Koninklijke Philips Corporation N.v.

Wisconsin Alumni Research Foundation

Koninklijke Phiilps N.v.

Stefan Pfundtner

Gary Nelson Garcia Molina

Harry Broers

Daan Anton Van Den Ende

Yannyk Parulian Julian Bourquin

Karl Catharina Van Bree

Caifeng Shan

Tsvetomira Kirova Tsoneva

Sander Theodoor Pastoor

Anandi Mahadevan

Giulio Tononi

Michele Bellesi

Brady Alexander Riedner

Surya Subrahmanya Sreeram Vissapragada Venkata Satya

Diane Kosobud

Cristian Nicolae Presura

Antonius Hermanus Maria Akkermans

Guy Anthony Brown

David Antoine Christian Marie Roovers

Jacek Lukasz Kustra

Alphonsus Tarcisius Jozef Maria Schipper

Maria Estrella Mena Benito

Antonio Aquino

Koen Theo Johan De Groot

Cornelus Hendricus Bertus Arnoldus Van Dinther

Alexander Cornelis Geerlings

Cornelis Harm Taal

Petrus Johannes Arnoldus Hubertus Kuijten

Annette Kapitan

Edouard Robert Marcus Gebski

Megan King

Jessica Weeden

Mark Choi

Guido Theodorus Gerardus Volleberg

Karl Catharina Bree

John Cornelius Petrus Van Der Ven

A system for delivering sensory stimulation a sensor; a sensory stimulator configured to deliver sensory stimulation to a patient during a sleep session, the sensory stimulation having varying stimulation intensity levels; and a computer system. One or more physical processors being programmed with computer program instructions which, when executed cause the computer system to: determine sleep stage information of the patient based on brain activity information of the patient during the sleep session from the sensor; provide input to the sensory stimulator based on the determined sleep stage information of the patient, the provided input causing the sensory stimulator to deliver the sensory stimulation to the patient; obtain stimulation response information from the patient, the stimulation response information including patient brain response to the delivered sensory stimulation; and determine a range of the stimulation intensity levels within which the patient brain response reaches a threshold.

Method and system for delivering sensory simulation based on evoked response quantification

The present disclosure pertains to facilitating sleep improvement for a user. In a non-limiting embodiment, user data associated with a sleep session of a user is received from one or more sensors. Based on the user data, one or more sleep metrics associated with the sleep session are generated. One or more reference sleep metrics are determined based on prior user data obtained from one or more prior sleep sessions. One or more immediate values related to the sleep session is/are determined based on a comparison of the sleep metrics with the reference sleep metrics. A sleep session score value is generated based on the immediate values, and the sleep session score value and the sleep metrics are caused to be presented on via an output device.

System and method for facilitating sleep improvement for a user

The present invention relates to a device () for determining an arterial compliance of a subject (). The device () comprises an inflatable cuff (), a pressure sensor () which is configured to sense a pressure signal () that is indicative of a pressure within the cuff (), a second sensor () which is at least partly integrated in the cuff () and configured to sense a second signal () that is responsive to expansions and contractions of the cuff () caused by a pulsating blood flow in an artery () of the subject (), and a processing unit (). The processing unit is configured to determine based on said part of the pressure signal () a pulse pressure of the subject (), to determine based on said part of the second signal () an arterial volume change of the artery () of the subject () during at least one cardiac cycle, and to determine the arterial compliance of the subject () based on pulse pressure and the arterial volume change.

Device and method for non-invasive assessment of maximum arterial compliance

The present disclosure pertains to systems and methods for encoding and/or decoding brain activity signals for data reduction. In a non-limiting embodiment, first user data associated with a first sleep session of a user is received. The first user data is determined to include at least a first instance of a first sleep feature being of a first data size. A first value representing the first instance during a first temporal interval is determined. First encoding data representing the first value is determine, the first encoding data being of a second data size that is less than the first data size. Second user data is generated by encoding the first user data using the first encoding data to represent the first instance in the second user data, and the second user data is stored.

System and method for reducing physiological data size

The present disclosure pertains to a system and method for determining whether a subject is likely to be disturbed by therapy levels of stimulation provided to the subject during sleep sessions. The present system is configured to automatically identify sensitive users using electroencephalogram (EEG) information from a reference sleep session with or without stimulation. For reference sleep sessions without stimulation, the alpha activity in detected deep sleep is used to predict whether the subject is likely to be disturbed by therapy levels of stimulation. For reference sleep sessions with stimulation, the acute increase in EEG delta (e.g., 0.5-4 Hz) power and/or an arousability index are used to predict whether the subject is likely to be disturbed by therapy levels of stimulation.

