ADS1194CZXGR - Texas Instruments

Manufacturer Part Number

ADS1194CZXGR

Manufacturer

Texas Instruments

Introduction

The ADS1194CZXGR is a 16-bit, 4-channel analog front-end (AFE) designed for medical, industrial, and other high-precision measurement applications. It features a low-noise, high-performance ADC with built-in PGA and programmable anti-aliasing filters, making it well-suited for a variety of signal conditioning tasks.

Product Features and Performance

16-bit resolution

4 channels

Low power consumption of 5.7 mW

Supports analog supply voltage range of 2.7V to 5.25V and digital supply voltage range of 1.65V to 3.6V

Integrated programmable gain amplifier (PGA) and anti-aliasing filters

Flexible data interface options including SPI and I2C

Product Advantages

Excellent signal-to-noise ratio and low distortion for high-precision measurements

Configurable settings to optimize performance for different applications

Small 64-LFBGA package for compact design

Key Reasons to Choose This Product

Reliable and high-performance analog front-end solution from a trusted manufacturer

Versatile features and customizable settings to meet diverse application requirements

Low power consumption suitable for battery-powered or space-constrained designs

Quality and Safety Features

Rigorous quality control and testing processes

Compliance with relevant industry standards and certifications

Compatibility

The ADS1194CZXGR is compatible with a wide range of microcontrollers and processors, making it suitable for integration into various systems and applications.

Application Areas

Medical equipment (e.g., patient monitoring, ECG, EMG)

Industrial instrumentation and control systems

High-precision measurement and data acquisition

Product Lifecycle

The ADS1194CZXGR is an active product, and our website's sales team continues to provide support and development for this model. There are no immediate plans for discontinuation, and customers can contact our website's sales team for information on equivalent or alternative models if needed.