure record and an automated approach to analysis are required.
Objectives: To record bone-conducted acoustic energy fluctuations from a subject’s vocal apparatus using an accelerometer, to describe the recording and analysis stages in detail, and demonstrate that the approach is feasible in AD. Methods: Speech-related vibration was captured by an accelerometer, affixed above the temporomandibular joint. Healthy subjects read a script with embedded repetitions. Features were extracted from recorded signals and combined using Principal Component Analysis to obtain a one-dimensional representation of the feature vector. Motif discovery techniques were used to detect repeated segments. The equipment was tested in AD patients to determine device acceptability and recording quality. Results: Comparison with the known location of embedded motifs suggests that, with appropriate parameter tuning, the motif discovery method can detect repetitions. The device was acceptable to patients and produced adequate signal quality in their home environments. Conclusion: We established that continuously recording bone-conducted speech and detecting perseverative patterns were both possible. In future studies we plan to associate the frequency of verbal repetitions with stage, progression and type of dementia. It is possible that the method could contribute to the assessment of disease-modifying treatments.Export Options
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Cite this article as:
Motif Discovery in Speech: Application to Monitoring Alzheimer’s Disease, Current Alzheimer Research 2017; 14 (9) . https://dx.doi.org/10.2174/1567205014666170309121025
DOI https://dx.doi.org/10.2174/1567205014666170309121025 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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Neuroinflammation is an invariable hallmark of chronic and acute neurodegenerative disorders and has long been considered a potential drug target for Alzheimer?s disease (AD) and dementia. Significant evidence of inflammatory processes as a feature of AD is provided by the presence of inflammatory markers in plasma, CSF and postmortem brain ...read more
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