Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

Disclosed is a method for classifying signals for movement control of an autonomous vehicle. The method includes receiving first data comprising concurrently recorded electroencephalogram (EEG) and electromyogram (EMG) signals from a user. The data is used to train a classification model based on the recorded signals. The method further involves receiving second data comprising further EEG and EMG signals recorded from the user, comparing the second data to the classification model to determine a user movement represented by the second data, and determining a control signal for controlling the autonomous vehicle, based on the user movement. This may be used in a further method for identifying an event.

In a system for measuring biopotential signals generated by the physiological activity of a subject, it is necessary to monitor the measured biopotentials against a reliable reference. An apparatus and method of deriving a reference suitable for use in referencing and grounding of the subject are described.

In a system for measuring biopotential signals generated by the physiological activity of a subject, it is necessary to monitor the measured biopotentials against a reliable reference. An apparatus and method of deriving a reference suitable for use in referencing and grounding of the subject are described.

Apparatus and systems that improve or enhance a user's visual experience are provided. The apparatus or system includes an intraocular implant which incorporates a processor, a sensor, and an effector. The apparatus or system is responsive to commands provided by a user, for example spoken commands, gestures, and imagery. All or part of the apparatus or system can be located within the user's eye. Some embodiments include a display, which can provide an enhanced image and/or information related to the apparatus or system.

A system includes an EEG headset, comprising EEG electrodes and InfraRed (IR) transmitters, to be worn by a subject. A recording unit is communicably coupled to the EEG headset and comprises a computing device for receiving EEG feed from the EEG headset, IR coordinates corresponding to the IR transmitters from an IR sensor, and a video recording of the subject from a video camera. The computing device is to identify a position of the subject based on the IR coordinates or the video recording or a combination thereof; cause the computing device to be reoriented based on the position of the subject; and facilitate detection and recording of seizure events based on the EEG feed or video recording or IR coordinates or a combination thereof. The computing device provides a seizure event report based on detection of the seizure events.

A system includes an EEG headset, comprising EEG electrodes and InfraRed (IR) transmitters, to be worn by a subject. A recording unit is communicably coupled to the EEG headset and comprises a computing device for receiving EEG feed from the EEG headset, IR coordinates corresponding to the IR transmitters from an IR sensor, and a video recording of the subject from a video camera. The computing device is to identify a position of the subject based on the IR coordinates or the video recording or a combination thereof; cause the computing device to be reoriented based on the position of the subject; and facilitate detection and recording of seizure events based on the EEG feed or video recording or IR coordinates or a combination thereof. The computing device provides a seizure event report based on detection of the seizure events.

The present invention, herein is a method and apparatus that significantly limits the effect of high frequency (“HF”) interferences on acquired electro-physiological signals, such as the EEG and EMG. Preferably, this method comprises of two separate electronic circuitries and steps or electronics for processing the signals. One circuit is used to block the transmission of HF interferences to the instrumentation amplifiers. It is comprised of a front-end active filter, a low frequency electromagnetic interference (“EMI”) shield, and an isolation barrier interface which isolates the patient from earth ground. The second circuit is used to measure the difference in potential between the two isolated sides of the isolation barrier. This so-called “cross-barrier” voltage is directly representative of the interference level that the instrumentation amplifier is subjected to. This circuit is used to confirm that the acquired signals are not corrupted by the interference.

The present invention, herein is a method and apparatus that significantly limits the effect of high frequency (“HF”) interferences on acquired electro-physiological signals, such as the EEG and EMG. Preferably, this method comprises of two separate electronic circuitries and steps or electronics for processing the signals. One circuit is used to block the transmission of HF interferences to the instrumentation amplifiers. It is comprised of a front-end active filter, a low frequency electromagnetic interference (“EMI”) shield, and an isolation barrier interface which isolates the patient from earth ground. The second circuit is used to measure the difference in potential between the two isolated sides of the isolation barrier. This so-called “cross-barrier” voltage is directly representative of the interference level that the instrumentation amplifier is subjected to. This circuit is used to confirm that the acquired signals are not corrupted by the interference.

An electrocardiograph (ECG) signal processing method and apparatus to resolve a problem that relatively severe interference caused during single-arm measurement for single-lead ECG collection seriously affects accuracy of heart rate calculation and cardiac rhythm analysis. The method includes collecting, by a measurement device, an ECG signal, extracting a k.sup.th valid QRS complex of the ECG signal, calculating a k.sup.th time difference and a (k+1).sup.th time difference, and determining whether the k.sup.th time difference and the (k+1).sup.th time difference are target time differences. In this way, accuracy of ECG feature extraction is improved, the interference caused during the single-arm measurement is eliminated to the most extent, and the accuracy of heart rate calculation and cardiac rhythm analysis can be effectively guaranteed.