Able to detect levels of the UVA and UVB light spectrum, the two-channel ZOPT2202 sensor from IDT, has sensitive photodiodes which, when coupled with the sensor’s patented infrared light suppression, deliver UV levels and also a contextual awareness in health and wellness applications in smartphones and wearable devices.
Wearable
Imec and Cloudtag collaborate on frictionless, next-gen tracker
More lifestyle coaching than mere wearable devices, Cloudtag has launched its Cloudtag Track frictionless, wearable device, developed in collaboration with imec, the nanoelectronics research centre.
The fitness tracker combines fitness and health monitoring with design, it says, for fitness and the care, cure and prevention cycle by providing immediate access to medical data and personalised feedback.
imec developed algorithms for the medical technology company’s wearable sensor devices that enable accurate monitoring of physiological parameters. Cloudtag Track is its first wearable multi-sensor device. It is light and small, yet integrates a proprietary algorithm that retrieves physiological parameters with what the company claims is “an exceptionally high level of accuracy”. The algorithm recognises activity, measures energy expenditure, heart rate and other physiological data.
Power management chip extends battery and shelf life
Designers can optimise power and battery life for wearable medical/fitness and IoT applications, using the MAX14720 PMIC, says Maxim Integrated. It can be used for non-rechargeable battery (coin cell, dual alkaline) applications where size and energy efficiency are critical. An electronic battery seal also extends shelf life by effectively disconnecting the battery prior to initial power-up.
It also reduces bill of materials with the functionality of five discrete devices – power switch, linear regulator, buck regulator, buck-boost regulator, and monitor, says the company.
Heart rate monitoring sensor lowers cost of heart rate measurement
Designed to reduce the cost and complexity of wrist-based heart rate monitoring (HRM) applications, the Si1144 has a low-power optical sensor module, paired with an EFM32 Gecko microcontroller running the company’s HRM algorithm.
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