$GTCH news out! SAN DIEGO, June 03, 2021 (GLOBE NE
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Posted On: 06/04/2021 7:41:31 AM
$GTCH news out! SAN DIEGO, June 03, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. ( OTC PINK: GTCH ) ("GBT” or the “Company”) has commenced research with the goal of developing an AI empowered, wireless patient monitoring system. The project’s internal code name is “Apollo”. The technology will be based on radio waves and empowered by machine learning. Currently health related monitoring devices are typically wearable or invasive types. These devices are self-reporting systems and typically monitoring patient’s vitals, keeping logs, track sleeping habits and similar.
The goal of the Apollo technology will be to develop a device that will be installed at a patient’s home and transmit radio waves within specific frequencies spectrum, measuring returned reflections. It is intended that the body’s waves reflection will be analyzed by an AI algorithm to find unique patterns, detecting heartbeats, breathing rate, sleeping patterns, mobility and even emotions. It is a goal to develop the technology to identify humans and object’s movements through walls and using machine learning methods to determine if it is a human or non-living object.
It is an additional goal to be able to identify a person’s fall or emergency condition and, in turn, alerting emergency response. In addition, it is a goal for the system to be able to supervise home security, identifying intruders, fire or any other out of the ordinary event that may require alerting the emergency authorities. The technology will include radio-based location system, like GPS which enables to point the exact person’s location within a large building, for example within a hospital.
The goal of the Apollo technology will be to develop a device that will be installed at a patient’s home and transmit radio waves within specific frequencies spectrum, measuring returned reflections. It is intended that the body’s waves reflection will be analyzed by an AI algorithm to find unique patterns, detecting heartbeats, breathing rate, sleeping patterns, mobility and even emotions. It is a goal to develop the technology to identify humans and object’s movements through walls and using machine learning methods to determine if it is a human or non-living object.
It is an additional goal to be able to identify a person’s fall or emergency condition and, in turn, alerting emergency response. In addition, it is a goal for the system to be able to supervise home security, identifying intruders, fire or any other out of the ordinary event that may require alerting the emergency authorities. The technology will include radio-based location system, like GPS which enables to point the exact person’s location within a large building, for example within a hospital.
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