Healthcare


Advancements in Biosensors, Tomographic Sensors, LiDAR Sensors, Fiber optic Oxygen Sensors, and CMOS Image Sensors

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Published: 15 Sep 2017

This issue of Sensor TechVision TOE identifies key innovations and advancements in sweat biosensors for applications such as diabetes management, tomographic sensors for industrial process monitoring and control, LiDAR sensors with improved sensing of the surroundings, breath monitoring sensors, and CMOS sensors for automotive security. Sensor TechVision Opportunity Engine (TOE) captures global sensor-related innovations and developments on a weekly basis. Innovations are directed toward developing smart and intelligent sensors with functionalities beyond sensing. Research focus areas include: low power sensors (energy harvesting), industrial automation sensors (M2M, vision sensor), ubiquitous sensor (WSN, sensor fusion), smart sensors (wearables, quantified self), high sensitivity and smaller size (MEMS, nanosensors), and improved security (CBRNE, terahertz). The need for low power, smaller, lighter sensors with enhanced performance attributes and minimal false alarms is driving innovations in the sensors space. The Sensors and Instrumentation cluster covers innovations pertaining to technologies such as wireless sensors and networks, energy harvesting, haptics and touch, MEMS and nanosensors, Terahertz, ubiquitous/smart sensors, CBRNE, quantified-self, sensor fusion, M2M communications, and drones. Keywords: Sweat biosensors, diabetes, tomographic sensors, LiDAR sensors, breath monitoring sensors, CMOS sensors

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