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1 CN211094096U
一种具有防误碰功能的生物反馈测试仪
Valid
Publication/Patent Number: CN211094096U Publication Date: 2020-07-28 Application Number: 201921249155.3 Filing Date: 2019-08-02 Inventor: 张杰   Assignee: 荣格健康管理咨询(天津)有限公司   IPC: A61B5/0482 Abstract: 本实用新型提供一种具有防误碰功能的生物反馈测试仪,包括底座,防护座,支撑板,测试仪,折叠密封取样储存查看架,密封防护罩结构,防护片,防误碰人体感应灯,防护壳,透气板,滚子轴承和扇叶,所述的防护座螺栓连接在底座的上部;所述的支撑板螺栓连接在防护座的上部;所述的测试仪螺栓连接在支撑板的上部;所述的折叠密封取样储存查看架设置在底座正表面的右侧。本实用新型固定壳,防护盒,通孔,密封盒,密封盖,观察固定夹,调节杆,观察片和握柄的设置,有利于对徐测试的生物进行取样留存;防护箱,防护门,把手,防滑套,合页和防尘罩的设置,有利于对测试仪进行防护。
2 CN211094097U
一种便携式大学生生物反馈测试仪
Valid
Publication/Patent Number: CN211094097U Publication Date: 2020-07-28 Application Number: 201921266979.1 Filing Date: 2019-08-06 Inventor: 张杰   Assignee: 荣格健康管理咨询(天津)有限公司   IPC: A61B5/0482 Abstract: 本实用新型提供一种便携式大学生生物反馈测试仪,包括防护座,连接板,固定板,测试仪,升降调节移动杆结构,调节夹持收纳盒结构,调节管,摄像机夹持架,防护片,支撑板,防护杆和放大片,所述的连接板螺栓连接在防护座的上部;所述的固定板螺栓连接在连接板的上部;所述的测试仪螺栓连接在固定板的上部;所述的升降调节移动杆结构设置在测试仪左侧的中间位置。本实用新型防护板,固定块,收纳管,运送推杆,调节螺栓,移动握柄和防滑套的设置,有利于对测试仪进行移动;防护管,抽拉板,把手,锁紧螺栓,防护壳,抽拉盒,防护绳,夹持夹和握把的设置,有利于对待检验测试的生物进行放置。
3 CN106974648B
基于时域及频域空间的脑电放松度识别方法及装置
Valid
Title (English): A method and device for recognition of EEG release based on time domain and frequency domain space
Publication/Patent Number: CN106974648B Publication Date: 2020-02-14 Application Number: 201710187188.9 Filing Date: 2017-03-27 Inventor: 胡静   赵巍   Assignee: 广州视源电子科技股份有限公司   广州希科医疗器械科技有限公司   IPC: A61B5/0482 Abstract: 本发明公开了一种基于时域及频域空间的脑电放松度识别方法及装置,所述方法包括:对待处理脑电序列信号进行滤波,提取出信号波;对各个信号波进行切片,计算信号波在对应的切片的y轴上的投影的最大值和最小值,根据最大值及最小值形成至少两个等长度的区间,并根据位于各个区间的投影的数量,得到信号波的栅条投影变异度,获得在时域空间的特征量;计算信号波的能量,根据各个脑电波的频率范围及信号波的能量,计算任意两个信号波之间的能量比率,获得在频域空间的特征量;对在时域空间的特征量及在频域空间的特征量进行分类识别,得到脑电放松度。本发明可提取各个脑电波的不同维度和空间的特征量,从而实现准确的脑电放松度识别。
4 DE102018118277A1
Verfahren für ein Neurofeedbacktraining
Publication/Patent Number: DE102018118277A1 Publication Date: 2020-01-30 Application Number: 102018118277 Filing Date: 2018-07-27 Inventor: Langer, Robert   Döring, Konrad Willi   Assignee: Neurosphere UG (haftungsbeschränkt)   IPC: A61B5/0482 Abstract: Die vorliegende Erfindung betrifft ein Verfahren zur Durchführung eines Neurofeedbacktrainings mit den Verfahrensschritten Kalibrierung, Erfassen von EEG-Wellen, wellenlängenspezifische Analyse von EEG-Wellen, Generierung eines Feedbacksignals, Ausgabe des generierten Feedbacksignals, wobei vor der Generierung des Feedbacksignals eine Baseline festgelegt wird, wobei die Baseline während der Durchführung des Neurofeedbacktrainings automatisch angepasst wird.
