ADAS1000-4BSTZ
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- Mfr.Part #
- ADAS1000-4BSTZ
- Manufacturer
- Analog Devices, Inc.
- Package / Case
- 64-LQFP
- Datasheet
- Download
- Description
- ANALOG CIRCUIT, PQFP64
- Stock
- 2,541
- In Stock ：
- 2,541
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- Manufacturer :
- Analog Devices, Inc.
- Product Category :
- Analog Front End (AFE)
- Lead Free :
- Contains Lead
- Length :
- 10.2mm
- Conversion Rate :
- 2 Msps
- Number of Channels :
- 4
- Signal to Noise Ratio (SNR) :
- 100 dB
- Factory Lead Time :
- 12 Weeks
- Max Operating Temperature :
- 85°C
- Min Operating Temperature :
- -40°C
- Interface :
- SPI, Serial
- Operating Supply Current :
- 5.4mA
- Number of Terminations :
- 64
- Lifecycle Status :
- Production (Last Updated: 3 weeks ago)
- Resolution :
- 2.375 B
- Common Mode Rejection Ratio :
- 110 dB
- Supply Voltage :
- 3.3V
- Number of Pins :
- 64
- Moisture Sensitivity Level (MSL) :
- 3 (168 Hours)
- Min Supply Voltage :
- 3.15V
- Max Supply Voltage :
- 5.5V
- Max Power Dissipation :
- 29.7mW
- Width :
- 10.2mm
- Surface Mount :
- yes
- Temperature Grade :
- Industrial
- Number of Functions :
- 1
- Pin Count :
- 64
- Number of Bits :
- 19
- Peak Reflow Temperature (Cel) :
- 260
- Operating Supply Voltage :
- 3.3V
- Packaging :
- Tray
- Terminal Position :
- QUAD
- Package / Case :
- 64-LQFP
- Max Input Voltage :
- 2.3V
- Pbfree Code :
- No
- RoHS Status :
- ROHS3 Compliant
- Terminal Form :
- Gull wing
- REACH SVHC :
- No SVHC
- Time@Peak Reflow Temperature-Max (s) :
- 30
- Voltage - Supply, Digital :
- 1.71V~1.89V
- Type :
- GENERAL PURPOSE
- Voltage - Supply, Analog :
- 3.15V~5.5V
- Terminal Pitch :
- 0.5mm
- Base Part Number :
- ADAS1000
- ECCN Code :
- EAR99
- Height :
- 1.45mm
- Datasheets
- ADAS1000-4BSTZ
Analog Front End (AFE) Analog Devices, Inc. ADAS1000-4BSTZ Overview
The ADAS1000-4BSTZ, designed and manufactured by Analog Devices, Inc., is a high-performance Analog Front End (AFE) specifically tailored for advanced medical imaging and monitoring systems. This integrated circuit offers a comprehensive solution designed to simplify the design and enhance the functionality of electrocardiogram (ECG) and other biopotential measurement devices. The ADAS1000-4BSTZ is crucial for developers aiming to create reliable and precise medical diagnostic equipment. Its robust feature set supports high-resolution signal acquisition and conditioning, making it an invaluable component in the development of healthcare technology. By integrating this AFE, manufacturers can significantly improve the overall performance and reliability of their systems, making the ADAS1000-4BSTZ a key driver in advancing medical technology.
ADAS1000-4BSTZ Features
The ADAS1000-4BSTZ includes multiple features that set it apart in the competitive field of medical electronics. It offers a multi-channel architecture which allows simultaneous recording of ECG signals across several channels. This feature is complemented by its high-resolution ADCs, providing clear and accurate signal outputs. The device also includes built-in pace detection and respiration measurement capabilities, which enhance its utility in patient monitoring systems. Its low power consumption makes it ideal for portable devices, and its compact PQFP64 package ensures that it can be integrated into systems where space is at a premium.
ADAS1000-4BSTZ Applications
- Portable ECG Systems: The ADAS1000-4BSTZ is used to enhance the portability and accuracy of handheld or wearable electrocardiogram devices, enabling real-time heart rate monitoring in various settings, including outpatient care and home-based health monitoring.
- Multi-Parameter Patient Monitors: Integrates into complex patient monitoring systems that track multiple physiological parameters, providing crucial data for critical care environments such as ICUs and emergency rooms.
- Wireless Monitoring Devices: Utilized in the development of wireless patient monitoring systems that require low power consumption and high data accuracy for continuous health status updates without the need for direct physical connections.
- Biometric Analysis Devices: Essential in devices analyzing more detailed biometric data like respiratory rates and cardiac diagnostics, supporting advanced analytics for better diagnostic accuracy and patient outcomes.
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