Study Evaluates Sensor Technologies On Popular Smartphones

Researchers at the University of California, San Francisco (UCSF) and Sage Bionetworks announce the launch of “My BP Lab”, a research study that uses surveys and sensor data collected from participants’ phones to quantify and understand their daily stress. The study leverages an optical sensor embedded in the Samsung Galaxy S9 and S9+ smartphone to derive estimates of heart rate and blood pressure. With My BP Lab, participants can track variation in their blood pressure relative to daily experiences over the course of the three-week study.

 

Wendy Berry Mendes, UCSF Professor and Principal Investigator of the My BP Lab study, shares, “My BP Lab" uses sensor data from Samsung Galaxy S9 & S9+ phones to track how stress affects blood pressure changes. This study potentially will provide the largest dataset ever obtained on stress levels, health behaviors, and physiological responses during one’s daily life. By collecting subjective experiences, behaviors like sleep and exercise, and blood pressure levels across a three-week period, we can identify the most important triggers of stress physiology.”

Sponsored by Digi-Key

Industrial Ethernet Solutions from ADI Chronous™ Available Now from Digi-Key

ADI’s Chronous portfolio of edge-to-enterprise Industrial Ethernet connectivity solutions is designed to accelerate your path to Industry 4.0. The compatible and interoperable Industrial connectivity products enable best-in-class performance.

 

My BP Lab is open to participants over the age of 18 living in the United States with a Samsung Galaxy S9 or Galaxy S9+. The research is being conducted under the supervision of Professor Wendy Berry Mendes at UCSF and uses optical sensor technology from Samsung Electronics Co. Ltd. The My BP Lab study app is available at the Google Play Store.

 

For more engaging data, visit Sage Bionetworks and the University of California, San Francisco.

Suggested Articles

Artificial Intelligence can be used to speed up ingestion and processing of data in supercomputers, according to Nvidia

Advances in CMOS sensors are making the technology a key source of data in applications ranging from smart phones to self-driving cars.

Vehicles to ventilators: Scaling from a small number to many thousands of ventilators per week is a challenge, along with finding the right parts