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Samsung debuts SAMI, Simband health sensor platformsAt an event held in San Francisco, Samsung's Ram Fish showed off a prototype of the company's new modular wristband. Also, Dr. Luc Julia shows off how the SAMI platform could make use of the data collected.
[MUSIC] This is the Simband sensor module. The first open reference sensor module. And this is Simband. A module reference platform. For wearable health sensors. The Simband sensor module incorporates some of the most advanced sensing technologies from Samsung and our partners around the globe. All integrated into an open sensor module. Designed as an open platform, it includes open software, open hardware, and even open mechanical [INAUDIBLE]. Behind this ultrathin, light-weight platform, you can see the [INAUDIBLE], you can see the watch, [INAUDIBLE]. So let's dive a li, a little bit deeper. This is the dashboard, my key health signs are tracked continuously. Today we collect heart rate, heart rate variability, and temperature. Some of our partners are working on SPO2 and CO2. And again. All of those I'll pick continuously. What do we mean by continuously? That's what we mean by continuously. Not just the final 76 heart beat per minute but the little sign used in the calculation. You can see the different PPG wavelengths. Green from two different locations to compensate for location. Red and blue to look at different layers of the wrist. And as Julien mentioned, we have designed a ECG electrode into the clasp. You can see my finger on it. And while I'm touching it, the blood [INAUDIBLE] survival time is calculated and the [INAUDIBLE] for the blood pressure is displayed on the top. [INAUDIBLE] battery, it clips into [INAUDIBLE] magnetically, charging the device while you're wearing it, typically when you're asleep. Smart. Yet simple approach that opens the door to truly continuous health monitoring. 24 hours a day, 7 days a week, no need to ever take it off. I wake up, put it back in the charger. In the end, it's all about data. It's a lot of data that is coming out of the SIM band. A lot, a lot of data. A massive amount of very complex, diverse data. This is why we have created a platform where it's all collected in its original format. A place where smart people can come to study the data in details. To suffer correlation, observe interactions and develop novel useful algorithms. That's Sonny. Essential architecture for working with all interaction. Sami is a data broker that makes it easy to collect any kind of data. It's agnostic. Real time or historical, discrete or continuous from all the devices of your life. Even data coming from devices and sensors we don't know anything about today. So what if we could use this kind of predictive analytics in our everyday life? We asked people like you. To work with Tictrac another creative startup do develop this concept in a simple way. This is what we're seeing now, a general wellness score. Right now, Ran is at 75. That means 75% of his full potential. [APPLAUSE] If you look at [UNKNOWN] past few days, you're that [UNKNOWN] is having a challenging week. [LAUGH] I really wonder why? But Saturday was TB's best day. He was at 97% of his potential. On that day he finally enjoyed dinner with his family. And he got to play with the kids and to spend time with them. That all improved his well-being. Here's a dashboard showing you data from multiple devices, in context, with per item analysis. From this data, you can start to get recommendations to improve his wellness. This suggestion could be a list of physical activities, personal coaching, goal fitting,. This is a small data, which is the key to understanding the voice of the body. [MUSIC]