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Analog-to-Digital Conversion › lesson 81 of 100 · Expert

Design ADCs for Biomedical Applications

This lesson is part of a series on analog-to-digital conversion and will teach how to design ADCs for biomedical applications. After this lesson, the learner will be able to design ADCs that meet biomedical signal acquisition standards.

Designing ADCs for biomedical applications requires meeting specific signal acquisition standards.

A concrete example of this is the design of an electrocardiogram (ECG) system, which requires an ADC that can accurately capture the low-amplitude signals from the heart. This is achieved by following the biomedical signal acquisition standards, which dictate the minimum requirements for signal-to-noise ratio (SNR), resolution, and sampling rate. For instance, the American Heart Association recommends a minimum SNR of 30 dB for ECG signals.

To meet these standards, ADC designers must carefully select the ADC architecture, such as the successive approximation register (SAR) or delta-sigma (ΔΣ) architecture, and ensure that it is optimized for low noise and high resolution. Additionally, the analog front-end (AFE) must be designed to provide adequate signal conditioning, including amplification and filtering, to prepare the signal for conversion.

The sampling rate and resolution of the ADC must also be carefully chosen to ensure that the signal is accurately captured and represented in the digital domain. For example, a higher sampling rate may be required to capture the high-frequency components of the ECG signal, while a higher resolution may be required to accurately represent the low-amplitude signals.

Örnekler

Tam kurs her dersi 5 soruyla denetler, düzeyinize uyar ve yerinizi saklar.