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1 US10532183B2
Sleep improvement device and method for improving sleep
Publication/Patent Number: US10532183B2 Publication Date: 2020-01-14 Application Number: 15/697,268 Filing Date: 2017-09-06 Inventor: Raut, Samir Sopan   Raut, Purva Samir   Assignee: ARENAR GROUP B.V.   IPC: A61M21/00 Abstract: A sleep improvement device and a method for improving sleep, wherein the sleep improvement device is arranged for: initiating a sleep meditation mode when the user is awake, in the sleep meditation mode emitting relaxing stimuli, monitoring the brainwave signals during a plurality of epochs, determining when the user's brainwave frequencies for at least 20 percent of one or more of the epochs are within a training range of 10 to 17 Hz and then emitting training stimuli; and initiating a dream improvement mode when one or more of the epochs are scored as a REM sleep stage and in the dream improvement mode emitting lucid dream inducing stimuli corresponding to one or more of the training stimuli from the sleep meditation mode. Also provided is a data carrier including instructions for causing the sleep improvement device to execute the method for improving sleep. A sleep improvement device and a method for improving sleep, wherein the sleep improvement device is arranged for: initiating a sleep meditation mode when the user is awake, in the sleep meditation mode emitting relaxing stimuli, monitoring the brainwave ...More Less
2 US10660575B2
Ultra high impedance sensor with applications in neurosensing
Publication/Patent Number: US10660575B2 Publication Date: 2020-05-26 Application Number: 15/031,229 Filing Date: 2014-11-26 Inventor: Maccallum, Kenneth   Assignee: Zengar Institute Inc.   IPC: A61B5/00 Abstract: A sensor circuit usable with capacitive sensors in an electrical potential sensing network is provided. The sensor circuit provides bias current while maintaining a high input impedance for signals in a frequency band of interest by positive feedback of a filtered measurement through a finite impedance. The sensor circuits are suited for technologies such as, but not limited to electroencephalography (EEG), electromyography (EMG) and electrocardiograms (ECG). A neurofeedback system utilizing the capacitive conduction sensor is also described. A sensor circuit usable with capacitive sensors in an electrical potential sensing network is provided. The sensor circuit provides bias current while maintaining a high input impedance for signals in a frequency band of interest by positive feedback of a filtered measurement ...More Less
3 US10660537B2
Headgear with displaceable sensors for electrophysiology measurement and training
Publication/Patent Number: US10660537B2 Publication Date: 2020-05-26 Application Number: 15/678,316 Filing Date: 2017-08-16 Inventor: Hagedorn, David W   Assignee: EVOKE NEUROSCIENCE, INC.   IPC: A61B5/0482 Abstract: A method and system provides for headgear usable for electrophysiological data collection and analysis and neurostimulation/neuromodulation or brain computer interface for clinical, peak performance, or neurogaming and neuromodulation applications. The headgear utilizes dry sensor technology as well as connection points for adjustable placement of the bi-directional sensors for the recoding of electrophysiology from the user and delivery of current to the sensors intended to improve or alter electrophysiology parameters. The headgear allows for recording electrophysiological data and biofeedback directly to the patient via the sensors, as well as provide low intensity current or electromagnetic field to the user. The headgear can further include auditory, visual components for immersive neurogaming. The headgear may further communication with local or network processing devices based on neurofeedback and biofeedback and immersive environment experience with balance and movement sensor data input. A method and system provides for headgear usable for electrophysiological data collection and analysis and neurostimulation/neuromodulation or brain computer interface for clinical, peak performance, or neurogaming and neuromodulation applications. The headgear utilizes dry ...More Less
4 US2020205712A1
