Abstract: The disclosure relates to an automatic brain-probe guidance systems. Specifically, the disclosure is directed to a real-time method and system for guiding a probe to the dorsolateral oscillatory region of the subthalamic nucleus in the brain of a subject in need thereof using factored Partially Observable Markov Decision Process (POMDP) via Hidden Markov Model (HMM) represented as a dynamic Bayesian Network (DBN).

Abstract: Provided is directed to a device for medical examination in a subject. The device is configured for easy self-examination of a variety of physiological parameters indicative of disease or physiological irregularities. Examples of such physiological parameters include body temperature indicative of fever, ear pathologies indicative of ear infection, heartbeat, blood oxygen level. While the device of this disclosure may be a stand-alone device, it may be configured, according to embodiments of this disclosure, for association and operation with a mobile communication device, in particular a smartphone.

Abstract: A method of analyzing performance of a brain stimulation tool is disclosed. The method comprises: obtaining encephalography data collected from a brain of a subject electrically stimulated by at least one of the electrode contacts of the brain stimulation tool; segmenting the data into a plurality of epochs, each corresponding to a single stimulation event generated by the brain stimulation tool; and applying a spatiotemporal analysis to the epochs so as to determine at least one of (i) location of the at least one electrode contact in the brain, and (ii) therapeutic effect of the at least one electrode contact.

Abstract: A system for differential recording connectable to an electrical lead with at least two electrodes, including: the lead having a distal end; at least one amplifier electrically connectable to the at least two electrodes, wherein the at least one amplifier subtracts a signal recorded by one of the at least two electrodes, from a signal recorded by the other one of the at least two electrodes to generate a differential signal; a memory configured for storing said differential signal and reference indications of electrical signals associated with neural tissue; a processing circuitry for detection of an anatomical position, wherein the processing circuitry calculates an anatomical position of the electrical lead based on processing of the differential signal and the reference indications of electrical signals associated with the neural tissue.

Abstract: The disclosure relates to a surgical cranial drape, probe for mapping brain of a subject and their methods of use. Specifically, the disclosure relates to a sterile surgical cranial drape embedded with electrodes; an system for mapping physiologically functional brain regions using evoked electrophysiological responses in a first and a second region; and their methods of use in combination or separately.

Abstract: The disclosure relates to a surgical cranial drape, probe for mapping brain of a subject and their methods of use. Specifically, the disclosure relates to a sterile surgical cranial drape embedded with electrodes; an system for mapping physiologically functional brain regions using evoked electrophysiological responses in a first and a second region; and their methods of use in combination or separately.

Abstract: A brain navigation device, comprising: a lead with an elongated lead body; at least one macro-electrode contact positioned on an outer surface on the lead; wherein the at least one macro-electrode contact is located at the distal part of said lead; and wherein the at least one macro-electrode contact is configured to be used during lead navigation.

Abstract: The disclosure relates to an automatic brain-probe guidance systems. Specifically, the disclosure is directed to a real-time method and system for guiding a probe to the dorsolateral oscillatory region of the subthalamic nucleus in the brain of a subject in need thereof using factored Partially Observable Markov Decision Process (POMDP) via Hidden Markov Model (HMM) represented as a dynamic Bayesian Network (DBN).

Abstract: The disclosure relates to a surgical cranial drape, probe for mapping brain of a subject and their methods of use. Specifically, the disclosure relates to a sterile surgical cranial drape embedded with electrodes; an system for mapping physiologically functional brain regions using evoked electrophysiological responses in a first and a second region; and their methods of use in combination or separately.

Abstract: A real-time method and system to accurately demarcate sub-territories of the subthalamic nucleus area in the brain during surgery, based on microelectrode recordings and a Hidden Markov Model. Root mean square and power spectral density of the microelectrode recordings are used to train and test Hidden Markov Model in identifying the dorsolateral oscillatory region and non-oscillatory sub-territories within the subthalamic nucleus. After the dorsolateral oscillatory region in the subthalamic nucleus is mapped, the microelectrodes are removed, and a macroelectrode is inserted in the mapped dorsolateral oscillatory region for producing deep brain simulation for treatment of Parkinson's disease.

Abstract: A real-time method and system to accurately demarcate sub-territories of the subthalamic nucleus area in the brain during surgery, based on microelectrode recordings and a Hidden Markov Model. Root mean square and power spectral density of the microelectrode recordings are used to train and test Hidden Markov Model in identifying the dorsolateral oscillatory region and non-oscillatory sub-territories within the subthalamic nucleus. After the dorsolateral oscillatory region in the subthalamic nucleus is mapped, the microelectrodes are removed, and a macroelectrode is inserted in the mapped dorsolateral oscillatory region for producing deep brain simulation for treatment of Parkinson's disease.