Onera Health unveils Onera Biomedical-Lab-on-Chip with over a dozen sensor inputs

Onera Biomedical-Lab-on-Chip

Onera Health, a Dutch-American MedTech company has just introduced the Onera Biomedical-Lab-on-Chip, an ultra-low-power biosignal sensor hub for wearable health, following their earlier work on sleep diagnostic solutions.

The Arm Cortex-M4F based Onera ONE010 chip embeds a multi-channel sensor readout system with integrated data processing, power management, and interfacing features. It features biomedical inputs with 10 readouts for ExG, covering EEG, ECG, EMG, and EOG, 2 bioimpedance readouts, and 2 readouts for photoplethysmography, as well as digital filters and accelerators to process the data from the sensors.

The microcontroller is also equipped with several standard wired interfaces such as UART, SPI, I2C, and I2S, operates from a single power source between 0.8V and 3.6V, and the company says a large amount of SRAM and embedded FLASH is available.

Onera ONE010 block diagram

I’ve managed to obtain a more readable block diagram and that means 320KB of SRAM and 768KB of flash. We can also see the accelerators include a matrix processor, a sampling block, a data compactor, a data synchronization engine, FIFO and DMA engines.

Onera Biomedical-Lab-on-Chip will be found in wearable health applications and devices in the medical, wellness, and fitness space. That’s about all the information we have at this time, and more details may surface on the company’s website in the future. Onera Health will also showcase its solutions at CES 2022 on January 5-8 in Las Vegas, booth 8570 in the LVCC – North Hall.

Thanks to TLS for the tip.

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guelermus
guelermus
11 months ago

I remembered that we were developing an A4-sized EEG board based on an TI TMS320C5x DSP in the university, and the analog signal quality was a real challenge.

I don’t know how much external analog instrumentation frontend required here, but still it is definitely a rich bundle. An NPU to help running a CNNs or RNNs faster would be also a real asset. Maybe the matrix processor or the biomedical lab-on-chip units are helping there. If not, a future ARM Ethos-based variant would fulfill this successfully.

Good job!

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