Abstract:
Embodiments of the present systems and methods may detect cognitive decline using changes in activities of daily living. For example, in an embodiment, a computer-implemented method for determining effects of cognitive loading on a person may comprise receiving data from at least one physical movement sensor attached to a person, the data recorded while the person is repeatedly performing a physical task and while the person is under cognitive loading during at least some of the performances of the task, determining physical movements of the person in response to the cognitive loading from the received data for each of the performances of the task, and determining an effect of cognitive loading based on the physical movements of the person while performing the physical task without cognitive loading and while performing the physical task with cognitive loading.
Abstract:
Embodiments may provide a general-purpose, relatively inexpensive, AI-driven implant that is able to adapt to and modulate any given neuron, circuit, or region in the brain, as well as individual cells of any type of tissue. For example, in an embodiment, a method for interacting with living tissue may comprise attaching a device to a body of a person or animal, the device comprising plurality of carbon fibers in contact with the living tissue, receiving by the carbon fibers signals from the living tissue, processing the received signals by the device, and transmitting the processed signals.
Abstract:
A new computational approach may provide improved detection of disease conditions and comorbidities, such as PTSD, Parkinson's, Alzheimer's, depression, etc. For example, in an embodiment, a computer-implemented method for detecting a disease condition may comprise receiving a plurality of data streams, each data stream representing a measurement of a brain activity comprising physical and chemical phenomena and performing pattern analysis on the plurality of data streams to detect at least one fundamental code unit of a brain code corresponding to a disease condition based on a combination of the plurality of data streams.
Abstract:
A Grid application framework uses semantic languages to describe the tasks and resources used to complete them. A Grid application execution framework comprises a plurality of mobile agents operable to execute one or more tasks described in an intent based task specification language, Input/Output circuitry operable to receive input that describes a task in the task specification language, an analysis engine for generating a solution to the described task, and an intent knowledge base operable to store information contained within tasks of the plurality of mobile agents.
Abstract:
The model treats individual expression in terms of negative or positive reflection of the state of mind on the world, and captures the full range of moods and cognitive states by computationally modeling the notions of ‘mind axiology’ and ‘emotional state’.
Abstract:
Devices, methods and systems for affecting living tissues (brain, spinal stem) by neuronal querying, decoding responses, determining signaling patterns for direct delivery of a range of signals to the neural tissue in order to induce specific cell behaviors through intrusive and non-intrusive methods.
Abstract:
Embodiments may provide a general-purpose, relatively inexpensive, AI-driven implant that is able to adapt to and modulate any given neuron, circuit, or region in the brain, as well as individual cells of any type of tissue. For example, in an embodiment, a method for interacting with living tissue may comprise attaching a device to a body of a person or animal, the device comprising plurality of carbon fibers in contact with the living tissue, receiving by the carbon fibers signals from the living tissue, processing the received signals by the device, and transmitting the processed signals.
Abstract:
Embodiments may provide techniques for operating autonomous systems with improved autonomy so as to operate largely or completely, autonomously. For example, in an embodiment, a self-aware mobile system may comprise a vehicle, vessel, or aircraft comprising a plurality of sensors, comprising at least RADAR and LIDAR, adapted to obtain information about surroundings of the vehicle, vessel, or aircraft, and at least one computer system configured to receive data from the plurality of sensors, perform fusion of the received data to generate artificial vision data representing the surroundings of the vehicle, vessel, or aircraft, and to use the artificial vision data to provide autonomous functioning of the vehicle, vessel, or aircraft.
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:
A system for screening and management of hypertension, which includes a high precision fingertip photoplethysmography (PPG) acquisition device and the application software of hypertension screening and management in a portable device such as a smartphone. The former includes 905 nm wavelength infrared light emitting sensor, photoelectric receiving device, 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.