![]() As examples, Harmon cites among other items bobble-head dolls, heroic statuettes of computer-game players’ alter egos from World of Warcraft (at FigurePrints), and design-it-yourself 1950s-style robot figurines at My Robot Nation. If you want digital art that’s more elaborate than what you can think up on your own, there are 3-D-printing services, such as Shapeways and Ponoko, that should delight you. Select an object from their online galleries or send them a design file and some money, and they’ll send you the thing printed in plastic, sintered metal, or glazed ceramic. Kumar and his colleagues sought to explore whether these subtleties in a person’s voice could be detected by machine learning algorithms. In their first study, they recruited 36 people with Parkinson’s disease and 36 healthy volunteers. Importantly, there are natural differences between people’s voices, which could make it difficult to differentiate who does and does not have an underlying disorder. ![]() “To overcome this problem, we looked for non-language sounds that could detect the disease despite the natural differences in voice of people,” explains Kumar. Therefore, his team asked study participants to say different phonemes that require sounds from the throat (/a/), the mouth (/o/) and the nose (/m/). Recordings were made using an iOS-based smartphone. They then developed and applied a machine learning algorithm that could differentiate between people with Parkinson’s disease and the healthy volunteers, despite ambient background noise. “This is very important because the neurologist can evaluate their patients even when the patients are unable to go to the clinic, and hence is suitable for people living in remote regions.” In their study published 12 September in IEEE Access, they report that the algorithm can identify people in the study population who have Parkinson’s disease with 100 percent accuracy.Īn App That Detects Parkinson’s and COVID-19 “More importantly, we can differentiate between PD with active medication and without active medication,” Kumar notes.
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