Koninklijke Philips Corporation N.v.

Birpal Singh Sachdev

Gary Nelson Garcia Molina

Antonio Aquino

David White

Jesse Salazar

William Gaussa

Peter Douglas Hill

Adrienne Heinrich

Sander Theodoor Pastoor

Robert William Murdoch

Surya Subrahmanya Sreeram Vissapragada Venkata Satya

Tsvetomira Kirova Tsoneva

Andrew L Shissler

Ulf Grossekathöfer

Stojan Trajanovski

A system for delivering sensory stimulation comprises a sensor configured to measure brain activity information of a patient during a sleep session; a sensory stimulator configured to deliver sensory simulation to the patient during the sleep session; and a computer system. One or more physical processors are programmed with computer program instructions which, when executed cause the computer system to: determine a first stimulation profile, a second stimulation profile, or a combination stimulation profile thereof based on obtained sleep cycle information and/or obtained cognitive domain information; and provide input to the sensory stimulator based on the determined stimulation profile, the provided input causing the sensory stimulator to deliver the sensory simulations to the patient based on the determined stimulation profile during the detected slow wave sleep in the patient.

Method and system to deliver timed and grouped sensory stimulation

Typically, high NREM stage N3 sleep detection accuracy is achieved using a frontal electrode referenced to an electrode at a distant location on the head (e.g., the mastoid, or the earlobe). For comfort and design considerations it is more convenient to have active and reference electrodes closely positioned on the frontal region of the head. This configuration, however, significantly attenuates the signal, which degrades sleep stage detection (e.g., N3) performance. The present disclosure describes a deep neural network (DNN) based solution developed to detect sleep using frontal electrodes only. N3 detection is enhanced through post-processing of the soft DNN outputs. Detection of slow-waves and sleep micro-arousals is accomplished using frequency domain thresholds. Volume modulation uses a high-frequency/low-frequency spectral ratio extracted from the frontal signal.

Enhancing deep sleep based on information from frontal brain activity monitoring sensors

The present disclosure pertains to a system and method for providing sensory stimulation (e.g., tones and/or other sensory stimulation) during sleep. The delivery of the sensory stimulation is timed based on a combination of output from a trained time dependent sleep stage model and output from minimally obtrusive sleep monitoring devices (e.g. actigraphy devices, radar devices, video actigraphy devices, an under mattress sensor, etc.). The present disclosure describes determining whether a user is in deep sleep based on this information and delivering sensory stimulation responsive to the user being in deep sleep. In some embodiments, the system comprises one or more sensory stimulators, one or more hardware processors, and/or other components.

System and method for delivering sensory stimulation to a user based on a sleep architecture model

The present disclosure pertains to a system configured to deliver sensory stimulation to a user to enhance a target cognitive domain during a sleep session. Example target cognitive domains include memory consolidation, vigilance, verbal fluency, sleepiness, and/or other target cognitive domains. The stimulation is adjusted based on the target cognitive domain to be enhanced. Responsive to one or more brain activity parameters indicating the user is in sufficiently deep sleep, the system is configured to cause one or more sensory stimulators to provide sensory stimulation to the user according to a stimulation strategy associated with the target cognitive domain. The system is configured to determine the effect of the sensory stimulation provided to the user using a quantification method associated with the stimulation strategy and the target cognitive domain. The system includes one or more sensory stimulators, one or more sensors, one or more hardware processors, and/or other components.

System and method for delivering sensory stimulation to a user to enhance a cognitive domain in the user

Systems and methods for monitoring subjects after discharge from a hospital use a dynamic baseline to determine whether a caregiver needs to be notified regarding exacerbation of a medical state of a subject. The subjects are chronic obstructive pulmonary disease (COPD) patients. The dynamic baseline is determined by aggregating (for example averaging) multiple values of a sequence of values for a metric that quantifies one or both of a patient symptom (e.g. the number of overnight apnea occurrences) and/or lung function of a subject (e.g. forced expiratory volume in 1 second). Multiple metrics may be combined to generate the value that is monitored for a subject.

Post-hospital-discharge COPD-patient monitoring using a dynamic baseline of symptoms/measurement

A pressurized flow of breathable gas is delivered to the airway of a subject in accordance with a therapy regime. Responsive to the subject resuming respiration after a respiratory event, delivery of the pressurized flow of breathable gas is resumed at an inhalation in the therapy regime. As such, the therapy regime is effectively re-synchronized with the respiration of the subject subsequent to a respiratory event.

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Delmont, PA, United States of America

Birpal Singh Sachdev