ASSESSMENT OF RISK FOR MAJOR DEPRESSIVE DISORDER FROM HUMAN ELECTROENCEPHALOGRAPHY USING MACHINE LEARNED MODEL
Publication/Patent Number: US2020205712A1 Publication Date: 2020-07-02 Application Number: 16/284,607 Filing Date: 2019-02-25 Inventor: Laszlo, Sarah Ann   Levine, Gabriella   Evangelopoulos, Georgios   Assignee: X Development LLC   IPC: A61B5/16 Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting a human participant with information known to stimulate a person's neural reward system. Receiving an EEG signal from a sensor coupled to the human participant in response to presenting the participant with the information, the EEG signal being associated with the participant's neural reward system. Contemporaneously with receiving the EEG signal, receiving contextual information related to the information presented to the human participant. Processing the EEG signal and the contextual information in real time using a machine learning model trained to associate depression in the person with EEG signals associated with the person's neural reward system and the presented information. Diagnosing whether the participant is experiencing depression based on an output of the machine learning model. Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting a human participant with information known to stimulate a person's neural reward system. Receiving an EEG signal from a sensor coupled to the human participant in ...More Less
5 US2020237618A1
SYSTEMS, APPARATUSES, DEVICES, AND PROCESSES FOR SYNERGISTIC NEURO-PHYSIOLOGICAL REHABILITATION AND/OR FUNCTIONAL DEVELOPMENT
Publication/Patent Number: US2020237618A1 Publication Date: 2020-07-30 Application Number: 16/851,080 Filing Date: 2020-04-16 Inventor: Banerji, Subhasis   Heng, Kok Hui John Gerard   Assignee: Nanyang Technological University   IPC: A61H99/00 Abstract: In an embodiment a system for facilitating a subject's functional development includes sensing devices configured for sensing mind state signals; sensing devices configured for sensing body state signals; and a set of processing resources configured for generating a mind state indicator/measure, a body state indicator/measure, and a mind-body synergy indicator/measure that corresponds to an expected extent to which each of the subject's mind state and the subject's body state are cooperatively or synergistically aligned with respect to facilitating the subject's functional development. In an embodiment, the system can be configured for concurrently presenting a set of activities involving a model body part; engaging the subject in attempted imitation of the set of activities by way of attempted movement of a subject body part that is a mirror image of the model body part; presenting an indication of an expected extent to which each of the subject's mind state and body state are cooperative with respect to subject performance of the set of activities; and presenting an indication of an extent of subject relaxation. An associated multiple (e.g., up to 12) degree of freedom robotic orthosis can include a set of appendage motion modules configured for engaging with a portion of a subject appendage; a set of mechanical power interface modules coupled to the set of appendage motion modules and configured for facilitating movement of appendage motion modules within the set of appendage motion modules; and a set of flexible drive shafts couplable to the set of mechanical power interface modules. In an embodiment a system for facilitating a subject's functional development includes sensing devices configured for sensing mind state signals; sensing devices configured for sensing body state signals; and a set of processing resources configured for generating a mind state ...More Less
6 US10531805B2
Biophysical sensing systems and methods using non-contact electric field detectors
