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Discrete Fourier Transform

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...

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相关实验视频

Updated: Jun 28, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

基于振动建模的心脏多频振动信号传感器模块和特征提取方法

Zhixing Gao^1,2, Yuqi Wang^1,2, Kang Yu¹

¹Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China.

Sensors (Basel, Switzerland)

|April 13, 2024

概括

这项研究引入了一种新的多频心脏振动模型和用于监测心血管疾病的传感器. 该系统准确地提取多个振动特征,用于早期诊断和预防.

关键词:

1D-CNN 1D-CNN 是一个数字.心脏多频振动模型音频心脏图谱 (phonocardiography) 是一种心脏图谱.地震心脏学图 (seismocardiography) 是一种心脏学图.超低频地震心脏学超低频地震心脏学振动传感器是一个振动传感器.

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Published on: September 1, 2016

相关实验视频

Last Updated: Jun 28, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

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Published on: January 8, 2013

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

科学领域:

生物医学工程生物医学工程
心脏病学心脏病学
信号处理信号处理

背景情况:

心血管疾病对长期健康构成重大风险.
心脏活动会产生丰富的机械振动谱.
早期检测和持续监测对于管理心血管健康至关重要.

研究的目的:

为心脏开发一个多频振动模型.
创建一个敏感的传感器来收集心脏振动信号.
建立一个准确的算法,用于特征提取和动态监控.

主要方法:

利用富里埃序列理论来建模多频心脏振动.
开发了一种灵活的聚乙烯化物 (PVDF) 传感器,用于同步ULF-SCG,SCG和PCG信号采集.
采用1D-CNN模型进行特征提取,并开发了一个动态监控系统.

主要成果:

该PVDF传感器在收集心脏振动信号方面表现出高灵敏度.
1D-CNN算法在识别多个振动特征方面取得了高精度 (R2=0.95,MAE=2.18 ms,RMSE=4.89 ms).
该系统能够在线监控,平均预测速度为60.18us/point.

结论:

综合系统为使用多频振动的日常动态心脏监测提供了一种新方法.
这项技术为早期诊断和预防心血管疾病提供了潜力.
该系统适用于便携式监测设备,提高了对心脏健康评估的可访问性.