5 WO2020006275A1
WEARABLE SYSTEM FOR BRAIN HEALTH MONITORING AND SEIZURE DETECTION AND PREDICTION
Publication/Patent Number: WO2020006275A1 Publication Date: 2020-01-02 Application Number: 2019039570 Filing Date: 2019-06-27 Inventor: Alves, David   De, Jesus Alves Ana Margarida   Razavi, Babak   Assignee: CORTEXXUS INC.   IPC: A61B5/0482 Abstract: The present disclosure provides for monitoring brain health and predicting and detecting seizures via a wearable device. An exemplary device includes a plurality of electrodes, a wireless communication element, and an eyeglass frame. The electrodes measure (electroencephalogram) EEG data from a human brain. The eyeglass frame houses the wireless communication element and the plurality of electrodes.
6 US2020305752A1
SYSTEM AND METHOD FOR NEUROFEEDBACK TRAINING THAT UTILIZES ANIMAL IN THE FEEDBACK LOOP
Publication/Patent Number: US2020305752A1 Publication Date: 2020-10-01 Application Number: 16/754,292 Filing Date: 2018-10-02 Inventor: Maletic, Marin   Assignee: UMO NEUROSCIENCE d.o.o.   IPC: A61B5/0482 Abstract: The invention discloses a method of operating a system for neurofeedback (NFB) that includes trained animal in a feedback chain. Feedback chain consists of the following steps: A->B->C->D->A wherein said steps are: A. real time recording of the subject's EEG performed by the user module and forwarded to the mobile module; B. analytics of the recorded signal performed by the mobile module and algorithmic decisioning about the stimulation form; C. forwarding the stimulation towards the animal by using of one or more ultrasonic speakers simultaneously wherein the information needed for the animal performance is forwarded in the form of a coded ultrasonic signal; and D. performing of a learned action by the animal triggered by the received ultrasonic signal from the step C which provides a stimulus to the subject exposed to the NBF training.
7 CN111436931A
一种脑电生物反馈诊断治疗仪
Under Examination
Publication/Patent Number: CN111436931A Publication Date: 2020-07-24 Application Number: 202010244351.2 Filing Date: 2020-03-31 Inventor: 宣煦   Assignee: 昆明医科大学第一附属医院   IPC: A61B5/0476 Abstract: 一种脑电生物反馈诊断治疗仪,包括脑电数据采集系统、脑电数据分析系统和脑电治疗系统,脑电数据采集系统和脑电治疗系统与脑电数据分析系统连接,脑电数据采集系统包括头皮电极、脑电采集模块、低通滤波器和数据采集卡,头皮电极与脑电采集模块连接,脑电采集模块与低通滤波器连接,低通滤波器与数据采集卡连接,脑电数据分析系统包括高性能计算机,高性能计算机中存储有脑病疾病的若干种脑波数据库,脑电治疗系统包括电磁脉冲仪和检测治疗头盔。该治疗仪集诊断、治疗于一体,减少设备的数量,降低患者的治疗成本,且减少了操作者的工作量,提供了设备的工作效率。
8 CN111887845A
一种基于EEG神经反馈注意力调节系统
Under Examination
