Abstract: Embodiments may stimulate nerve activity using transcutaneous nerve stimulation, as well as monitor nerve activity through the skin. Various branches of the nervous system may be accessed at various points on the body. For example, system for monitoring and stimulating human body activity and conditions may comprise at least one transcutaneous nerve stimulation circuitry comprising a circuitry adapted to generate a nerve stimulation signal and at least one electrode or contact adapted to apply the nerve stimulation signal to a nerve of a human through a skin of the human, transcutaneous electrical nerve monitoring circuitry comprising a circuitry adapted to monitor at least one nerve signal received from at least one sensor adapted to obtain the at least one nerve signal from a human through the skin of the human, and control circuitry adapted to control signal generation and signal application of the transcutaneous nerve stimulation circuitry.

Abstract: Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

Abstract: Embodiments of secondary batteries having electrode assemblies are provided. A secondary battery can comprise an electrode assembly having a stacked series of layers, the stacked series of layers having an offset between electrode and counter-electrode layers in a unit cell member of the stacked series. A set of constraints can be provided with a primary constraint system with first and second primary growth constraints separated from each other in a longitudinal direction, and connected by at least one primary connecting member, and a secondary constraint system comprises first and second secondary growth constraints separated in a second direction and connected by members of the stacked series of layers. The primary constraint system may at least partially restrain growth of the electrode assembly in the longitudinal direction, and the secondary constraint system may at least partially restrain growth in the second direction that is orthogonal to the longitudinal direction.

Abstract: Embodiments may provide a general-purpose, relatively inexpensive, AI-driven implant that is able to adapt to and modulate any given region in the brain. For example, in an embodiment, an implant device adapted to be implanted within a body of a person for interacting with brain tissue may comprise a plurality of fibers adapted to receive electrical and optical signals from electrophysiological neural signals of the brain tissue and to transmit electrical and optical signals to provide electrophysiological stimulation of the brain tissue, the fibers electrically and optically coupled to at least one readout integrated circuit.

Abstract: Embodiments of the present systems and methods may provide a fundamentally different approach to process the ‘search key words’ from users. For example, the process may progress through a series of steps that will understand ‘WHY’ a user is looking for the information instead of just ‘WHAT’ the user is searching. This will give the present techniques a very different way to look for the information and generate the search outputs. For example, a method may provide search results to a user of a computing device, the method may comprise receiving at least one search term from the user via the computing device, collecting information relating to the user other than the at least one search term, and providing search results to the user via the computing device based on the search term and on the collected information relating to the user.

Abstract: Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

Abstract: In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. These devices, methods and systems may manifest at several levels and ways relating to brain physiology, including neuronal activity, molecular chirality and frequency oscillations. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, and determining neuron network structures based on the signals received from the read modalities, the action potentials, and the frequency oscillations.

Abstract: Embodiments of the present invention may provide techniques for brain interfacing, mapping neuronal structure, manipulating cellular structure, cognitive and brain augmentation via implants, and curing, not just managing, neurological disorders. For example, a method for deep mind analysis may comprise receiving electrical and optical signals from electrophysiological neural signals of brain tissue from at least one read modality, encoding the received electrical and optical signals using a Fundamental Code Unit, automatically generating at least one machine learning model using the Fundamental Code Unit encoded electrical and optical signals, generating at least one optical or electrical signal to be transmitted to the brain tissue using the generated at least one machine learning model, and transmitting the generated at least one optical or electrical signal to the brain tissue to provide electrophysiological stimulation of the brain tissue using at least one write modality.

Abstract: In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. These devices, methods and systems may manifest at several levels and ways relating to brain physiology, including neuronal activity, molecular chirality and frequency oscillations. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, and determining neuron network structures based on the signals received from the read modalities, the action potentials, and the frequency oscillations.

Abstract: Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

Abstract: This patent provides a system for screening and management of hypertension, which includes the following characteristics: High precision fingertip photoplethysmography (PPG) acquisition device and the application software of hypertension screening and management in a smartphone. The former includes 905 nm wavelength infrared light emitting sensor, photoelectric receiving sensor, and Bluetooth transmission module. The latter includes PPG signal configuration and acquisition module, automatic hypertension classification and screening module and hypertension management module. The system can process the real-time PPG signal and can classify and evaluate the blood pressure level, and carry on the long-term management and the hypertension health instruction.

