$GTCH AI-powered qTerm human vital signs device is
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Posted On: 11/30/2020 2:21:59 PM
$GTCH AI-powered qTerm human vital signs device is adding a blood pressure measurement feature, according to a recent press release. In an interview with Investorideas.com, GBT's CTO, Danny Rittman explained that this feature was intended to be included in the first version of the qTerm device but was delayed in an effort to get the device to market sooner to help with the COVID-19 pandemic.
"Originally the qTerm device was planned to be with four features but we wanted to accelerate and have an initial release to the market as soon as possible," Rittman said. "We came to the conclusion that blood oxygen, heart rate and body temperature were definitely going to be major factors to assist in the early signs detection [of the virus]."
Rittman said the blood pressure feature "will be done using advanced technology and sensing systems," and outlined the tech involved in the aforementioned press release:
Using a digital embedded sensor electronic system, and machine-learning algorithms we develop an embedded optical based analysis system to measure blood pressure. This miniature system will be based on photoplethysmography (PPG) method and installed within our qTerm medical device.
"The device itself may get a bit larger but not much, maybe a bit longer or thicker," he said. "We've tried to keep it the same size."
GBT plans to continue expanding the features and AI capabilities of the device on subsequent versions as well. In fact, it was recently announced that the company's joint venture, GBT Tokenize, had begun developing a new radio system for the device.
Rittman also spoke about recent news that the company, along with its joint venture partner Alpha EDA, had commenced the development of IC design productivity enhancement algorithms and methods aimed at accelerating microchips design process. The impetus for such an endeavour is, in part, as a response to foundries - factories that manufacture chips - tending to move toward lower geometries which results in "a bottleneck when it comes to achieving reasonable chips design time."
"That makes the actual design of the chips quite challenging because now designers have to make the chip … complying with these geometrical rules," he said.
Combining Alpha EDA's systems and methods which improve the productivity of IC design process with GBT's ability to "shorten the scope of physical verification checks," will increase chip's power efficiency, performance and silicon yield. The attendant press release estimates that this combination of solutions from both firms "may save between 40%-50% of an IC design cycle, eliminating design rules automatically and during early stages."
"Companies will be able to make chips much faster…great time to market improvement, the chips will be better and more compact and condensed which will cause more yield increase allowing you to put more chip on the same silicon," Rittman said.
"Originally the qTerm device was planned to be with four features but we wanted to accelerate and have an initial release to the market as soon as possible," Rittman said. "We came to the conclusion that blood oxygen, heart rate and body temperature were definitely going to be major factors to assist in the early signs detection [of the virus]."
Rittman said the blood pressure feature "will be done using advanced technology and sensing systems," and outlined the tech involved in the aforementioned press release:
Using a digital embedded sensor electronic system, and machine-learning algorithms we develop an embedded optical based analysis system to measure blood pressure. This miniature system will be based on photoplethysmography (PPG) method and installed within our qTerm medical device.
"The device itself may get a bit larger but not much, maybe a bit longer or thicker," he said. "We've tried to keep it the same size."
GBT plans to continue expanding the features and AI capabilities of the device on subsequent versions as well. In fact, it was recently announced that the company's joint venture, GBT Tokenize, had begun developing a new radio system for the device.
Rittman also spoke about recent news that the company, along with its joint venture partner Alpha EDA, had commenced the development of IC design productivity enhancement algorithms and methods aimed at accelerating microchips design process. The impetus for such an endeavour is, in part, as a response to foundries - factories that manufacture chips - tending to move toward lower geometries which results in "a bottleneck when it comes to achieving reasonable chips design time."
"That makes the actual design of the chips quite challenging because now designers have to make the chip … complying with these geometrical rules," he said.
Combining Alpha EDA's systems and methods which improve the productivity of IC design process with GBT's ability to "shorten the scope of physical verification checks," will increase chip's power efficiency, performance and silicon yield. The attendant press release estimates that this combination of solutions from both firms "may save between 40%-50% of an IC design cycle, eliminating design rules automatically and during early stages."
"Companies will be able to make chips much faster…great time to market improvement, the chips will be better and more compact and condensed which will cause more yield increase allowing you to put more chip on the same silicon," Rittman said.
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