$GTCH 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.
"We are researching to develop an out-of-the-box monitoring device for patients and elderly that is radio based and AI empowered. It is our goal to particularly serve people that do not like to wear monitoring devices and yet need to be monitored at their home or at a facility. The Apollo device will be using RF signals to transmit in specific frequencies and analyze the reflection data. It is our goal to use a deep learning analysis to determine if the data belong to a human or objects and will calculate heart beating rate, breathing, and movement. It is our goal that a person would not need to wear any electronic device and the system will be able to detect his/her daily activities."
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