Publication/Patent Number: CN111887845A Publication Date: 2020-11-06 Application Number: 202010755111.9 Filing Date: 2020-07-31 Inventor: 程昭立   伏云发   吴帆   王晓琳   Assignee: 昆明理工大学   IPC: A61B5/0482 Abstract: 本发明公开了一种基于EEG神经反馈注意力调节系统,包括EEG信号采集模块、EEG信号处理模块和神经反馈控制模块。本发明非侵入式的EEG信号采集对人体无损伤且效果显著,克服了现有的药物治疗方法副作用大,以及行为、心理治疗方法疗效甚微等问题,同时EEG信号时间分辨率高,对实时性能的表现较好;通过采集被试EEG信号,从而使得对大脑活跃区域的定位结果更加准确;通过视屏显示和语音输出训练结果,被试更加直接明了的得到训练情况并有助于调整下次训练;EEG信号采集及处理过程具有省时简单、分析速度快、成本低、结果重现性好等特点。训练系统功能齐全简单,极大的提高了被试体验。
9 CN211094098U
一种带有固定结构的生物反馈手持测试仪
Valid
Publication/Patent Number: CN211094098U Publication Date: 2020-07-28 Application Number: 201921270299.7 Filing Date: 2019-08-08 Inventor: 张杰   Assignee: 荣格健康管理咨询(天津)有限公司   IPC: A61B5/0482 Abstract: 本实用新型提供一种带有固定结构的生物反馈手持测试仪,包括测试仪,检测杆,检测头,测试仪多重固定绑带结构,检测数据记录板防护夹持夹结构,透气板,连接架,防护壳,转轴,扇叶,防护垫和安装块,所述的检测杆螺栓连接在安装块右侧的中间位置;所述的检测头螺栓连接在检测杆的右侧;所述的测试仪多重固定绑带结构设置在测试仪后表面下部的中间位置。本实用新型安装片,左绑带,魔术子贴,右绑带,魔术母贴,左连接带,卡扣,右连接带和插扣的设置,有利于对需要使用的测试仪进行固定;固定片,安装孔,连接绳,夹持夹,防护簧和防护片的设置,有利于对记录检测数据的记录板进行固定。
10 EP3589356A1
TRANSCRANIAL STIMULATION WITH REAL-TIME MONITORING
Publication/Patent Number: EP3589356A1 Publication Date: 2020-01-08 Application Number: 17781631.1 Filing Date: 2017-04-10 Inventor: Fitzgerald, Paul B.   Sullivan, Caley   Thomson, Richard H.   Assignee: Monash University   IPC: A61N1/36
11 CN111657868A
麻醉深度监测仪
Under Examination
Publication/Patent Number: CN111657868A Publication Date: 2020-09-15 Application Number: 202010615734.6 Filing Date: 2020-06-30 Inventor: 孙宜平   叶永孝   温新生   Assignee: 深圳市医百生物科技有限公司   IPC: A61B5/00 Abstract: 本申请公开了一种麻醉深度监测仪,该麻醉深度监测仪包括检测模块,用于检测麻醉深度;显示模块,用于显示检测出的数据;触屏模块,用于接收用户的指示信息,并将所述指示信息在所述显示模块上进行显示;主板,所述检测模块、所述显示模块以及所述触屏模块与所述主板相耦接;其中,还包括监测模块,用于监测所述主板所接收的高频干扰信号是否超过阈值。通过上述方式,本申请提供一种麻醉深度监测仪,该麻醉深度监测仪包括检测模块、显示模块、触屏模块以及监测模块,监测模块的设置可以实时确保麻醉深度监测仪始终处于正常的工作状态,以使得外来的信号不会对麻醉深度监测仪的工作产生干扰,进而确保麻醉深度监测仪工作的准确性。
12 US2020188697A1
SYSTEMS AND METHODS FOR A WEARABLE DEVICE INCLUDING STIMULATION AND MONITORING COMPONENTS
Publication/Patent Number: US2020188697A1 Publication Date: 2020-06-18 Application Number: 16/714,570 Filing Date: 2019-12-13 Inventor: Kabrams, Eric   Camara, Jose   Kaye-kauderer, Owen   Leffell, Alexander B.   Rothberg, Jonathan M.   Arienzo, Maurizio   Firouzi, Kamyar   Assignee: EpilepsyCo Inc.   IPC: A61N7/00 Abstract: In some aspects, a device wearable by or attached to or implanted within a person includes a sensor configured to detect a signal from the brain of the person and a transducer configured to apply to the brain an acoustic signal.