System and method for determining whether a subject is likely to be disturbed by therapy levels of stimulation during sleep sessions

The present disclosure pertains to a system configured to output an indicator representative of effects of stimulation provided to a subject during a sleep session. The indicator is determined based on a combination of the effect of stimulation on sleep restoration, stimulation quality, sleep architecture factors, and/or other information. The indicator is determined using age matched reference information on deep sleep duration and EEG slow wave activity. The contribution to the indicator associated with sleep architecture factors is determined based on age matched reference information including sleep onset latency, wake after sleep onset, total sleep time, micro-arousal count, sleep stage(s) prior to awakening, and/or other information.

System and method for outputting an indicator representative of the effects of stimulation provided to a subject during sleep

The present disclosure pertains to a system configured to adjust an intensity of sensory stimulation delivered to a subject during a sleep session based on sleep spindles in the subject during the sleep session. The system is configured to adjust the intensity of the stimulation based on a sleep spindle frequency and/or a sleep spindle density. The system is configured to determine a recent spindle density and/or a recent spindle frequency for a recent period of time during the sleep session based on detected sleep spindles, and to determine a previous spindle density and/or a previous spindle frequency for a previous period of time during the sleep session based on the detected sleep spindles. The system controls the intensity of sensory stimulation provided to the subject based on a comparison of the previous spindle density to the recent spindle density and/or the previous spindle frequency to the recent spindle frequency.

System and method for adjusting the intensity of sensory stimulation during sleep based on sleep spindles

The present disclosure describes a system configured to adjust the duration of individual sensory stimuli provided to a subject. The system is configured to determine a current amount of slow wave activity in the subject, responsive to the subject being presently in slow wave sleep, control one or more sensory stimulators to provide the individual sensory stimuli to the subject, determine habituation of the subject to the individual sensory stimuli and, responsive to the slow wave activity in the subject for a period of time following the providing of the individual sensory stimuli showing habituation, adjust the duration of the individual sensory stimuli.

System and method for adjusting duration of sensory stimulation during sleep to enhance slow wave activity

The present disclosure pertains to a system configured to provide sensory stimulation to a subject during a sleep session. The system includes one or more sensory stimulators configured to provide sensory stimulation to the subject; one or more sensors configured to generate output signals conveying information related to brain activity of the subject; and one or more processors configured to detect individual slow waves in the subject; control the one or more sensory stimulators to provide sensory stimulation to the subject based on the detected individual slow waves; predict a timing for occurrence of a predicted slow wave based on the previously detected individual slow waves; and responsive to not detecting the predicted slow wave at the predicted timing control the one or more sensory stimulators to provide sensory stimulation at the predicted timing for occurrence of the predicted slow wave.

Providing sensory stimulation based on slow wave periodicity

The present application relates to a shaving guidance system () for guiding a user during a shaving procedure, the system comprising an image sensor () configured to register an image of a part of the body of the user, an image data analyzer () configured to determine a local hair-growth direction based on data in the image, a controller () configured to generate instructions about a direction in which a hair cutting device () is to be moved in dependence on the determined local hair-growth direction, and a feedback system () configured to provide the instructions to the user.

System and a method for guiding a user during a shaving procedure

The present disclosure pertains to a system and method for managing a sleep session of a subject. Managing the sleep session is based on cardiac activity in the subject during the sleep session. Cardiac activity, as monitored via one or more sensors worn on an extremity of the subject and/or placed at a distance from the subject, is used to determine periods of slow wave sleep. Sensory stimulation is delivered to the subject during the periods of slow wave sleep to enhance slow wave activity. Wearing a sensor on an extremity, and/or placing a sensor at a distance from the subject during sleep, as opposed to the subject wearing an EEG cap, is more comfortable for the subject.

System and method for enhancing sleep slow wave activity based on cardiac activity

The present disclosure pertains to a system and method for managing a sleep session of a subject. Managing the sleep session is based on slow wave activity in the subject during the sleep session. Slow wave activity is related to sleep pressure. Sleep pressure dissipates and/or decreases as the subject sleeps. The dissipation dynamics depend on a given subject. The manner in which dissipation occurs regulates the length of the given sleep session and is linked to the temporal dynamics of slow wave activity. The system is configured to determine a metric indicating sleep pressure dissipation and, responsive to the determined sleep pressure dissipation metric indicating that sleep pressure dissipation has reached a dissipation threshold level during the sleep session, wake the subject.

System and method for sleep session management based on slow wave sleep activity in a subject

Systems and methods to detect sleep stages of a subject analyze physiological parameters of the subject in combination with a subject's reactions to stimuli of increasing intensity and/or stimuli having different modalities. Stimuli are provided until a predetermined level of probability is reached for the accuracy of an estimation of the sleep stage of the subject.

Sensory stimuli to increase accuracy of sleep staging

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Eindhoven, Netherlands

Stefan Pfundtner