DALLAS, April 4, 2012 /PRNewswire/ -- Texas Instruments Incorporated (TI) (NASDAQ: TXN) today expanded its award-winning ADS1298 analog front end (AFE) family with five new fully integrated AFEs for portable biopotential measurement applications. The new electrocardiogram (ECG) and electroencephalograph (EEG) AFEs are the first to offer 16- and 24-bit resolution with 1 or 2 channels. The devices cut power consumption by more than 94 percent compared to discrete implementations, while shrinking board space requirements up to 86 percent. These reductions will enable portable medical, sports and fitness equipment that combines long battery life with a form factor that is smaller, lighter and easier to wear. For information or to order samples, visit www.ti.com/ads1291-pr.
Key features and benefits of the new AFEs:
- Reduce board space, system complexity and power consumption: Integrate low-noise programmable gain amplifiers (PGAs), test signals, a right leg drive amplifier, oscillator, voltage reference and lead-off detection function to simplify design, while significantly reducing board space requirements and cutting power consumption to only 335 uW/channel.
- Support AAMI, IEC requirements: Feature input-referred noise below 8 uVpp to support Association for the Advancement of Medical Instrumentation (AAMI) and International Electrotechnical Commission (IEC) end-equipment performance requirements.
- Maximize design reuse: Pin compatible, enabling customers to maximize designs across a family of end products.
Typical applicationsCommon applications for the new AFEs in the ADS1298 family include Holter and fitness heart-rate monitors. Customers can expect the following power and space savings when used in these applications:
- A two-channel Holter based on the ADS1292 consumes 94-percent less power while using up to 92-percent less board space and 92-percent fewer components than an equivalent discrete implementation.
- When used in a typical fitness heart-rate monitor, the ADS1291 consumes 89-percent less power while using 52-percent less board space and 75-percent fewer components compared to discrete implementations.