Patents by Inventor Gary Nelson Garcia Molina

Gary Nelson Garcia Molina has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210282698
    Abstract: An apparatus and method for early detection of dementia overcomes the shortcomings of conventional systems and methods for detecting dementia. This is achieved by providing an apparatus and method for employing an early dementia biomarker based on the response to sensory stimulation during sleep, such as during non-rapid eye movement (NREM) sleep.
    Type: Application
    Filed: November 30, 2020
    Publication date: September 16, 2021
    Inventor: Gary Nelson GARCIA MOLINA
  • Publication number: 20210282704
    Abstract: An apparatus and method for employing the macro- and micro-structure of sleep and similar states of consciousness to optimize pain-treatment are disclosed wherein an objective biomarker of pain-related sleep disturbance guides pain treatment from a sleep perspective. Furthermore, this concept can be extended to states of reduced consciousness such as coma or sedation. Additionally, it could be applied on individuals who are non-communicative due to injury, disease, language issues and/or infancy.
    Type: Application
    Filed: November 30, 2020
    Publication date: September 16, 2021
    Inventors: Gary Nelson GARCIA MOLINA, Gaurav TRIVEDI, Gino IASELLA
  • Publication number: 20210282686
    Abstract: A method of detecting and treating stress in a patient includes receiving in a controller patient information obtained passively from one or more electronic devices associated with the patient; analyzing the patient information with the controller; determining in the controller, from the analyzing of the patient information, a stress-reducing treatment for the patient; and providing the stress-reducing treatment to the patient.
    Type: Application
    Filed: March 15, 2021
    Publication date: September 16, 2021
    Inventors: Akhil CHATURVEDI, Gary Nelson GARCIA MOLINA, Boomika KALYAN, Terese NAVARRA, Mantek CHADHA, Gaurav TRIVEDI
  • Publication number: 20210287776
    Abstract: A method is provided of generating behavior recommendations for a user, and communicating these to a user by means of a linguistic message, and wherein the recommended behavior or properties of the linguistic message are configured based on a measure of circadian inconsistency for the user. The measure of circadian inconsistency is derived by comparing an expected circadian curve of the user (e.g. an average curve derived from historical data for the user) with an empirical circadian curve for a given day. A deviation between the two provides an indication of the circadian inconsistency for the given day, and this is used to inform content, timing, wording, or other properties of the behavior recommendations.
    Type: Application
    Filed: December 23, 2020
    Publication date: September 16, 2021
    Inventors: Gary Nelson GARCIA MOLINA, Xia CHEN, Yash Parag MOKASHI, Mark Steven ALOIA
  • Publication number: 20210282705
    Abstract: The present disclosure pertains to systems and methods for modeling at least a sleep parameter for a subject. In some embodiments, a method for predicting at least a sleep parameter for a subject comprises: obtaining sleep and/or wake information related to a subject for a given period of time; estimating bedtime and/or wakeup time of the subject using a sleep model and the sleep and/or wake information; predicting at least a sleep parameter of the subject for an upcoming time interval based upon the sleep model and the estimated bedtime and/or wakeup time; obtaining physiological information of the subject; and adjusting the predicted sleep parameter for the upcoming time interval based upon the sleep model and the physiological information.
    Type: Application
    Filed: March 15, 2021
    Publication date: September 16, 2021
    Inventors: Gary Nelson GARCIA MOLINA, Benjamin Irwin SHELLY, Anthony BREWER, Matthew HOGAN
  • Patent number: 11116935
    Abstract: The present disclosure pertains to a system and method for delivering sensory stimulation to a user during a sleep session. The system comprises one or more sensors, one or more sensory stimulators, and one or more hardware processors. The processor(s) are configured to: determine one or more brain activity parameters indicative of sleep depth in the user based on output signals from the sensors; cause a neural network to indicate sleep stages predicted to occur at future times for the user during the sleep session; cause the sensory stimulator(s) to provide the sensory stimulation to the user based on the predicted sleep stages over time during the sleep session, and cause the sensory stimulator(s) to modulate a timing and/or intensity of the sensory stimulation based on the one or more brain activity parameters and values output from one or more intermediate layers of the neural network.
    Type: Grant
    Filed: May 9, 2019
    Date of Patent: September 14, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Gary Nelson Garcia Molina, Sander Theodoor Pastoor, Ulf Grossekathöfer, Erik Bresch, Adrienne Heinrich
  • Publication number: 20210205574
    Abstract: The present disclosure pertains to systems and methods for delivering sensory stimulation to a subject for facilitating sleep onset. The system comprises one or more sensors for generating output signals indicating one or more physiological parameters of a subject; a sensory stimulator for delivering sensory stimulation to the subject; and one or more physical processors configured to: determine an initial state of the subject based on the output signals from the sensor, the initial state corresponding to at least one physiological parameter of the subject; determine one or more stimulation parameters of sensory stimulation to be delivered to the subject by the sensory stimulator based on the initial state of the subject; and cause the sensory stimulator to deliver the sensory stimulation to the subject based on the determined one or more stimulation parameters.
