VSP1021PFB Allicdata Electronics
Allicdata Part #:

296-12700-ND

Manufacturer Part#:

VSP1021PFB

Price: $ 0.00
Product Category:

Integrated Circuits (ICs)

Manufacturer: Texas Instruments
Short Description: IC SGNL PROC/DIGITIZER LP 48TQFP
More Detail: 1 Channel AFE 10 Bit 95mW 48-TQFP (7x7)
DataSheet: VSP1021PFB datasheetVSP1021PFB Datasheet/PDF
Quantity: 1000
Stock 1000Can Ship Immediately
Specifications
Series: --
Packaging: Tray 
Part Status: Not For New Designs
Number of Bits: 10
Number of Channels: 1
Power (Watts): 95mW
Voltage - Supply, Analog: 2.7 V ~ 3.3 V
Voltage - Supply, Digital: 2.7 V ~ 3.3 V
Package / Case: 48-TQFP
Supplier Device Package: 48-TQFP (7x7)
Base Part Number: VSP1021
Description

Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us:   sales@allicdata.com

The VSP1021PFB is a type of data acquisition Analog Front End (AFE) component, specifically an ultra-low power mixed signal front end for medical or wearable sensor applications. This microsensor AFE has a suite of digital and analog peripherals integrated with a small form factor in order to detect, measure, and track different types of biosignal data. It is equipped with built-in amplifiers, analog filters, and digital signal processing functions that filter and process signals from medical devices.

The VSP1021PFB has the capability to measure biopotential signals including electrocardiogram (ECG) and electroencephalogram (EEG) signals in many applications such as electrodiagnostics, monitoring and diagnosis, sports, gaming, and home health. The device also supports non-invasive measurements of physiological signals such as galvanic skin response (GSR), temperature, pulse oximetry, and photoplethysmograph (PPG).

The integration of the VSP1021PFB helps to eliminate the need for multiple components and external circuitry, allowing designers to develop a low-cost, reliable and high-performance system with a much reduced board area and components. This device helps to save system costs by providing a single AFE for multiple applications.

The working principle of the VSP1021PFB is based on the conversions from biopotential signals such as ECG or EEG to analog or digital output signals. This device performs the necessary conditioning, filtering, and signal processing functions to convert the signal collected from the sensors into a measurable output signal. The signal conditioning process includes signal bias, pre-amplification, signal filtering and signal digitization.

The pre-amplification stage amplifies the signal of biopotential signals collected from the sensor. The signal filtering stage applies the required filters to eliminate high-frequency noise and power line interference. This is done in order to ensure the signal is in its purest form before it is sent to the analog-to-digital converter for further signal processing.

The analog-to-digital converter in the VSP1021PFB also includes multiplexers and channels with routing capability, as well as high-accuracy ADC (up to 16 bits) for analog signal muting, for better noise rejection. The subsequent signal processing algorithm can detect transient changes in the input signal, enabling patterns to be analysed and the signal to be normalized to the given range.

Finally, the processed signal can be output to an external interface via serial peripheral interface (SPI) communication interface, or a variety of digital output pins. Due to its low power usage, the device is ideal for battery-powered and portable applications such as smart watches, phones and health monitoring systems.

The VSP1021PFB is a powerful data acquisition Analog Front End (AFE) component, which can be utilized in many applications to detect and measure biopotential signals from medical devices. It is equipped with integrated digital and analog peripherals in order to perform the necessary signal conditioning, filtering, and processing functions. With its low power usage and the ability to customize routing for different types of signals, this device is suitable for many medical and sensory applications.

The specific data is subject to PDF, and the above content is for reference

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