13 US2020188698A1
SYSTEMS AND METHODS FOR A WEARABLE DEVICE FOR SUBSTANTIALLY NON-DESTRUCTIVE ACOUSTIC STIMULATION
Publication/Patent Number: US2020188698A1 Publication Date: 2020-06-18 Application Number: 16/714,580 Filing Date: 2019-12-13 Inventor: Kabrams, Eric   Camara, Jose   Kaye-kauderer, Owen   Leffell, Alexander B.   Rothberg, Jonathan M.   Arienzo, Maurizio   Firouzi, Kamyar   Assignee: EpilepsyCo Inc.   IPC: A61N7/00 Abstract: In some aspects, a device wearable by a person includes a sensor configured to detect a signal from the brain of the person and a transducer configured to apply to the brain an ultrasound signal. The ultrasound signal has a low power density and is substantially non-destructive with respect to tissue when applied to the brain.
14 CN111728610A
一种闭环认知反馈形式的脑电神经反馈系统
Under Examination
Publication/Patent Number: CN111728610A Publication Date: 2020-10-02 Application Number: 202010562382.2 Filing Date: 2020-06-18 Inventor: 卜俊杰   何长乐   Assignee: 安徽医科大学   IPC: A61B5/0482 Abstract: 本发明公开了一种闭环认知反馈形式的脑电神经反馈系统,涉及认知神经科学和生物医学工程相结合技术领域,具体方案为:包括脑电采集模块、脑电分析模块和反馈模块;脑电采集模块用于采集受试者在相应认知实验任务下的头皮脑电信号;脑电分析模块用于对采集的脑电信号进行预处理,并针对的提取认知活动信号特征,并利用机器学习模型建立相关特征脑活动信号与认知心理行为之间的关系,并建立相应的预测模型;其中,认知活动信号特征至少包括脑电的特定导联下的事件相关电位幅度信息,事件相关频率的能量信息和事件相关频率的相位信息,本发明能够进一步提高受试者在脑电神经反馈训练中的调节控制能力达到更加有效的改善认知能力的结果。
15 WO2020023232A1
MULTIPLE FREQUENCY NEUROFEEDBACK BRAIN WAVE TRAINING TECHNIQUES, SYSTEMS, AND METHODS
Publication/Patent Number: WO2020023232A1 Publication Date: 2020-01-30 Application Number: 2019041722 Filing Date: 2019-07-12 Inventor: Keane, Christopher   Assignee: KEANE, Christopher   IPC: G09B5/00 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.
16 US10524683B2
EEG-based brain-machine interface apparatus and method for recognizing human-intention using flickering visual stimulus
Publication/Patent Number: US10524683B2 Publication Date: 2020-01-07 Application Number: 14/884,972 Filing Date: 2015-10-16 Inventor: Min, Byoung-kyong   Assignee: Korea University Research and Business Foundation   IPC: A61B5/0484 Abstract: A brain-machine interface apparatus and a method of the same are provided. To elaborate the brain-machine interface apparatus may include a display where a plurality of light-emitting points (or lines) flickering with their individual set frequencies are arranged a flickering controller that divides the plurality of the light-emitting points (or lines) into a plurality of groups, and sets the set frequencies for the groups; an EEG measurement unit that detects EEG signals of a user who watches the display without gaze-shift; a frequency detector that detects one or more (their harmonic or combination) frequency components from the measured EEG signals; a shape analysis unit that decodes an originally intended shape according to the user's imagination based on the one or more detected frequency components and the set frequencies; and a result output unit that outputs information of the embodied originally intended shape.
