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Analyzing progression of motor and speech impairment in ALS

机译:分析肌肉电机和言语障碍的进展

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摘要

Amyotrophic lateral sclerosis (ALS) is a degenerative disease which causes death of neurons controlling voluntary muscles. It is currently assessed with subjective clinical measurements, but it would benefit from alternative surrogate biomarkers that can better estimate disease progression. This work analyzes speech and fine motor coordination of subjects recruited by the Answer ALS foundation using data from a mobile app. In addition, clinical variables such as speech, writing and total ALSFRS-R scores are also acquired along with forced and slow vital capacity. Cross-sectional and longitudinal analyses were performed using speech and fine motor features. Results show that both types of features are useful to infer clinical variables especially for males (R2=0.79 for ALSFRS-R total score), but their initial values are not helpful to predict speech and motor decline. However, we found that longitudinal progression for bulbar and spinal ALS onset are different and they can be identified with high accuracy by the extracted features.
机译:肌萎缩的外侧硬化症(ALS)是一种退行性疾病,导致神经元治疗自愿肌肉的死亡。目前正在通过主观临床测量评估,但它将受益于可以更好地估计疾病进展的替代替代生物标志物。这项工作分析了答案ALS基金会招募的主题的语音和精细电机协调,使用来自移动应用程序的数据。此外,还可以随着强制和慢的能力而获得诸如语音,写作和总ALSFRS-R分数之类的临床变量。使用语音和精细电机特征进行横截面和纵向分析。结果表明,两种类型的特征对于推断临床变量,特别是对于男性(R 2 对于ALSFRS-R总分= 0.79,但它们的初始值并不有助于预测言语和电机衰退。然而,我们发现凸形杆和脊柱ALS发作的纵向进展是不同的,并且可以通过提取的特征以高精度识别它们。

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