A wearable device for treating dysmenorrhea in a patient includes a microprocessor, electrical stimulator and at least one electrode configured to deliver electrical stimulation from the external surface of the patient's epidermal layer through a range of 0.1 mm to 10 mm or a range of 0.1 mm to 20 mm of the dermis by applying electrical stimulation to the epidermis of a T9 to T12, L1, L2, L5 and/or S1 to S4 dermatomes of the patient. The device includes a pad, in which the electrode is disposed, for secure placement of the device on a skin surface of the patient. The device is adapted to provide electrical stimulation as per stimulation protocols and to communicate wirelessly with a companion control device configured to monitor and record menstruation-related patterns of the patient. The control device is also configured to monitor, record, and modify stimulation parameters of the stimulation protocols.

A wearable device for treating dysmenorrhea in a patient includes a microprocessor, electrical stimulator and at least one electrode configured to deliver electrical stimulation from the external surface of the patient's epidermal layer through a range of 0.1 mm to 10 mm or a range of 0.1 mm to 20 mm of the dermis by applying electrical stimulation to the epidermis of a T9 to T12, L1, L2, L5 and/or S1 to S4 dermatomes of the patient. The device includes a pad, in which the electrode is disposed, for secure placement of the device on a skin surface of the patient. The device is adapted to provide electrical stimulation as per stimulation protocols and to communicate wirelessly with a companion control device configured to monitor and record menstruation-related patterns of the patient. The control device is also configured to monitor, record, and modify stimulation parameters of the stimulation protocols.

According to an example aspect of the present invention, there is provided an attachment and method for head-fixing rats for experimental purposes. The invention provides a tool for multi-region electrophysiology & precision monitoring of organismal state during complex cognitive tasks. The attachment for a skull of a rat, comprises a frame enclosing an open space inside the frame, at least one tooth on the frame extending from the frame towards the open space. Adhesive may be used as an attaching agent.

Provided is a technique for comprehensively understanding the relationship between brain regions. A brain connectivity analysis system herein includes a memory configured to have stored therein a connectivity analysis program for analyzing the connectivity; and a processor configured to read the connectivity analysis program from the memory and analyze the connectivity. The processor is configured to execute a process of acquiring from a storage unit measured data on a plurality of selected regions of a brain, a process of determining at least two of the plurality of regions as seed regions and calculating a plurality of connectivity features for the seed regions and other regions from the measured data on the plurality of regions, and a process of generating a connectivity feature graph showing a relationship between a transfer delay time and another connectivity feature of each region that are included in the plurality of connectivity features.

Provided is a technique for comprehensively understanding the relationship between brain regions. A brain connectivity analysis system herein includes a memory configured to have stored therein a connectivity analysis program for analyzing the connectivity; and a processor configured to read the connectivity analysis program from the memory and analyze the connectivity. The processor is configured to execute a process of acquiring from a storage unit measured data on a plurality of selected regions of a brain, a process of determining at least two of the plurality of regions as seed regions and calculating a plurality of connectivity features for the seed regions and other regions from the measured data on the plurality of regions, and a process of generating a connectivity feature graph showing a relationship between a transfer delay time and another connectivity feature of each region that are included in the plurality of connectivity features.

Systems and methods for mapping neuronal circuitry in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating a neuronal shape graph, including obtaining functional brain imaging data from an imaging device, where the functional brain imaging data includes a time-series of voxels describing neuronal activation over time in a patient's brain, lowering the dimensionality of the functional brain imaging data to a set of points, where each point represents the brain state at a particular time in the timeseries, binning the points into a plurality of bins, clustering the binned points, and generating a shape graph from the clustered points, where nodes in the shape graph represent a brain state and edges between the nodes represent transitions between brain states.

Various embodiments disclosed herein comprise systems and methods to conform magnetic field sensors to a target geometry. In some examples, an apparatus is configured to conform to a target geometry. The apparatus comprises a sensor mount and a sensor array. The sensor mount comprises a flexible state for a first environmental condition and a rigid state for a second environmental condition. The sensor mount transitions from the flexible state to the rigid state when the first environmental condition transitions to the second environmental condition. The sensor mount transitions from the rigid state to the flexible state when the second environmental condition transitions to the first environmental condition. The sensor array is coupled to the sensor mount.

Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

The present invention belongs to the technical field of processing and analysis of biomedical signals, and provides a calibration method for the critical point of mental fatigue based on self-organized criticality. It constructs a self-organized criticality model by using the dynamic characteristics of a brain network, and deduces the avalanche dynamics of mental fatigue, which is consistent with the internal mechanism of evolution of fatigue complexity. The critical state of calibration is dynamically stable and robust. Through the verification of the behavior data, the reliability of the critical state of mental fatigue determined from physiological and behavioral dimensions is high, providing support for the setting of the fatigue category labels to complete more accurate classification and recognition.

The present invention belongs to the technical field of processing and analysis of biomedical signals, and provides a calibration method for the critical point of mental fatigue based on self-organized criticality. It constructs a self-organized criticality model by using the dynamic characteristics of a brain network, and deduces the avalanche dynamics of mental fatigue, which is consistent with the internal mechanism of evolution of fatigue complexity. The critical state of calibration is dynamically stable and robust. Through the verification of the behavior data, the reliability of the critical state of mental fatigue determined from physiological and behavioral dimensions is high, providing support for the setting of the fatigue category labels to complete more accurate classification and recognition.