    Type: Application
    Filed: December 4, 2020
    Publication date: July 8, 2021
    Inventors: Gary Nelson GARCIA MOLINA, Boomika KALYAN, Antonio AQUINO, Charles THOMAS, Matthew D. HOGAN
  • Patent number: 11052220
    Abstract: The present disclosure pertains to a system configured to adjust a volume of auditory stimulation delivered to a subject during sleep. The system is configured to determine a deepening time indicative of a rate at which sleep of the subject deepens during the sleep session. The deepening time is determined based on (i) a ratio of power in a high frequency band of an EEG signal to power in a low frequency band, (ii) a density of slow waves, or (iii) a hypnogram, indicative of sleep depth in the subject during the sleep session. The system is configured to determine a rate of volume increase for auditory stimulation during a subsequent sleep session based on the deepening time; and control the one or more sensory stimulators to adjust the volume of auditory stimulation provided to the subject during the subsequent sleep session based on the determined rate of volume increase.
    Type: Grant
    Filed: June 26, 2017
    Date of Patent: July 6, 2021
    Assignees: KONINKLIJKE PHILIPS N.V., Wisconsin Alumni Research Foundation
    Inventors: Gary Nelson Garcia Molina, Michele Bellesi, Brady Alexander Riedner, Giulio Tononi
  • Publication number: 20210187237
    Abstract: The present disclosure pertains to a system for delivering sensory stimulation to a subject, the system comprising: sensors configured to generate output signals indicating physiological parameters of a subject; a sensory stimulator configured to deliver sensory stimulation to the subject; and processors configured to: determine one or more physiological parameters of the subject; determine a target physiological parameter based on the on the determined one or more physiological parameters; determine one or more stimulation parameters of sensory stimulation to be delivered to the subject based on the target physiological parameter and the determined one or more physiological parameters; and cause the sensory stimulator to deliver the sensory stimulation to the subject based on the determined one or more stimulation parameters.
    Type: Application
    Filed: December 21, 2020
    Publication date: June 24, 2021
    Inventors: Gary Nelson GARCIA MOLINA, Boomika KALYAN, Antonio AQUINO
  • Publication number: 20210169391
    Abstract: An apparatus used in a method for generating an ear electroencephalogram (EEG) signal from an ear of a patient includes: a housing; a first electrode provided on a first portion of the housing received within an ear canal of the ear, such that the first electrode is disposed against a first surface of the ear canal to generate a first ear canal signal; a second electrode provided on a second portion of the housing structured to be received within a concha of the ear when the first portion is received within the ear canal, such that the second electrode is disposed against a surface of concha to generate a concha signal; and electronic circuitry provided within the housing, the electronic circuitry being structured and configured to generate a first in ear signal after receiving the first ear canal signal and the concha signal.
    Type: Application
    Filed: December 4, 2020
    Publication date: June 10, 2021
    Inventors: Gary Nelson GARCIA MOLINA, James Edward BARBER, Boomika KALYAN, Antonio AQUINO, Rebecca Lynn BLICE, Jason Grant TILK, Vikki NOWAK
  • Publication number: 20210169404
    Abstract: The present disclosure pertains to delivering sensory stimulation to a subject during a sleep session in order to enhance dream recall. The system may detect REM sleep in the subject during a sleep session based on brain activity of the subject. The system may then deliver sensory stimulation to the subject during the sleep session. The system may deliver sensory stimulation at a frequency in a theta range of an EEG signal in order to increase theta power in the brain activity of the subject. In some embodiments, the system may modulate the intensity of the sensory stimulation according to changes in the EEG theta power associated with the subject during the sleep session. In some embodiments, an increase in EEG theta power associated with the subject may promote dream recall.
    Type: Application
    Filed: December 9, 2020
    Publication date: June 10, 2021
    Inventors: Akhil CHATURVEDI, Gary Nelson GARCIA MOLINA
  • Publication number: 20210170138
    Abstract: The present disclosure pertains to enhancement of slow wave activity and personalized measurement thereof. Sensory stimulation may be delivered to a subject upon detection of slow wave activity of the subject. The system may obtain a baseline model, which includes baseline information describing slow wave activity increases due to sensory stimulation delivered to an age matched population. The system may generate a personalized model based on the baseline information, the sensory stimulation delivered to the subject, and slow wave activity increases due to sensory stimulation delivered to the subject during prior sleep sessions. The system may then provide the subject with personalized measurements relating to the slow wave activity enhancement.
    Type: Application
    Filed: December 4, 2020
    Publication date: June 10, 2021
    Inventor: Gary Nelson GARCIA MOLINA
  • Publication number: 20210170137
    Abstract: The present disclosure pertains to shortening sleep latency during the wake to sleep transition. Sensory stimulation is delivered to a subject by sensory stimulators during a sleep session, and a measure of wakefulness of the subject is determined. The sensory stimulators are controlled based on the measure of wakefulness of the subject. The sensory stimulators may be controlled to modulate an intensity of the sensory stimulation delivered to the subject. For example, the sensory stimulators may decrease the intensity of the sensory stimulation as the measure of wakefulness decreases. The system then determines that the measure of wakefulness has reached stable sleep. The sensory stimulators are controlled based on the determination that the measure of wakefulness has reached stable sleep. The sensory stimulators may decrease the intensity of the sensory stimulation at a faster rate once the measure of wakefulness reaches stable sleep.
