Abstract: A tool for facilitating medical diagnosis is disclosed herein, including an ultrasound device configured to collect ultrasound data from a patient, a display device, and a processing circuit configured to generate a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data, determine morphology indicators identifying attributes of the CBFV waveform, and configure the display device to display the CBFV waveform and the morphology indicators.

Abstract: Example implementations can include a method of calibrating orientation of a cerebral sensor and generating feedback from an injector for a cerebral sensor, by scanning an anatomical structure, by a cerebral sensor, proximate to the scan position and satisfying a first threshold, obtaining at least one cranial signal from the cerebral sensor in accordance with a first pathway over the anatomical structure, obtaining from the cranial signal a point corresponding to the anatomical structure, storing the obtained point to a point cache operable to store one or more points, in response to a determination that the point satisfies a second threshold, modifying the first pathway for actuating the cerebral sensor, in response to the determination that the obtained point satisfies the second threshold, selecting an optimized point from the point stack, and actuating the cerebral sensor continuously based on the optimized point.

Abstract: According to various embodiments, there is provided a device including a processor configured to control a robotic system to autonomously position a transducer at a plurality of locations adjacent a subject's skull and to autonomously locate a window on the subject's skull within which an artery can be located, from which artery a signal can be returned to the transducer, the signal having an energy level exceeding a predefined threshold.

Abstract: According to various embodiments, there is provided a method for determining a neurological condition of a subject using a robotic system. The robotic system includes a transducer. The method includes determining, by a computing system, a first location with respect to a vessel of the subject, the robotic system configured to position the transducer at the first location. The method further includes receiving, by the computing system, a first signal from the vessel in response to the transducer transmitting acoustic energy towards the vessel. The method further includes analyzing, by the computing system, the received first signal to determine a first parameter of blood flow in the vessel. The method further includes determining, by the computing system, the neurological condition of the subject based on the first parameter of the blood flow in the vessel.

Abstract: According to various embodiments, there is provided a headset mountable on a head, the headset including a probe for emitting energy into the head. The headset further includes a support structure coupled to the probe. The support structure includes translation actuators for translating the probe along two axes generally parallel to a surface of the head.

Abstract: According to various embodiments, there is provided a method for determining a neurological condition of a subject using a robotic system. The robotic system includes a transducer. The method includes determining, by a computing system, a first location with respect to a vessel of the subject, the robotic system configured to position the transducer at the first location. The method further includes receiving, by the computing system, a first signal from the vessel in response to the transducer transmitting acoustic energy towards the vessel. The method further includes analyzing, by the computing system, the received first signal to determine a first parameter of blood flow in the vessel. The method further includes determining, by the computing system, the neurological condition of the subject based on the first parameter of the blood flow in the vessel.

Abstract: A system includes a processing circuit configured to receive signals corresponding ultrasound data, extract a blood flow waveform from the signals, the blood flow waveform corresponds to a single pulse of the signals, determine a curvature characteristic of the blood flow waveform based on a plurality of local curvature parameters, and identify a medical condition for the blood flow waveform using the blood flow waveform. Each of the plurality of local curvature parameters indicates a degree to which the blood flow waveform deviates from a straight line at a location on the blood flow waveform.

Abstract: A tool for facilitating medical diagnosis is disclosed herein, including an ultrasound device configured to collect ultrasound data from a patient, a display device, and a processing circuit configured to generate a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data, determine morphology indicators identifying attributes of the CBFV waveform, and configure the display device to display the CBFV waveform and the morphology indicators.

Abstract: According to various embodiments, there is provided a device including a processor configured to control a robotic system to autonomously position a transducer at a plurality of locations adjacent a subject's skull and to autonomously locate a window on the subject's skull within which an artery can be located, from which artery a signal can be returned to the transducer, the signal having an energy level exceeding a predefined threshold.

Abstract: A tool for facilitating medical diagnosis is disclosed herein, including an ultrasound device configured to collect ultrasound data from a patient, a display device, and a processing circuit configured to generate a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data, determine morphology indicators identifying attributes of the CBFV waveform, and configure the display device to display the CBFV waveform and the morphology indicators.

Abstract: A tool for facilitating medical diagnosis is disclosed herein, including an ultrasound device configured to collect ultrasound data from a patient, a display device, and a processing circuit configured to generate a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data, determine morphology indicators identifying attributes of the CBFV waveform, and configure the display device to display the CBFV waveform and the morphology indicators.

Abstract: A tool for facilitating medical diagnosis is disclosed herein, including an ultrasound device configured to collect ultrasound data from a patient, a display device, and a processing circuit configured to generate a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data, determine morphology indicators identifying attributes of the CBFV waveform, and configure the display device to display the CBFV waveform and the morphology indicators.

Abstract: According to various embodiments, there is provided a device including a processor configured to control a robotic system to autonomously position a transducer at a plurality of locations adjacent a subject's skull and to autonomously locate a window on the subject's skull within which an artery can be located, from which artery a signal can be returned to the transducer, the signal having an energy level exceeding a predefined threshold.

Abstract: According to various embodiments, there is provided a device including a processor configured to control a robotic system to autonomously position a transducer at a plurality of locations adjacent a subject's skull and to autonomously locate a window on the subject's skull within which an artery can be located, from which artery a signal can be returned to the transducer, the signal having an energy level exceeding a predefined threshold.

Abstract: A headset for placing on a head of a subject includes a device and a cover over the device. At least a portion of the cover is made from a see-through material such that a portion of the head of the subject is viewable through the cover.

Abstract: According to various embodiments, there is provided a method for determining a neurological condition of a subject using a robotic system. The robotic system includes a transducer. The method includes determining, by a computing system, a first location with respect to a vessel of the subject, the robotic system configured to position the transducer at the first location. The method further includes receiving, by the computing system, a first signal from the vessel in response to the transducer transmitting acoustic energy towards the vessel. The method further includes analyzing, by the computing system, the received first signal to determine a first parameter of blood flow in the vessel. The method further includes determining, by the computing system, the neurological condition of the subject based on the first parameter of the blood flow in the vessel.

Abstract: According to various embodiments, there is provided a device including a processor configured to control a robotic system to autonomously position a transducer at a plurality of locations adjacent a subject's skull and to autonomously locate a window on the subject's skull within which an artery can be located, from which artery a signal can be returned to the transducer, the signal having an energy level exceeding a predefined threshold.

Abstract: According to various embodiments, there is provided a headset mountable on a head, the headset including a probe for emitting energy into the head. The headset further includes a support structure coupled to the probe. The support structure includes translation actuators for translating the probe along axes about a surface of the head.

Abstract: According to various embodiments, there is provided a headset mountable on a head, the headset including a probe for emitting energy into the head. The headset further includes a support structure coupled to the probe. The support structure includes translation actuators for translating the probe along two axes generally parallel to a surface of the head.

Abstract: A neural network portion comprising N pre-synaptic neurons capable each of firing an action potential, wherein the number N can be encoded in a word of n bits; the neural network portion being provided for, upon firing of a number F of pre-synaptic neurons in a predetermined period of time: if F.n<N, generating a first type message, the message comprising a unique address for each pre-synaptic neuron having fired in said predetermined period of time, each address being encoded as a word of n bits; and if F.n>N, generating a second type message, the message comprising N bits and being encoded in words of n bits, wherein each one of said N pre-synaptic neurons is represented by a unique bit, each bit having a first value if the pre-synaptic neuron represented by the bit fired in said predetermined period of time, and a second value otherwise.