Network analysis of a patient's neuro-cardio-respiratory system can be performed to detect an impending crisis, diagnose an abnormality, and/or provide informative feedback about a treatment regime. A system can receive data recorded by one or more recording devices from a patient. The data is time varying and related to two or more organs of the patient's neuro-cardio-respiratory system that are monitored. The system can estimate directional interactions between the two or more organs within the patient's body over time via a mathematical analysis of the data to identify one or more pathologies in a network of the neuro-cardio-respiratory system. When the one or more pathologies are identified, the system can provide the advance warning of the impending crisis, the diagnosis of the abnormality, or the informative feedback for the treatment regime.

A volatile organic compound collector can include a collector material configured to collect volatile organic compounds given off from a patient's skin; a wrapping configured to isolate the collector material from an external environment; a heater comprising a heating element, the heating element configured to emit a thermal pulse to desorb the volatile organic compounds from the collector material; and a mesh layer configured to prevent the collector material from contacting the patient's skin, wherein the collector material is received between the wrapping and the mesh layer.

The present specification describes a method for diagnosing if a patient is suffering from a stroke. The method includes: positioning a headset around the patient's head to passively receive vibrations generated by a cerebral vasculature of the patient's brain, the headset including at least one microphone or accelerometer; processing the received vibrations to obtain a signal; analyzing the signal to identify a pattern indicative of a stroke; and determining that the patient is suffering from a stroke based upon the result of a CT scan of the patient's brain and neck and the identified pattern indicative of a stroke.

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.

Techniques for detecting epileptic triggers in video content by storing a first sequence of frames of a video stream in a first buffer. The technique can further comprise generating a second sequence of subframes and storing the second sequence of subframes in a second buffer. The technique can further comprise generating average intensity values for the second sequence of subframes in the second buffer and calculating intensity changes between consecutive subframes in the second sequence of subframes based on the average intensity values. The technique can further comprise determining that a number of intensity changes between consecutive subframes in the second sequence of subframes exceeds an oscillation threshold and tagging the frames in the first buffer corresponding to the subframes in the second buffer as hazardous.

A method for calming a crying of a baby using a computer system having a memory, a microprocessor, a voice and digital visual display, and a user interface, the method comprising: providing a recording of white noise to a media player or to the computer system, providing a sensor in communication with the microprocessor, wherein the sensor is configured for measuring muscle contractions of a baby, and instructing, in response to a predetermined number of muscle contractions of the baby, the recording of the white noise to be played into headphones on ears of the baby.

One embodiment provides a system controller circuitry for mitigating a neurophysiological disorder. The system controller circuitry includes an optimization module, a feedback control module, and a model update module. The optimization module is configured to predict a sequence of control inputs based, at least in part, on a fractional order model of a neurophysiological system. A duration of the predicted sequence of control inputs corresponds to a prediction horizon. The feedback control module is configured to provide at least a portion of the sequence of control inputs to the neurophysiological system based, at least in part, on a current state of the neurophysiological system. A duration of the at least a portion corresponds to a control horizon. The model update module is configured to update one or more of a model parameter and/or an objective function parameter at an update interval, based, at least in part, on a recent state of the neurophysiological system.

Systems, methods, and other techniques for monitoring, including non-invasive monitoring, of biological markers based on the interaction, temporal association, or coincidence of brain activity and periphery activity in a mammal are provided. Systems and methods for generating a behavioral state-independent representation of cardiac activity and for identifying cardiac events and/or brain-periphery, e.g., brain-cardiac, temporal associations useful as biomarkers of disease such as, e.g., neurologic disease, in a mammal are also provided.

The present invention is directed to a wearable system wherein elements of the system, including various sensors adapted to detect biometric and other data and/or to deliver drugs, are positioned proximal to, on the ear or in the ear canal of a person. In embodiments of the invention, elements of the system are positioned on the ear or in the ear canal for extended periods of time. For example, an element of the system may be positioned on the tympanic membrane of a user and left there overnight, for multiple days, months, or years. Because of the position and longevity of the system elements in the ear canal, the present invention has many advantages over prior wearable biometric and drug delivery devices.

One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.