Meet the

SNCE800 Series™

Meet The SNCE800 Series

The SNCE800 is an integrated Analog Front-end, Analog-to-Digital-Converter, and Digital Signal Processor chip aimed at high-quality electrophysiological measurements against a low power consumption.

Product Variations

SNCE802

2 Channels
Optimized for Single Lead Patches
High Signal Quality
Supports Dry Electrodes

SNCE804

4 Channels
Optimized for Advanced Patches
High Signal Quality
Supports Dry Electrodes

SNCE808

8 channels (4 bip or 8 uni)
Optimized for Multichannel Wearable Devices
High Signal Quality
Supports Dry Electrodes
Daisy-Chain Possibility

SNCE800

Block Diagram

Analog Front End (AFE)
Analog-to-Digital Converter (ADC)
Digital Signal Processor (DSP)

Technical

Specifications

SNCE800 is all about signal quality and low power consumption. The SNCE800 series has been developed for use in combination with dry electrodes. The combination of low leakage current, high input impedance, high Common Mode Rejection Ratio, and Input Noise ensures the highest possible signal quality. Depending on the number of channels, the total power consumption is roughly 3 mW with all channels enabled and can be tailored down to 0.5 mW in its most power-efficient mode.

Applications

Medical

SNCE800 series has been designed to measure electrophysiological activity. It captures signals from the heart (ECG), brain (EEG), muscles (EMG), and other bio-electrical signals. These signals are typically captured in medical applications such as diagnostic procedures in hospitals, monitoring purposes, and remote patient monitoring. SNCE800 allows the development of much more efficient and smaller-sized medical (wearable) devices while capturing high-quality data.

Consumer

In the consumer electronics industry, many brands nowadays integrate health sensors in their wearable devices—for example, smartwatches, smart in-ear headphones, or even smart glasses. SNCE800 opens many more of these applications with its low power consumption and input specifications making them an optimal solution for consumer-grade wearable devices that use dry electrodes. This can bring advanced electrophysiological data capture to consumer health tracking sensors.