Publication/Patent Number: US10531805B2 Publication Date: 2020-01-14 Application Number: 15/720,583 Filing Date: 2017-09-29 Inventor: Bickford, James A.   Kratchman, Louis   Freeman, Daniel   Mariano, Laura Jane   Assignee: THE CHARLES STARK DRAPER LABORATORY, INC.   IPC: G01R31/00 Abstract: Aspects are generally directed to systems and methods that integrate contactless electric field detectors to measure biophysical signals generated by a body. In one example, a biophysical sensing system includes a sensing assembly including an array of contactless electric field detectors, each of the contactless electric field detectors being configured to sense a corresponding component of an electric field generated by a body, a control system to receive sensor data indicative of the components of the electric field sensed by each of the contactless electric field detectors, the control system being configured to generate an estimate of the electric field based on the sensor data, and a feedback system coupled to at least the control system, the feedback system including at least one feedback interface, the feedback system being configured to operate the feedback interface to provide feedback based on the estimate of the electric field. Aspects are generally directed to systems and methods that integrate contactless electric field detectors to measure biophysical signals generated by a body. In one example, a biophysical sensing system includes a sensing assembly including an array of contactless electric field ...More Less
7 US10582875B2
Brainwave actuated apparatus
Publication/Patent Number: US10582875B2 Publication Date: 2020-03-10 Application Number: 15/392,483 Filing Date: 2016-12-28 Inventor: Mann, Steve   Assignee: INTERAXON, INC.   IPC: A61B5/0482 Abstract: A brainwave actuated apparatus has a brainwave sensor for outputting a brainwave signal, an effector responsive to an input signal, and a controller operatively connected to an output of said brainwave sensor and a control input to said effector. The controller is adapted to determine characteristics of a brainwave signal output by said brainwave sensor and based on said characteristics, derive a control signal to output to said effector. A brainwave actuated apparatus has a brainwave sensor for outputting a brainwave signal, an effector responsive to an input signal, and a controller operatively connected to an output of said brainwave sensor and a control input to said effector. The controller is adapted to ...More Less
8 US2020129083A1
PORTABLE APPARATUS AND METHOD OF CHANGING SCREEN OF CONTENT THEREOF
Publication/Patent Number: US2020129083A1 Publication Date: 2020-04-30 Application Number: 16/728,482 Filing Date: 2019-12-27 Inventor: Moon, Sun-ho   Choi, Jong-ho   Kwak, Se-jin   Kim, Sung-soo   Kim, Hwa-kyung   Ryu, Jong-youb   Lee, Sang-hyup   Assignee: Samsung Electronics Co., Ltd.   IPC: A61B5/0482 Abstract: A portable apparatus and a method of changing a content screen of the portable apparatus are provided. The portable apparatus includes changing a displayed content in response to an increase in a visual fatigue and a method of changing a content screen of the portable apparatus. Some of disclosed various embodiments provide a portable apparatus that calculates a visual fatigue by using user electroencephalogram (EEG) information received from a wearable apparatus and changing a displayed content into another content in response to an increase in the calculated visual fatigue, and a method of changing a content screen of the portable apparatus. A portable apparatus and a method of changing a content screen of the portable apparatus are provided. The portable apparatus includes changing a displayed content in response to an increase in a visual fatigue and a method of changing a content screen of the portable apparatus ...More Less
9 US2020069209A1
NEUROFEEDBACK BRAIN WAVE SYNCHRONY TRAINING TECHNIQUES, SYSTEMS, AND METHODS
Publication/Patent Number: US2020069209A1 Publication Date: 2020-03-05 Application Number: 16/046,835 Filing Date: 2018-07-26 Inventor: Keane, Christopher   Assignee: Keane, Christopher   IPC: A61B5/0482 Abstract: Methods, systems, and techniques for providing neurofeedback and for training brain wave function are provided. Example embodiments provide a Brain Training Feedback System (“BTFS”), which enables participants involved in brain training activities to learn to evoke/increase or suppress/inhibit certain brain wave activity based upon the desired task at hand. In one embodiment, the BTFS provides a brain/computer interaction feedback loop which monitors and measures EEG signals (brain activity) received from participant and provides feedback to participant. The BTFS may use an FFT based system or machine learning engines to deconstruct and classify brain wave signals. The machine learning based BTFS enable optimized feedback and rewards, adaptive feedback, and an ability to trigger interventions to assist in desired brain transitions. In addition, synchrony only based training is supported with the use of surround sound. Methods, systems, and techniques for providing neurofeedback and for training brain wave function are provided. Example embodiments provide a Brain Training Feedback System (“BTFS”), which enables participants involved in brain training activities to learn to ...More Less
