industry news
Subscribe Now

Silicon Labs Biosensors Add ECG Measurement for Advanced Heart Rate Monitoring in Wearables

New Si117x Biometric Sensors Deliver High HRM Accuracy While Minimizing Power Consumption for All-Day Monitoring

AUSTIN, Texas – Nov. 29, 2017 – Silicon Labs (NASDAQ: SLAB) has introduced a family of optical biometric sensors providing advanced heart rate monitoring (HRM) along with electrocardiogram (ECG) capabilities for a wide range of wearable fitness and wellness products. The new Si117x sensor modules ( ) combine ultra-low power, high sensitivity and exceptional integration, making them ideal for smart watches and wrist-based, patch-type and other wearables requiring long battery life and enhanced HRM accuracy. To simplify development and speed time to market, Silicon Labs offers a complete, end-to-end sensing solution featuring the Si117x sensor module, HRM algorithm, Wireless Gecko SoCs ( ) for Bluetooth® connectivity, and an easy-to-use, wrist-based development kit with sample code and example projects.

All-day HRM is a key requirement for health and fitness wearables. By tracking HR throughout the day, end users and health-care providers can analyze physiological patterns, detect health issues before they become problems and consider lifestyle adjustments. Addressing the market need for power efficiency, the Si117x sensors consume less than 50 µA (sensor and LED combined) while performing continuous HRM. A built-in buffer and accelerometer synchronization capabilities save even more system-level power. The sensors’ industry-leading power efficiency enables developers to use smaller batteries in wearable designs without significantly impacting the device’s battery life during continuous monitoring.

The Si117x sensors provide enhanced HRM accuracy for a better end-user experience. The sensors offer fast sampling speeds, a high signal-to-noise ratio (SNR >100 dB), and the ability to cancel out ambient noise and erroneous data, resulting in high-quality signals that make it easier to track heart rates despite challenging physiologies, varying skin tones and the presence of tattoos. A more accurate view of the HR waveform enables biometrics beyond traditional HRM, including heart rate variability (HRV), stress analysis and pulse volume.

By combining ECG measurements with optical HR measurements, the Si117x sensors allow developers to unlock new potential biometrics for wearables. The ECG waveform is the gold standard for cardiac measurements, and the Si117x sensors bring this capability to wrist-based wearables in a cost-effective, power-efficient manner. By making measurements in the same device and at the same time, the Si117x sensors allow developers to combine biometrics with optical photoplethysmogram (PPG) measurements to derive valuable physiological parameters.

The Si117x module’s high level of integration simplifies wearable design and makes it easier to synchronize multiple sensor measurements without adding significant system cost or board area. Each module supports up to four distinct LEDs (all of which can be driven simultaneously), and its four LED drivers are independently programmable (from 1.7 to 310 mA). Additional built-in features include a photodetector, 24-bit ADC with >100 dB dynamic range, I2C and SPI digital interfaces, programmable event interrupt engine, synchronization engine, host communications processor and inputs for two external photodiodes.

“As the market for health and fitness wearables continues to grow, developers want complete biometric sensing solutions that work flawlessly without the complexities of integration,” said Tom Pannell, Senior Marketing Director of IoT products at Silicon Labs. “Silicon Labs is the only supplier to provide a total HRM sensing solution in-house, from the sensor module and algorithm to the wireless SoC capable of transmitting measurements over Bluetooth LE. Our example HRM projects take care of interfacing between these components, and having a single point of contact greatly simplifies customer support and debugging.”

The Si117x sensors support Silicon Labs’ proprietary, motion-compensated HRM algorithm optimized for wrist-based sensing and to run on EFM32 Gecko MCUs ( ) and EFR32 Wireless Gecko SoCs supporting Bluetooth Low Energy (LE). This unparalleled integration enables system-level power and performance optimization and reduces time to market for developers seeking to add HRM capabilities to their wearable designs.

Pricing and Availability
Samples and volume quantities of the Si117x sensors are available in a 3.7 mm x 7 mm 28-pin LGA module. Silicon Labs also offers Si118x optical biometric sensors with an integrated photodiode in a clear 3 mm x 3 mm QFN package. To simplify development and performance evaluation, Silicon Labs provides a variety of wrist-based ECG and PPG development kits, a Bluetooth-enabled HRM evaluation watch, and an Android-based Triple Heart Application that captures data from multiple devices. Contact your local Silicon Labs sales representative for sensor and kit pricing. For additional information and to order sensor samples, visit

Silicon Labs
Silicon Labs (NASDAQ: SLAB) is a leading provider of silicon, software and solutions for a smarter, more connected world. Our award-winning technologies are shaping the future of the Internet of Things, Internet infrastructure, industrial automation, consumer and automotive markets. Our world-class engineering team creates products focused on performance, energy savings, connectivity and simplicity.

Leave a Reply

featured blogs
Mar 16, 2018
MICRO RUGGED CONNECTORS Most designers think the smaller the connector, the more fragile and delicate it is.  We don'€™t usually think of micro pitch connectors as being rugged, as being able to handle high mating cycles, or as having robust mechanical strength on the PCB,...
Mar 16, 2018
If you want to know why I made the trek from California to Shanghai to attend SEMICON China, it is well summed up in the press release that SEMI put out on opening day: SEMICON China 2018 opens today at SNIEC in Shanghai with a record 70,000 visitors expected with 3,600 booth...
Mar 16, 2018
Executive Insight: Wally Rhines Using thermofluid simulation to optimize liquid cooling of avionics power systems Mentor framework pulls devices into the cloud A Simple Way To Improve Automotive In-System Test The IIoT is Fragmented'€”How Will We Fix It? Executive Insigh...
Mar 5, 2018
Next-generation networking solutions are pushing processing out of the cloud and towards the network'€™s edge. At the same time, processing structures architected around programmable logic provide the ability to make computing much more data-centric. Programmable logic make...