A portable polysomnography apparatus comprises a unitary flexible structured pillow that is embedded with accelerometers for data collection. The polysomnography apparatus is advantageously sized and shaped to cause the sleeping subject to properly orient the embedded accelerometers for optimal data collection while the subject is asleep. A portable polysomnography system comprises a structured pillow with embedded sensors that are in wireless communication with a companion data collection device that records data from the embedded sensors. In an alternative embodiment, a system may include a structured pillow with an internal pocket into which a single device including embedded sensors and data recording capabilities is inserted.

The present disclosure pertains to a system configured to detect slow wave sleep and/or non-slow wave sleep in a subject during a sleep session based on a predicted onset time of slow wave sleep and/or a predicted end time of slow wave sleep that is determined based on changes in cardiorespiratory parameters of the subject. Cardiorespiratory parameters in a subject typically begin to change before transitions between non-slow wave sleep and slow wave sleep. Predicting this time delay between the changes in the cardiorespiratory parameters and the onset and/or end of slow wave sleep facilitates better (e.g., more sensitive and/or more accurate) determination of slow wave sleep and/or non-slow wave sleep.

The present disclosure includes an electromagnetic field detection and monitoring system. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions.

Aspects are generally directed to a compact and low-noise electric field detector, methods of operation, and methods of production thereof. In one example, an electric field detector includes a proof mass, a source of concentrated charge coupled to the proof mass, and a substrate having a substrate offset space defined therein, the proof mass being suspended above the substrate offset space. The electric field detector further includes a sense electrode disposed on the substrate within the substrate offset space and proximate the proof mass, the sense electrode being configured to measure a change in capacitance relative to the proof mass from movement of the proof mass in response to a received electric field at the source of concentrated charge. The electric field detector includes a control circuit coupled to the sense electrode and configured to determine a characteristic of the electric field based on the measured change in capacitance.

A sensor patch includes a housing configured to support a sensor, the housing including a surface configured to be disposed adjacent to skin of a subject, the surface including a pattern of microstructures defining protrusions and recesses, wherein the protrusions facilitate attachment of the housing to the skin of the subject.

Various methods and systems are provided for cerebral diagnosis. In one example, among others, a method includes obtaining EEG signals from sensors positioned on a subject; conditioning data from the EEG signals to remove artifacts; generating a cerebral network model based at least in part upon the conditioned data; determining network features based upon the cerebral network model; and determining a cerebral condition of the subject based at least in part upon the network features. In another example, a method includes determining a recording condition of a positioned EEG sensor and providing an indication of an unacceptable recording condition of the EEG sensor. In another example, a system includes an EEG recording module to acquire signals; a signal conditioning module to condition signal data; a signal analysis module to determine signal features and cerebral network features; and a condition classification module to determine a cerebral condition of the subject.

An apparatus is described which comprises the following: (a) a housing configured to be carried in an ear, (b) a motion sensor unit for acquiring motion data, (c) a physiological sensor unit for acquiring physiological data, (d) a data processing unit configured to generate performance data based on the motion data and/or the physiological data, (e) a signal processing unit configured to generate an audio signal based on the generated performance data, and (f) a loudspeaker for outputting the generated audio signal, wherein the motion sensor unit, the physiological sensor unit, the loudspeaker, the data processing unit, and the signal processing unit are incorporated in the housing. Furthermore, a system, a method and a use is described.

Systems and methods for sonifying electrical signals obtained from a living subject, particularly EEG signals, are disclosed. A time-domain signal representing the activity of an organ is obtained. A voltage of the time-domain signal over a time block is determined. An acoustic signal based on the time-domain signal over the time block is produced. The acoustic signal comprises one or more audibly discernible variations representative of the activity of the organ. If the determined voltage is over a threshold voltage, the time-domain signal is squelched over at least a portion of the time-block as the acoustic signal is produced. The time-domain signal can be squelched by ramping down the signal as an input to produce the acoustic signal. The frequency spectrum of the acoustic signal can also be adjusted as it is produced, such as by flattening the signal and/or attenuating high frequencies along the frequency spectrum of the signal.

A computer system or method may be provided for modulating content based on a person's brainwave data, including modifying presentation of digital content at at least one computing device. The content may also be modulated based on a set of rules maintained by or accessible to the computer system. The content may also be modulated based on user input, including through receipt of a presentation control command that may be processed by the computer system of the present invention to modify presentation of content. Content may also be shared with associated brain state information.

Disclosed is a method for interacting with the nervous system. The method includes detecting signals associated with a biological function at one or more sensors. It also includes processing the signals to create a representation thereof, delivering effector responses based on the representations, and controlling a physical process.