10 US2020061378A1
Methods and Apparatuses for Improving Peripheral Nerve Function
Publication/Patent Number: US2020061378A1 Publication Date: 2020-02-27 Application Number: 16/461,085 Filing Date: 2017-11-14 Inventor: Ganguly, Karunesh   Tsu, Adelyn   Natraj, Nikhilesh   Howles-banerji, P Gabriel   Doshi, Rajiv   Venkateswara-rao, T Kondapavulur   Assignee: The Regents of the University of California   IPC: A61N1/36 Abstract: Methods and apparatuses for sensory electrical stimulation of the peripheral nervous system to improve human motor function and performance are described. Methods and devices may be used to enhance physical performance of athletes, professionals, and gamers or improve motor function (hand, finger and limb movement) in patients rehabilitating from neurological deficits and impairments caused by stroke, traumatic brain injury and other neurologic or non-neurologic conditions. These apparatuses and methods may be used for physical training and mental training (to improve memory and functional performance including motor coordination, limb-eye coordination, occupational and recreational skills) through periodic or sustained sensory electrical stimulation. Treatment plans may be based on biomarkers and may be used alone or in combination with other apparatuses. Learning and feedback techniques individualize treatment parameters depending on the subject's neurologic and motor function in diseased patients and healthy users. Methods and apparatuses for sensory electrical stimulation of the peripheral nervous system to improve human motor function and performance are described. Methods and devices may be used to enhance physical performance of athletes, professionals, and gamers or improve motor ...More Less
11 CN110801225A
一种基于脑电神经反馈的增强平衡力的系统
Title (English): A System Based on EEG Neural Feedback to Enhance Balance Force
Publication/Patent Number: CN110801225A Publication Date: 2020-02-18 Application Number: 201910965847.6 Filing Date: 2019-10-12 Inventor: 伏云发   王发旺   李红权   王晓琳   吴帆   程昭立   李鸿云   Assignee: 昆明理工大学   IPC: A61B5/0482 Abstract: 本发明涉及基于脑电神经反馈的增强平衡力的系统,属于生理学及脑科学技术领域。本发明用于实现将脑电信号用于游戏难度的控制和平衡能力的实时显示;对于将脑电信号用于游戏难度的控制:脑电采集系统中的脑电帽采集O1和O2位置通道的脑电信号,传给脑电采集系统中的脑电放大器放大,放大后的脑电信号通过路由器传至计算机中的脑电分析系统,计算机中的脑电分析系统计算出脑电波中θ波和β波的持续时间,当θ波的持续时间多于β波的持续时间时,则增加计算机中的游戏训练系统中游戏的难度,通过游戏对训练者的视觉刺激来抑制θ波而增强β波,否则不增加游戏难度。本发明提供了通过脑电神经反馈来增强普通人平衡力的方法。 本发明涉及基于脑电神经反馈的增强平衡力的系统,属于生理学及脑科学技术领域。本发明用于实现将脑电信号用于游戏难度的控制和平衡能力的实时显示;对于将脑电信号用于游戏难度的控制:脑电采集系统中的脑电帽采集O1和O2位置通道的脑电信号,传给脑电采集系统中的脑电放大器放大,放大后的脑电信号通过路由器传至计算机中的脑电分析系统,计算机中的脑电分析系统计算出脑电波中θ波和β波的持续时间,当θ波的持续时间多于β波的持续时间时,则增加计算机中的游戏训练系统中游戏的难度,通过游戏对训练者的视觉刺激来抑制θ波而增强β波,否则不增加游戏难度。本发明提供了通过脑电神经反馈来增强普 ...More Less
12 US10537729B2
Trigeminal neurostimulation based upon pulse counting and chronobiology
Publication/Patent Number: US10537729B2 Publication Date: 2020-01-21 Application Number: 15/600,499 Filing Date: 2017-05-19 Inventor: Cook, Ian A.   Kealey, Colin   Assignee: NEUROSIGMA, INC.   IPC: A61B5/00 Abstract: Trigeminal nerves are stimulated based upon pulse counting and chronobiology. A cutaneous electrode assembly is applied to the forehead to stimulate the ophthalmic nerves. A method may include determining a number of pulses to be administered to a patient based upon the disorder being treated, and pulsing current through an electrode assembly to stimulate the patient's supraorbital and supratrochlear nerves with the determined number of pulses. Another method may include determining a pulse repetition frequency for pulses to be administered to a patient based upon the disorder being treated, and pulsing current through an electrode assembly to stimulate the patient's supraorbital and supratrochlear nerves at the pulse repetition frequency. Trigeminal nerves are stimulated based upon pulse counting and chronobiology. A cutaneous electrode assembly is applied to the forehead to stimulate the ophthalmic nerves. A method may include determining a number of pulses to be administered to a patient based upon the disorder ...More Less
