Patents by Inventor Dylan MUIR

Dylan MUIR has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Event-driven spiking neutral network system for detection of physiological conditions
    Patent number: 12665078
    Abstract: The invention relates to an event-driven spiking neural network system (100) and a method for detecting a physiological condition of a person based on a detected physiological signal of the person, the system comprising at least the following components: At least one sensor (111-1) configured and arranged to detect a physiological signal and to convert the physiological signal in a sensor signal (112) indicative of the physiological signal, A signal conversion module (120) configured and arranged to receive the sensor signal (112) from the at least one sensor (111-1) and to convert the sensor signal (112) in at least one time series of discrete events, An artificial neuron population (140) comprising a plurality of artificial event-driven spiking neurons (131-1, 131-N) arranged in an event-driven spiking neural network, wherein the neuron population (140) is configured and arranged to receive events, wherein the neuron population (140) is arranged to recognize the physiological condition of the person base
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: June 23, 2026
    Inventors: Felix Bauer, Dylan Muir
  • AN EVENT-DRIVEN SPIKING NEUTRAL NETWORK SYSTEM FOR DETECTION OF PHYSIOLOGICAL CONDITIONS
    Publication number: 20220270751
    Abstract: The invention relates to an event-driven spiking neural network system (100) and a method for detecting a physiological condition of a person based on a detected physiological signal of the person, the system comprising at least the following components: At least one sensor (111-1) configured and arranged to detect a physiological signal and to convert the physiological signal in a sensor signal (112) indicative of the physiological signal, A signal conversion module (120) configured and arranged to receive the sensor signal (112) from the at least one sensor (111-1) and to convert the sensor signal (112) in at least one time series of discrete events, An artificial neuron population (140) comprising a plurality of artificial event-driven spiking neurons (131-1, 131-N) arranged in an event-driven spiking neural network, wherein the neuron population (140) is configured and arranged to receive events, wherein the neuron population (140) is arranged to recognize the physiological condition of the person based o
    Type: Application
    Filed: June 24, 2020
    Publication date: August 25, 2022
    Applicant: CHENGDU SYNSENSE TECHNOLOGY CO., LTD.
    Inventors: Felix BAUER, Dylan MUIR