登录查看更多内容

What are the most common sources of noise in biomedical signals?

由人工智能和领英社区提供技术支持

Biomedical signals are the measurements of physiological activity obtained from living organisms, such as electrocardiograms (ECGs), electroencephalograms (EEGs), or electromyograms (EMGs). They provide valuable information for diagnosis, monitoring, and treatment of various health conditions. However, biomedical signals are often corrupted by noise, which is any unwanted or irrelevant signal that interferes with the desired signal. Noise can reduce the signal quality, distort the signal features, and affect the accuracy and reliability of signal analysis. Therefore, it is important to understand the most common sources of noise in biomedical signals and how to deal with them.

此文章中的业界达人

由社区从 1 条内容中精选。了解更多

SIK Loo TAN

Senior Lecturer at University of Malaya

1 External noise

External noise refers to the noise that originates from outside the biological system, such as the environment, the recording equipment, or the transmission channel. Examples of external noise include power line interference, electrostatic interference, electromagnetic interference, and thermal noise. Power line interference is caused by the alternating current of the power supply and can induce a sinusoidal component that may overlap with the signal spectrum. Electrostatic interference is caused by static electricity generated by friction and can induce sudden spikes or bursts that may mask the signal features. Electromagnetic interference is caused by electromagnetic fields emitted by other devices or sources and can induce fluctuations or distortions that may alter the signal shape. Thermal noise is caused by the random motion of electrons in electrical circuits and components and can add a random component that may increase the signal variability.

添加您的观点

2 Internal noise

Internal noise refers to the noise that originates from within the biological system, such as physiological processes, measurement sites, or subject factors. Examples of this noise include baseline drift, muscle artifacts, motion artifacts, and biological interference. Baseline drift is a noise caused by gradual changes in the signal baseline, which can shift or tilt the signal waveform. Muscle artifacts are caused by involuntary or voluntary contractions of the muscles and can add high-frequency components that may obscure signal peaks or troughs. Motion artifacts are caused by movement of the subject or electrodes and may add low-frequency components to modulate the signal waveform. Biological interference is caused by overlapping or cross-talk of different physiological signals, such as heart rate, respiration, or blood pressure, and can add complex components that may confuse signal interpretation.

添加您的观点

SIK Loo TAN

Senior Lecturer at University of Malaya
举报内容
For imaging system, must take into consideration of the auto-fluoresce from the tissues, i.e. collagen. Signal detected by the imaging system must be above the background noise. This is indeed the greatest challenge in imaging.

已翻译

赞

3 How to reduce noise

There are various methods and techniques to reduce noise in biomedical signals, depending on the type, source, and characteristics of the noise. Generally, improving the signal acquisition is essential to capturing biomedical signals with minimal distortion and interference. This includes selecting the appropriate sensors, electrodes, wires, amplifiers, filters, and converters, as well as optimizing the signal sampling rate, resolution, and range. Additionally, enhancing the signal processing involves applying algorithms and tools to modify or extract signals in the digital domain. Furthermore, signal analysis requires techniques and models to interpret or classify signals in a specific context. It also involves using features and methods to represent or compare signals with relevant variables or outcomes.

添加您的观点

4 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Bioengineering

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are the most common sources of noise in biomedical signals?

1

2

3

4

1 External noise

2 Internal noise

3 How to reduce noise

4 Here’s what else to consider

Bioengineering

给文章评分

感谢您的反馈

更多Bioengineering相关文章

更多相关阅读内容