13 US10631743B2
Virtual reality guided meditation with biofeedback
Publication/Patent Number: US10631743B2 Publication Date: 2020-04-28 Application Number: 15/162,572 Filing Date: 2016-05-23 Inventor: Goldberg, Alex Jeffrey   Goldberg, Aaron Serling   Assignee: THE STAYWELL COMPANY, LLC   IPC: A61B5/024 Abstract: A guided meditation system, such as a virtual reality (VR) guided meditation system, provides biofeedback. Wearable devices (e.g., fitness trackers) record information about a physiological state of a user (e.g., heart rate, blood pressure, sleep, and activity data). Performing guided meditation exercises may help users improve their physiological state (e.g., by decreasing a user's heart rate). The VR guided meditation system automatically retrieves physiological state information from wearable devices or third party applications before and/or after a user performs guided meditation exercises. Based on the retrieved information, the VR guided meditation system provides biofeedback related to effects or potential correlations between an exercise and the user's physiological state. In particular, the biofeedback indicates a certain type of meditation, certain VR environment location, or certain meditation duration that is likely to improve the user's physiological state. The VR guided meditation system also can provide recommended exercises to the user. A guided meditation system, such as a virtual reality (VR) guided meditation system, provides biofeedback. Wearable devices (e.g., fitness trackers) record information about a physiological state of a user (e.g., heart rate, blood pressure, sleep, and activity data). Performing ...More Less
14 EP3180073B1
SYSTEM FOR NEUROSTIMULATION ELECTRODE CONFIGURATIONS BASED ON NEURAL LOCALIZATION
Publication/Patent Number: EP3180073B1 Publication Date: 2020-03-11 Application Number: 15832516.7 Filing Date: 2015-08-14 Inventor: Schroeder, Dennis   Guangqiang, Jiang   Woock, John   Schmid, Eric   Assignee: Axonics Modulation Technologies, Inc.   IPC: A61N1/04
15 US2020163572A1
BRAINWAVE ACTUATED APPARATUS
Publication/Patent Number: US2020163572A1 Publication Date: 2020-05-28 Application Number: 16/774,545 Filing Date: 2020-01-28 Inventor: Mann, Steve   Assignee: INTERAXON INC.   IPC: A61B5/0482 Abstract: A brainwave actuated apparatus has a brainwave sensor for outputting a brainwave signal, an effector responsive to an input signal, and a controller operatively connected to an output of said brainwave sensor and a control input to said effector. The controller is adapted to determine characteristics of a brainwave signal output by said brainwave sensor and based on said characteristics, derive a control signal to output to said effector. A brainwave actuated apparatus has a brainwave sensor for outputting a brainwave signal, an effector responsive to an input signal, and a controller operatively connected to an output of said brainwave sensor and a control input to said effector. The controller is adapted to ...More Less
16 US2020205711A1
PREDICTING DEPRESSION FROM NEUROELECTRIC DATA
Publication/Patent Number: US2020205711A1 Publication Date: 2020-07-02 Application Number: 16/284,556 Filing Date: 2019-02-25 Inventor: Laszlo, Sarah Ann   Evangelopoulos, Georgios   Gupta, Pramod   Assignee: X Development LLC   IPC: A61B5/16 Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for causing a stimulus presentation system to present first content to a patient. Obtaining, from a brainwave sensor, electroencephalography (EEG) signals of the patient while the first content is being presented to the patient. Identifying, from within the EEG signals of the patient, first brainwave signals associated with a first brain system of the patient, the first brainwave signals representing a response by the patient to the first content. Determining, based on providing the first brainwave signals as input features to a machine learning model, a likelihood that the patient will experience a type of depression within a period of time. Providing, for display on a user computing device, data indicating the likelihood that the patient will experience the type of depression within the period of time. Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for causing a stimulus presentation system to present first content to a patient. Obtaining, from a brainwave sensor, electroencephalography (EEG) signals of the patient while the ...More Less