17 US2020178875A1
PREDICTIVE NEUROMARKERS OF ALZHEIMER'S DISEASE
Publication/Patent Number: US2020178875A1 Publication Date: 2020-06-11 Application Number: 16/099,102 Filing Date: 2017-05-04 Inventor: Ojeda, David   Barthelemy, Quentin   Mayaud, Louis   Assignee: MENSIA TECHNOLOGIES   IPC: A61B5/00 Abstract: The present invention relates to a computer-implemented method for computing a neuromarker of Alzheimer's disease comprising the steps of obtaining at least one spectral feature from EEG signals of a subject; obtaining at least one Riemannian distance between a spatiofrequential covariance matrix computed from the EEG signals of said subject and at least one reference spatiofrequential covariance matrix; and combining said at least one spectral feature and said at least one Riemannian distance in a mathematical function. The present invention also relates to a method for self-paced modulation of EEG signals of a subject in order to alleviate symptoms of Alzheimer's disease using the predictive neuromarkers of Alzheimer's disease.
18 US10524682B2
System and method for determining and displaying sleep restoration levels
Publication/Patent Number: US10524682B2 Publication Date: 2020-01-07 Application Number: 15/319,091 Filing Date: 2015-06-25 Inventor: Garcia, Molina Gary Nelson   Laura, Lapoint Manuel   Assignee: KONINKLIJKE PHILIPS N.V.   IPC: A61B5/00 Abstract: The present disclosure pertains to a system and method for determining and displaying a sleep restoration level of a subject for a target sleep session. In some embodiments, the system comprises one or more of a sensor, a processor, electronic storage, a user interface, and/or other components. As the subject sleeps, the system is configured to determine a metric indicating sleep need for the subject and then graphically display a sleep restoration level (a visual representation of the metric indicating sleep need) based on the determined sleep need metric. Instead of assuming common parameters for multiple users, the system is configured to determine the sleep need metric based on obtained baseline sleep parameters that have been determined individually for the subject based on one or more previous sleep sessions, a determined amount of slow wave activity in the subject during the target sleep session, and/or other information.
19 US10758149B2
Neurofeedback system
Publication/Patent Number: US10758149B2 Publication Date: 2020-09-01 Application Number: 14/421,041 Filing Date: 2013-08-12 Inventor: Mihajlovic, Vojkan   Assignee: KONINKLIJKE PHILIPS N.V.   IPC: A61B5/0482 Abstract: The present invention relates to a neurofeedback system that comprises an electrode (2, 2′, 2″) for contacting skin (6) of a user (7) for measuring a biofeedback signal (9) of the user (7), a first signal processing unit (3) for determining a signal characteristic (11) of the measured biofeedback signal (9), wherein the signal characteristic (11) represents a neurofeedback, a second signal processing unit (4) for determining a biofeedback signal quality (12) of the measured biofeedback signal (9) by extracting a signal feature of the measured biofeedback signal (9) and calculating a probability of a measurement error for said signal feature, which probability represents the biofeedback signal quality (12), and a feedback unit (5) for providing feedback to the user, wherein the feedback comprises the neurofeedback and a feedback about the biofeedback signal quality (12). A further aspect of the invention relates to a method for supporting a behavior change of a person and a computer program for carrying out said method.
20 US2020100726A1
METHOD, SYSTEM AND COMPUTER PROGRAM TO MEASURE IN REAL-TIME THE PHASE OF A PSEUDO-PERIODIC PHYSIOLOGICAL SIGNAL OF A USER
Publication/Patent Number: US2020100726A1 Publication Date: 2020-04-02 Application Number: 16/621,397 Filing Date: 2018-06-11 Inventor: Mercier, Hugo   Soulet, De Brugiere Quentin   Kalifa, Jérôme   Galtier, Mathieu   Pineaud, Clémence   Dehaene, David   Assignee: DREEM   IPC: A61B5/00 Abstract: According to the method to measure in real-time the phase of a pseudo-periodic physiological signal of a user: one provides a physiological signal of the user;—a trigonometric function determination module of a processor determines parameters of a trigonometric function, which minimize a distance between the physiological signal and the trigonometric function on the time interval ]ta; tb[; and—a phase determination module of a processor determines the phase of the physiological signal at time tb based on the phase of the trigonometric function at time tb.