Embedded Intelligence

5 Technologies Improving Women’s Health & Well-being

Despite women making up 50% of the global population, the women’s health technology industry (affectionately known as FemTech) experiences stigmatization of women’s health conditions and an underrepresentation of uterus-having individuals in studies. FemTech is projected to be worth $1.1 billion dollars in 2024, but that is a small share of a market that has seen …

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5 Innovative Assistive Technologies Making Our World More Accessible

Assistive technology can be broadly defined as any tools, software or materials that are developed for people to overcome challenges that result from variations in physical ability. Something as low tech as your prescription eyeglasses can be considered an assistive device, while higher tech would be a motorized wheelchair or a hearing aid. Perhaps most …

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Improving Dataset Creation for Machine Learning

Written in collaboration with Andreas Putz, Computer Scientist at MistyWest. Introduction Over the past decade, one of the hottest areas of innovation has been to apply machine learning to real-world applications. Google and Amazon are now using machine learning models to transcribe speech to text, interpret language, and analyze images and videos. However, to achieve …

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From Idea to IRB: Proving Out Data-Intensive Medical Devices

Written by Justin Lam, former Westie. Introduction Data in healthcare is becoming increasingly prominent, with many companies focusing on data insights as a primary value driver. With new IoT developments and technologies, physicians can close the gap between in-office observations and a detailed, complete picture of a patient’s health. Examples of data-driven solutions around preventative …

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Closeup of a boxer's hand punching a bag, with illustrated wireless waves

How To Train Your Wearable Device

Introduction Leveraging ML Components to Unlock Powerful Low Power Applications Motion Sensors, or Inertial Measurement Units (IMUs), in wearable connected devices have long been able to internally detect limited human interactions (such as tapping) and in some cases, very specific orientations (such as a wrist tilt) while using low power consumption. Detecting complex motions, like …

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