Described herein is a smart bed system, which includes a number of different elements that operate together or may operate independently in connection with an existing conventional bed frame and/or mattress. Bed system includes an inclinable bed apparatus, which is configured to be situated on an existing bed frame or mattress and provide selective inclining/reclining of a patient or user. A sensor mat system is adapted to be situated on mattress. Sensor mat system includes a plurality of different layers to sense the position and movement of a patient. An inflatable bladder system includes a plurality of inflatable cells for selectively adjusting the position or pressure experienced by a patient using bed system. A support rail system supports a user in a bed. A microcontroller performs various control and data processing operations associated with system. User input for various controls of system may be provided from a remote control, which is in data communication with microcontroller.

Blepharometric data (data describing eyelid position as a function of time) is recorded and processed for the purposes of predicting a future risk and/or current occurrence of neurological events such as seizures. For example, in one embodiment blepharometric data is recorded via infrared reflectance oculography spectacles, and processed in real time thereby to extract a set of blepharometric artifacts. Where those artifacts indicate prolonged spiking in blink calmness (for example based on spiking in negative inter-event duration, or negative IED), an alert is able to be generated thereby to indicate that the subject is at risk of a seizure in a proximal time period. This provides an opportunity to implement mitigation measures, for example to reduce the likelihood of the seizure manifesting, and/or to mitigate harm should the seizure occur.

A system for verifying a candidate pathologic episode of a patient is provided. The system includes an accelerometer configured to be implanted in the patient, the accelerometer configured to obtain accelerometer data along at least one axis. The system also includes a memory configured to store program instructions and one or more processors. When executing the program instructions, the one or more processors are configured to obtain a biological signal and identify a candidate pathologic episode based on the biological signal, analyze the accelerometer data to identify a physical action experienced by the patient, and verify the candidate pathologic episode based on the physical action.

A system of seizure detection including one or more processing circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient and determine a plurality of metrics based on the EEG signal, the plurality of metrics indicating non-linear features of the EEG signal. The one or more processing circuit are configured to perform a preliminary analysis with one of the plurality of metrics, wherein the preliminary analysis indicates that the EEG signal indicates a candidate seizure or that the EEG signal is insignificant, perform a secondary analysis with one or more metrics of the plurality of metrics to determine whether the EEG signal indicates the candidate seizure or that the EEG signal is insignificant, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure.

A frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in at least two different frequency bands, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body. Alternately, a frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in a high-definition frequency band comprising frequencies greater than 70 Hz, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body

Therapy systems with quantified biomarker targeting, including for epilepsy treatment, and associated systems and methods, are disclosed. A representative computer-based method for establishing epilepsy treatment parameters for a patient includes receiving multiple indications of interictal EEG biomarkers over a period of time and processing the multiple indications to produce a processed biomarker. The processed biomarker is then used to identify at least one target location at the patient's brain to receive an electrical therapy signal to reduce or eliminate epileptic activity in the patient, and at least one additional signal delivery parameter in accordance with which the electrical therapy signal is to be delivered.

This disclosure relates to an epileptic seizure predicting device (1) that executes a seizure predicting process (12). The seizure predicting process (12) includes: a process of providing, as input data, electrocardiographic index data generated from an electrocardiographic signal of a subject, to an autoencoder (AE) that has been provided with and has learned with, as learning input data, learning electrocardiographic index data generated from an electrocardiographic signal of an epilepsy patient, and obtaining output data which is reconstruction data of the input data; a process of calculating an error between the input data and the output data of the subject; and a detection process of detecting a sign of an epileptic seizure of the subject on the basis of whether or not the error exceeds a management limit that the error should not exceed in a case of a seizure-free interval of epilepsy.

An information processing device, an information processing method, and a recording medium storing an information processing program. The information processing device and the information processing method include obtaining measurement data, accepting a specification of time in the measurement data as a specified time, reducing noise from the measurement data using each one of a plurality of methods, evaluating a result of noise reduction at the specified time, the noise reduction being performed using each one of the plurality of methods, and selecting one of the plurality of methods based on the evaluated result of noise reduction. The recording medium storing the information processing program for causing a computer to execute the information processing method.

A system and method for analyzing and logging changes in brain state of a subject for administering therapy to the subject based on the at least one cardiac signal wherein the system and method comprises the steps of receiving at least one cardiac signal of the subject into a processor, analyzing the cardiac signal to detect at least one cardiac signal change indicative of a brain state change, and logging at least one characteristic of the detected signal change or the brain state change.

Systems and methods for use in monitoring one or more physiological parameters of a user. The system comprises: at least one sensing unit comprising at least one vibration sensor; and at least one elastic tube configured to be embedded within a cushioning layer for supporting at least a portion of the user. One end of the at least one tube is sealed and the other end of the at least one tube is closed by the at least one sensing unit so as to form a volume that is filled with fluid and that is defined by one or more inner walls of the tube and a surface of the at least one sensing unit. The at least one elastic tube is configured to transmit vibrations from one or more sections of the at least one tube to the at least one sensing unit for detection by the at least one vibration sensor.