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双轴颈椎加速计信号的基线特征。

Baseline characteristics of dual-axis cervical accelerometry signals.

机构信息

Bloorview Research Institute, University of Toronto, Toronto, ON, Canada.

出版信息

Ann Biomed Eng. 2010 Mar;38(3):1048-59. doi: 10.1007/s10439-009-9874-z.

Abstract

Dual-axis swallowing accelerometry is a promising noninvasive tool for the assessment of difficulties during deglutition. The resting and anaerobic characteristics of these signals, however, are still unknown. This paper presents a study of baseline characteristics (stationarity, spectral features, and information content) of dual-axis cervical vibrations. In addition, modeling of a data acquisition system was performed to annul any undesired instrumentation effects. Two independent data collection procedures were conducted to fulfil the goals of the study. For baseline characterization, data were acquired from 50 healthy adult subjects. To model the data acquisition (DAQ) system, ten recordings were obtained while the system was exposed to random small vibrations. The inverse filtering approach removed extraneous effects introduced by the DAQ system. Approximately half of the filtered signals were stationary in nature. All signals exhibited a level of statistical dependence between the two axes. Also, there were very low frequency oscillations present in these signals that may be attributable to vasomotion of blood vessels near the thyroid cartilage, blood flow, and respiration. Demographic variables such as age and gender did not statistically influence baseline information-theoretic signal characteristics. However, participant age did affect the baseline spectral characteristics. These findings are important to the further development of diagnostic devices based on dual-axis swallowing vibration signals.

摘要

双轴吞咽加速计是一种有前途的非侵入性工具,可用于评估吞咽过程中的困难。然而,这些信号的静止和厌氧特性尚不清楚。本文介绍了双轴颈椎振动的基线特征(平稳性、频谱特征和信息含量)的研究。此外,还对数据采集系统进行了建模,以消除任何不希望的仪器影响。为了实现研究目标,进行了两项独立的数据采集程序。为了进行基线特征描述,从 50 名健康成年受试者中采集数据。为了对数据采集(DAQ)系统进行建模,在系统暴露于随机小振动时获得了 10 次记录。逆滤波方法消除了由 DAQ 系统引入的多余影响。大约一半的滤波信号本质上是稳定的。所有信号在两个轴之间都表现出一定程度的统计相关性。此外,这些信号中存在极低频率的振荡,这可能归因于甲状腺软骨附近血管的血管运动、血流和呼吸。年龄和性别等人口统计学变量并没有对信息论信号特征产生统计学影响。然而,参与者的年龄确实影响了基线频谱特征。这些发现对基于双轴吞咽振动信号的诊断设备的进一步发展很重要。

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