A sleeping mask includes a signal processor for processing sensor data, an infrared light source coupled to the signal processor and configured to emit infrared light toward an eyelid of a user, and an array of infrared sensors coupled to the signal processor and configured to receive infrared light reflected from the eyelid of the user.

A sleeping mask includes a signal processor for processing sensor data, an infrared light source coupled to the signal processor and configured to emit infrared light toward an eyelid of a user, and an array of infrared sensors coupled to the signal processor and configured to receive infrared light reflected from the eyelid of the user.

A system for treating a patient comprises a stimulator for stimulating brain tissue, a controller for setting stimulation parameters and a diagnostic tool for measuring patient parameters and producing diagnostic data. The stimulation parameters comprise test stimulation parameters and treatment stimulation parameters. The stimulator delivers test stimulation energy to the brain tissue based on at least one test stimulation parameter and delivers treatment stimulation energy to the brain tissue based on at least one treatment stimulation parameter. One or more treatment stimulator parameters are determined based on the diagnostic data produced by the diagnostic tool The system is constructed and arranged to treat a neurological disease or a neurological disorder. Methods of treating a neurological disease or neurological disorder are also provided.

Described is a system including a sensor and a processing arrangement. The sensor measures data corresponding to a patient's breathing patterns. The processing arrangement analyzes the breathing patterns to determine whether the breathing patterns are indicative of a REM sleep state. In another embodiment, the processing arrangement analyzes the breathing patterns to determine whether the breathing patterns are indicative of one of the following states: (i) a wake state and (ii) a sleep state. In another embodiment, a neural network analyzes the data to determine whether the breathing patterns are indicative of one of the following states: (i) a REM sleep state, (ii) a wake state and (iii) a sleep state. In another embodiment, the processing arrangement analyzes the data to determine whether the breathing pattern is indicative of an arousal.

A method for providing electrical stimulation to a user, the method comprising: providing an electrical stimulation device, in communication with a controller, at a head region of the user; with the electrical stimulation device, providing a stimulation treatment having a waveform configured for neuromodulation in the user; with the controller, performing an adjustment to the stimulation treatment, wherein performing the adjustment includes: generating a transformed waveform with application of a transfer function to the waveform, wherein the transfer function scales the waveform and selectively attenuates extreme waveform values while maintaining a frequency characteristic of the waveform in the transformed waveform; and applying the transformed waveform with the electrical stimulation device, thereby modulating the stimulation treatment.

A method and device for monitoring fatigued driving. The device comprises a processor, a monitoring unit an alarm unit and an inflating unit connected to the processor. The processor is used to obtain a monitor result, transmit, according to the monitor result, an alarm instruction to the alarm unit, and transmit an air inflation instruction to inflating unit upon obtaining the monitor result again after transmitting the alarm instruction. The monitor unit is used to monitor, in real time, a driving state of the driver, and transmit data indicating the driving state of the driver; the alarm unit (12) is used to receive the alarm instruction, and provide the alarm according to the alarm instruction; and the inflating unit is used to receive the air inflation instruction, and fill air according to the air inflation instruction.

A sensor-based system that measures at least one parameter relating to an individual and provides feedback to the individual when any of the measured parameters exceed a threshold value for that parameter. In some instances, the system can be used to monitor an individual recovering from a condition, for example, mild Traumatic Brain Injury. The system can include a wearable sensor that measures parameters, which may relate to the individual's movement, physiological function, and/or environment. The system can include a controller that receives the parameter measurements and determines whether such measurements are acceptable by comparison to a threshold value. The system can also include a feedback device that alerts the individual when a measured parameter is unacceptable, for example, with a visual, audible, and/or haptic cue, as well as the capability to receive input from the user when an otherwise acceptable parameter level is causing discomfort.

Disclosed is a biosignal acquisition device for the acquisition, in particular the concurrent or simultaneous acquisition, of optical and electrical biosignals. The optical and electrical biosignals are both received by an analog front end device for biosignals, with an opto-electric converter for converting the optical biosignals into electrical signals. Also disclosed are a system of a plurality of biosignal acquisition devices and a biosignal acquisition method.

Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patient is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding of the patient or implementing assessment, prediction, or estimation of a probability of bleeding of the patient following injury, in some instances, in real-time before, during, and after fluid resuscitation. According to some embodiments, one or more sensors might monitor physiological data of the patient before, during, and after resuscitation following injury. A computer system might receive and analyze the physiological data, and might estimate a probability that the patient is bleeding, based at least in part on the analyzed physiological data. An indication of at least one of an assessment, prediction, or estimate of a probability that the patient is bleeding may then be displayed on a display device.

A system and a process are provided for evaluating subliminal pixel patterns and identifying trigger patterns, which are pixel patterns that trigger a response in subjects exposed to the pattern. Each pixel pattern is embedded in a digital video or a digital still image. Pixel patterns that are found to induce reactions in subjects are identified as trigger patterns and are flagged for re-testing. Re-tested trigger patterns that repeatably induce reactions are identified as positive trigger patterns and are studied further. Variations are made to a positive trigger pattern to determine whether small changes can affect how a subject responds when exposed to that positive trigger pattern. A positive trigger pattern is evaluated to determine whether it can induce an emotional, a physical, and/or a behavioral change in the subjects and, if so, the positive trigger pattern is applied to a real-world situation.