Devices, systems and methods for microelectronic animal identification are disclosed. The microelectronic animal identification device includes an inserter configured to releasably holding the microelectronic chip at a distal end of the inserter, and an actuator configured to release the microelectronic chip from the inserter when the distal end of the inserter is inserted into a substrate of an animal body part. The microelectronic animal identification system includes a microelectronic chip and delivery system, a pigment marking device, a media transfer assembly for producing a pigment mark, a tissue sample device, and a data management system providing traceability of the animal and the materials used.

A method includes receiving bio-potential inputs; generating signal channels from the bio-potential inputs; pre-processing data in the signal channels; extracting R-wave peaks from the pre-processed data; removing artifacts and outliers from the R-wave peaks; generating R-wave signal channels based on the R-wave peaks in the pre-processed signal channels; selecting two or more of the R-wave signal channels; and combining the selected two or more R-wave signal channels to produce an electrical uterine monitoring signal.

Two biomarkers are provided for obstructive apnea. A first biomarker determines amplitude and timing of inspiratory efforts from a bioelectric signal. The respiratory rate is compared with a normal pre-detection rate, and the amplitude of the effort is compared with a normal amplitude. The obstructive apnea is likely present if a series of inspiratory efforts are above a normal amplitude and with increasing amplitude, but at a normal rate. A second biomarker determines heart rate and respiratory rate. A normal lower threshold for heartbeat interval is established, and if subthreshold events occur (short RR intervals), a commencement time for each sequence of subthreshold events is compared for a respiratory rate-normalized window. If the number of subthreshold events exceeds a minimum for the window, obstructive apnea is likely present.

Applications for a Composite Neuro-physiological State (CNS) value include rating using the value as in indicator of participant emotional state in computer games and other social interaction applications. The CNS is computed based on biometric sensor data processed to express player engagement with content, game play, and other participants along multiple dimensions such as valence, arousal, and dominance. An apparatus is configured to perform the method using hardware, firmware, and/or software.

A neurostimulation system includes an electromyographic (EMG) electrode; a neural electrode implantable in a deep cerebellar nuclei of a subject; a data acquisition unit in communication with the EMG electrode for receiving and transmitting a EMG signal; and a processor in communication with the data acquisition unit, the processor generates a EMG pattern based on the EMG signal and outputs a stimulation signal to the neural electrode when the EMG pattern is indicative of an abnormal motor movement. A method of modulating an abnormal motor movement of a subject by using said neurostimulation system.

A biometric feedback system for providing biometric feedback to a subject while the subject performs a controlled physical movement includes an applied-force-recording interface and at least one controller electrically coupled to the applied-force-recording interface. The at least one controller receives applied force from the subject during the controlled physical movement and the applied-force-recording interface records data related to the applied force. The biometric feedback system also includes a dynamic surface electromyograph (sEMG) device that detects muscle tension along at least one muscle group of the subject while the subject performs the controlled physical movement and records data related to the muscle tension. A hub receives and processes data from the applied-force-recording interface and the dynamic sEMG device. A visual display displays the processed data from the hub.

Methods of bionic control of a device include passing an alternating current through a muscle to cause the muscle to contract, recording an electrophysiological signal from the contracting muscle, processing the electrophysiological signal to determine a measurement of electrical impedance, forwarding the measurement of electrical impedance to a controller, and controlling the device with a control action. A change of electrical impedance during muscle contraction is used as a basis for the control action.

A system may detect silent, internal articulation of words by a human user, by measuring low-voltage electrical signals at electrodes positioned on a user's skin. The measured signals may have been generated by neural activation of speech articulator muscles during the internal articulation. The system may detect the content of internally articulated words even though the internal articulation may be silent, may occur even when the user is not exhaling, and may occur without muscle movement that is detectable by another person. The system may react in real-time to this detected content. In some cases, the system reacts by providing audio feedback to the user via an earphone or a bone conduction transducer. In other cases, the system reacts by controlling another device, such as a luminaire or television. In other cases, the system reacts by sending a message to a device associated with another person.

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.

Described is a system for biofeedback, the system including one or more processors and a memory, the memory being a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions, the one or more processors perform operations including using a first biometric sensor during performance of a current task, acquiring first biometric data, and producing a first biometric value by assessing the first biometric data. The one or more processors further perform operations including determining a first relevance based on a first significance of a first correlation between the first biometric value and the current task, and controlling a device based on the first relevance and the first biometric value.