    Type: Application
    Filed: December 4, 2020
    Publication date: June 10, 2021
    Inventors: Gary Nelson GARCIA MOLINA, Boomika KALYAN, Antonio AQUINO
  • Publication number: 20210138185
    Abstract: The present disclosure pertains to automatically predicting a slow wave response of a subject to sensory stimulation during a sleep session. The sensory stimulation may be delivered to the subject upon detection of deep NREM sleep. The sensory stimulation may be auditory, haptic, visual, or other stimulation. The system delivers stimulation to the subject in blocks of stimulation separated from one another be intra-block intervals. The blocks are separated from each other by inter-block stimulations. The system compares the stimulated slow wave activity of the subject to the unstimulated slow wave activity of the subject. The system may update the stimulation parameters based on the comparison and deliver a subsequent block stimulation. Once the comparison indicates that the stimulated slow wave activity is significantly different from the unstimulated slow wave activity, the system may apply continuous fixed sensory stimulation to the user according to the most recent stimulation parameters.
    Type: Application
    Filed: November 6, 2020
    Publication date: May 13, 2021
    Inventor: Gary Nelson GARCIA MOLINA
  • Publication number: 20210128867
    Abstract: 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.
    Type: Application
    Filed: December 27, 2017
    Publication date: May 6, 2021
    Inventors: Gary Nelson GARCIA MOLINA, Surya Subrahmanya Sreeram VISSAPRAGADA VENKATA SATYA, Stefan PFUNDTNER, Tsvetomira Kirova TSONEVA, Anandi MAHADEVAN
  • Patent number: 10994092
    Abstract: 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 depth in the subject during the sleep session. The restorative value of sleep may be increased by enhancing sleep slow-waves using sensory stimulation. The stimulation may be applied at an appropriate timing and/or intensity to enhance sleep slow-waves to enhance slow-waves without disturbing sleep.
    Type: Grant
    Filed: December 8, 2016
    Date of Patent: May 4, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Gary Nelson Garcia Molina, Anandi Mahadevan, Surya Subrahmanya Sreeram Vissapragada Venkata Satya, John Gerthoffer
  • Publication number: 20210121657
    Abstract: A method is provided for measuring a wake up indicator, where the wake up indicator gives the likelihood of a user waking up undesirably. It is based on the knowledge that waking up during deep NREM sleep is not desirable due to sleep inertia and on the recognition that it is also undesirable to wake up during REM sleep due to atonia. A sleep inertia estimation is determined to estimate if the user is in NREM sleep and an atonia estimation is determined to estimate if the user is in REM sleep. The wake up indicator is determined from the sleep inertia estimation and the atonia estimation. The wake up indicator thus may be used as an indicator for the time when it is suitable to wake up the user in a way which avoids arousal from a deep sleep state or from REM sleep, during which atonia may arise.
    Type: Application
    Filed: October 28, 2020
    Publication date: April 29, 2021
    Inventors: Tsvetomira Kirova TSONEVA, Gary Nelson GARCIA MOLINA, Xia CHEN
  • Patent number: 10939866
    Abstract: The present disclosure pertains to a system and method for determining sleep onset latency in a subject. The system is configured to generate output signals conveying information related to brain activity in the subject, determine sleep stages of the subject based on the output signals, determine a sleep onset moment in the subject based on the determined sleep stages, determine a sleep intention moment for the subject by: (i) detecting eye blinks in the subject based on the output signals, and determining the sleep intention moment responsive to the detected eye blinks ceasing for a predetermined period of time; and/or (ii) determining whether brain activity power in a target frequency band has breached a threshold power level based on the output signals, and determining the sleep intention moment responsive to a breach; and determine the sleep onset latency based on the sleep onset moment and the sleep intention moment.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: March 9, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Tsvetomira Kirova Tsoneva, Gary Nelson Garcia Molina
  • Publication number: 20200305753
    Abstract: 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.
    Type: Application
    Filed: March 27, 2020
    Publication date: October 1, 2020
    Inventors: Tsvetomira Kirova TSONEVA, Gary Nelson GARCIA MOLINA, Stefan PFUNDTNER, Sander Theodoor PASTOOR
  • Publication number: 20200306494
    Abstract: 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.
    Type: Application
    Filed: March 27, 2020
    Publication date: October 1, 2020
    Inventors: Gary Nelson Garcia MOLINA, Ulf GROSSEKATHĂ–FER, Stojan TRAJANOVSKI, Jesse SALAZAR, Tsvetomira Kirova TSONEVA, Sander Theodoor PASTOOR, Antonio AQUINO, Adrienne HEINRICH, Birpal Singh SACHDEV