This disclosure relates generally to head movement noise removal from electrooculography (EOG) signals, and more particularly to systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals. Embodiments of the present disclosure provide for head movement noise removal from the EOG signals by acquiring EOG signals of a user, filtering the acquired EOG signals to obtain a first set of filtered EOG signals, smoothening the first set of filtered EOG signals to obtain smoothened EOG signals, removing one or more redundant patterns and one or more direct current (DC) drifts from the smoothened EOG signals to obtain a second set of filtered EOG signals, and applying, a discrete wavelet transform on the second set of filtered EOG signals to filter a plurality of head movement noise from the second set of filtered EOG signals of the user.

Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, sleep disturbing noises are predicted and a biosignal parameter is measured to dynamically mask predicted disturbing environmental noises in the sleeping environment with active attenuation. Environmental noises in a sleeping environment of a subject are detected, input, or predicted based on historical data of the sleeping environment collected over a period of time. The biosignal parameter is used to determine sleep physiology of a subject. Based on the environmental noises in the sleeping environment and the determined sleep physiology, the noises are predicted to be disturbing or non-disturbing noises. For predicted disturbing noises, one or more actions are taken to regulate sleep and avoid sleep disruption by using sound masking prior to or concurrently with the occurrence of the predicted disturbing noises.

Aspects of the present disclosure provide methods, apparatuses, and systems for dynamically masking audible breathing noises determined to be generated by one or more sleeping partners. According to aspects, a subject's sleep is protected by detecting audible breathing noises in a sleeping environment, determining the audible breathing noises are not generated by the subject, and mitigating the perception of the audible breathing noises that are determined to originate from anther subject, such as a bed partner, pet, etc. The dynamic masking reduces the subject's exposure to unnecessary sounds and reduces the chances of masking sounds disturbing the subject's sleep.

The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

Example methods, systems, and machine readable media are disclosed herein for determining a subject resonance measurement. An example method includes accessing first neuro-response data obtained from a subject prior to exposure to an advertisement or entertainment and second neuro-response data obtained from the subject after exposure to the advertisement or the entertainment, respectively. The example method includes calculating, using a processor, a first event related potential measurement and a second event related potential measurement based on the first neuro-response data and the second neuro-response data. The example method includes calculating, using the processor, a differential event related potential measurement based on the first event related potential measurement and the second event related potential measurement. In addition, the example method includes determining a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement.

A wearable device, a signal processing method and a signal processing device are disclosed. The wearable device includes a processor and a signal collector electrically connected to the processor. The signal collector includes at least one electroencephalogram sensor configured to collect an electroencephalogram signal and at least one electrooculogram sensor configured to collect an electrooculogram signal. The processor is configured to generate a control signal based on the electroencephalogram signal and the electrooculogram signal, and the electroencephalogram sensor and the electrooculogram sensor are different sensors.

A method, system and computer readable program storage device for managing personalized nutrition. In an embodiment, the method comprises acquiring with a portable device a collection of physical metrics of a user; storing the collection of physical metrics on the portable device; and linking the stored physical metrics with information about the user, pre-stored on a separate storage device, to determine nutrition for the user. The linking is augmented with information obtained over the Internet to identify a place to obtain said nutrition for the user. In an embodiment, the portable device is used to measure a glucose level of the user; the glucose level of the user is compared with thresholds stored in the separate storage device; and based on these thresholds, the portable device issues a warning to the user to additional parties.

A vital-sign estimation apparatus is provided. The vital-sign estimation apparatus includes a physiological sensing device, a model generation circuit, and a vital-sign estimator. The physiological sensing device is configured to sense at least one physiological feature of an object to acquire at least one bio-signal. The model generation circuit provides a first reference model serving as an estimation mode. The vital-sign estimator generates vital-sign data according to the at least one bio-signal by using the estimation model. In response to the vital-sign estimation apparatus receiving calibration data, the model generation circuit changes the estimation model according to the calibration data thereby calibrating the vital-sign estimator.

A system for inducing a Pavlovian association of a scent with a state of less-than-moderate pain, to thereby minimize perceived pain, and to reduce the need for narcotic analgesics. The system includes at least a physiological sensor configured to detect at least one physiological parameter of the user. The physiological parameter of the user may include heart rate variability, blood pressure, galvanic skin response, movement, facial expression and the like. After detection of the physiological parameter, an activation signal is then transmitted to an automatically activated scent diffuser, which diffuses a scent, as a function of the electronic activation signal. The scent may include one or more scent liquids, such as perfumes, essential oils, or the like. Activation of the scent diffuser is maintained by a control circuit that receives the detection signal from the at least one physiological sensor, ascertains that the user has transitioned to a state of less-than-moderate pain, and transmits a signal to the automatically activated scent diffuser. After an association, wherein association further includes conditioning, is created in the user, by iterative performance of the foregoing steps, the user can manually activate a second scent source, in order to trigger a conditioned reflex to assist the user in reducing pain levels.

An example system includes an analyzer to determine a first distance between (1) a first peak in a first frequency band of first neuro-response data gathered from a subject while exposed to media and (2) a second peak in the first frequency band; determine a second distance between (1) a third peak in the first frequency band and either (2) the second peak in the first frequency band or (3) a fourth peak in the first frequency band and determine a first difference between the first distance and the second distance. The example system includes a selector to determine a modification for the media based on the first difference and a modifier to implement the modification for presentation of the media.