Abstract: Embodiments may process search input for different users based on classifications of information and based on emotional content of search commands from the users. For example, a method may comprise receiving, at a computer system, speech data from a client device, the speech data representing a voice command from a user, obtaining, at the computer system, a plurality of items of content responsive to the voice command by searching for content, determining, at the computer system, at least one class related to the voice command, classifying, at the computer system, each obtained item of content into at least one class, identifying, at the computer system, at least one item of content classified into at least one class related to the voice command, and transmitting, at the computer system, the at least one identified item of content.

Abstract: For example, a method for detection of pain using electroencephalogram signals may comprise measuring electroencephalogram signals using electrodes attached to a head of a subject and circuitry to convert the electroencephalogram signals to digital data representative of the electroencephalogram signals for processing by a computer to perform bandpass filtering the digital data representative of the electroencephalogram signals to generate digital data representative of frequencies associated with spindles associated with pain, performing a Hilbert transform on the digital data representative of frequencies associated with spindles associated with pain to generate digital data representative of the transformed data, detecting an envelope of the digital data representative of the transformed data to generate envelope data, detecting whether the envelope data exceeds a threshold to generate classification data indicating presence or absence of a spindle associated with pain, and displaying or transmitting the c

Abstract: Embodiments of the present systems and methods may provide automated techniques that may provide enhanced security and safety and reduced costs. For example, in an embodiment, a method implemented in a computer may comprise receiving, at the computer system, data capturing an event, generating, at the computer system, a narrativization of the data characterizing the event captured in the data, detecting, at the computer system, at least one entity involved in the event captured in the data, obtaining, at the computer system, ontology information based on the generated narrativization and the detected at least one entity, determining, at the computer system, an intent of the at least one detected entity involved in the event captured in the data, and performing, at the computer system, an action responsive to the determined intent.

Abstract: Embodiments may provide an intelligent adaptive system that combines input data types, processing history and objectives, research knowledge, and situational context to determine the most appropriate mathematical model, choose the computing infrastructure, and propose the best solution for a given problem. For example, a method implemented in a computer may comprise receiving, at the computer system, data relating to a problem to be solved, generating, at the computer system, a description of the problem, wherein the description conforms to defined format, obtaining, at the computer system, at least one machine learning model relevant to the problem, selecting, at the computer system, computing infrastructure upon which to execute the at least one machine learning model relevant to the problem, and executing, at the computer system, the at least one machine learning model relevant to the problem using the selected computing infrastructure to generate at least one recommendation relevant to the problem.

Abstract: Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

Abstract: Embodiments of the present systems and methods may provide an intelligent systems framework for analysis of user-generated content from various capture points to determine user intent. For example, a method may be implemented in a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method may comprise receiving, at the computer system, data relating to a plurality of aspects of at least one person, including data from at least one of physical or physiological sensors and communicatively connected devices, extracting, at the computer system, from the received data, features relevant to events relating to at least one person, extracting, at the computer system, at least one intent of at least one event relating to at least one person, and performing, at the computer system, an action based on the extracted at least one intent.

Abstract: Embodiments of the present systems and method may provide devices that can be conveniently worn continuously, yet monitor a wide range of physical and physiological parameters. For example, a system for monitoring human body activity may comprise a device mounted in an ear of a human, the device comprising a first portion adapted to be inserted in an ear canal of the human and a second portion adapted to protrude from the ear of the human, the first portion comprising a plurality of protrusions comprising at least one sensor, each sensor adapted to monitor a physical or physiological parameter of the human and output a signal, a data collection device adapted to receive the of signals and to process the signals to form digital data representing the monitored physical or physiological parameters, and a data processing device adapted to process digital data representing the monitored physical or physiological parameters.

Abstract: Embodiments may stimulate nerve activity using transcutaneous nerve stimulation, as well as monitor nerve activity through the skin. Various branches of the nervous system may be accessed at various points on the body.

Abstract: A secondary battery for cycling between a charged and a discharged state, wherein a 2D map of the median vertical position of the first opposing vertical end surface of the electrode active material in the X-Z plane, along the length LE of the electrode active material layer, traces a first vertical end surface plot, EVP1, a 2D map of the median vertical position of the first opposing vertical end surface of the counter-electrode active material layer in the X-Z plane, along the length LC of the counter-electrode active material layer, traces a first vertical end surface plot, CEVP1, wherein for at least 60% of the length Lc of the first counter-electrode active material layer (i) the absolute value of a separation distance, SZ1, between the plots EVP1 and CEVP1 measured in the vertical direction is 1000 ?m?|SZ1|?5 ?m.