相关实验视频
Updated: May 14, 2025

08:21
Wideband Optical Detector of Ultrasound for Medical Imaging Applications
Published on: May 11, 2014
10.8K
用频率调节的连续波雷达检测生命活动的非常大规模集成友好的方法.
Krzysztof Ślot1, Piotr Łuczak1, Paweł Kapusta1
1Institute of Applied Computer Science, Lodz University of Technology, Stefanowskiego 18, 90-537 Łódź, Poland.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本研究介绍了一种简单的算法,用于检测使用频率调制连续波 (FMCW) 雷达的呼吸活动. 这种对硬件友好的方法在人类检测中实现了超过94%的准确性,用于诸如生命体征监测等应用.
科学领域:
- 雷达信号处理 雷达信号处理
- 嵌入式系统 嵌入式系统
- 机器学习 机器学习
背景情况:
- 频调制连续波 (FMCW) 雷达为非侵入式传感提供了潜在的潜力.
- 智能传感器的开发需要节能数据分析解决方案.
- 现有的呼吸活动检测方法可能缺乏硬件实施可行性.
研究的目的:
- 通过使用FMCW雷达数据来呈现呼吸活动检测的简单算法.
- 为定制数字-模拟VLSI硬件提出一个适合的计算架构.
- 开发一款节能数据分析解决方案,用于检测生命体征和预防人口贩运.
主要方法:
- 算法开发涉及到将数据总结成运动描述器.
- 使用循环神经网络与封闭循环单元的描述符的分类.
- 模拟VLSI电路设计,制造和测试,以告知神经模型约束.
主要成果:
- 为了处理VLSI限制,引入了一种新的训练损失组件和重量多样化机制.
- 使用室内录音的实验评估显示了高性能.
- 该算法实现了超过94%的人类检测准确度和可比的F1分数.
结论:
- 拟议的算法很简单,并且易于硬件实现.
- 该方法为智能FMCW传感器开发提供了一个独特的,节能的解决方案.
- 该方法在需要在可见度有限的情况下检测生命体征的应用中显示出显著的前景.
相关概念视频
IR Frequency Region: Fingerprint Region
657
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
657
Sampling Continuous Time Signal
185
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
In the...
185
Basic Continuous Time Signals
172
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
172
Frequency-Domain Interpretation of PD Control
83
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
The proportional control gain, combined with the...
83
Pulse rhythm
722
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
722
Linear Approximation in Frequency Domain
79
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
79