17 US10617297B2
Earpiece with in-ear electrodes
Publication/Patent Number: US10617297B2 Publication Date: 2020-04-14 Application Number: 15/796,370 Filing Date: 2017-10-27 Inventor: Turner, Jake Berry   Assignee: BRAGI GmbH   IPC: A61B5/00 Abstract: In some embodiments, an electronic device for monitoring EEG data, may include one or more of the following features: (a) a housing, (b) a processor disposed within the housing, (c) at least one sensor operatively connected to the processor, (d) at least two EEG electrodes operatively connected to the processor and positioned on the housing for receiving EEG signals from an ear surface, and (e) a plurality of EEG electrodes, wherein the processor measures the impedance of the plurality of EEG electrodes. In some embodiments, an electronic device for monitoring EEG data, may include one or more of the following features: (a) a housing, (b) a processor disposed within the housing, (c) at least one sensor operatively connected to the processor, (d) at least two EEG electrodes ...More Less
18 EP3585263A1
ASSEMBLY, METHOD AND COMPUTER PROGRAM PRODUCT FOR INFLUENCING A BIOLOGICAL PROCESS
Publication/Patent Number: EP3585263A1 Publication Date: 2020-01-01 Application Number: 18711180.2 Filing Date: 2018-02-22 Inventor: Talamini, Lucia Maddalena   Korjoukov, Ilja   Assignee: Universiteit van Amsterdam   Okazolab Ltd   IPC: A61B5/0482
19 US2020016407A1
Methods and Devices for Improving Cognitive Function
Publication/Patent Number: US2020016407A1 Publication Date: 2020-01-16 Application Number: 16/580,764 Filing Date: 2019-09-24 Inventor: Deadwyler, Sam   Hampson, Robert E.   Witcher, Mark R.   Couture, Daniel E.   Popli, Gautam   Tatter, Stephen   Ellis, Thomas L.   Assignee: Wake Forest University Health Sciences   IPC: A61N1/36 Abstract: The present invention provides methods and devices for improving cognitive function. In some embodiments, cognitive function is improved by detecting neuronal activity in the CA3 region of a patient's hippocampus and stimulating the CA3 region of the patient's hippocampus responsive to the neuronal activity detected. The present invention provides methods and devices for improving cognitive function. In some embodiments, cognitive function is improved by detecting neuronal activity in the CA3 region of a patient's hippocampus and stimulating the CA3 region of the patient's hippocampus ...More Less
20 US2020069208A1
MULTIPLE FREQUENCY NEUROFEEDBACK BRAIN WAVE TRAINING TECHNIQUES, SYSTEMS, AND METHODS
Publication/Patent Number: US2020069208A1 Publication Date: 2020-03-05 Application Number: 16/044,494 Filing Date: 2018-07-24 Inventor: Keane, Christopher   Assignee: Keane, Christopher   IPC: A61B5/0482 Abstract: Methods, systems, and techniques for providing neurofeedback and for training brain wave function are provided. Example embodiments provide a Brain Training Feedback System (“BTFS”), which enables participants involved in brain training activities to learn to evoke/increase or suppress/inhibit certain brain wave activity based upon the desired task at hand. In one embodiment, the BTFS provides a brain/computer interaction feedback loop which monitors and measures EEG signals (brain activity) received from participant and provides feedback to participant. The BTFS may use an FFT based system or machine learning engines to deconstruct and classify brain wave signals. The machine learning based BTFS enable optimized feedback and rewards, adaptive feedback, and an ability to trigger interventions to assist in desired brain transitions. Methods, systems, and techniques for providing neurofeedback and for training brain wave function are provided. Example embodiments provide a Brain Training Feedback System (“BTFS”), which enables participants involved in brain training activities to learn to ...More Less