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1. 发明申请

US20150327813A1 METHOD FOR PROCESSING BRAINWAVE SIGNALS 审中-公开
标题翻译：处理脑信号的方法
公开(公告)号：US20150327813A1
公开(公告)日：2015-11-19
申请号：US14814364
申请日：2015-07-30
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： A61B5/00 , A61B5/0478 , A61N2/02 , A61N2/00 , A61B5/0484 , A61B5/0402 , A61N5/10 , A61N5/02 , A61N1/40 , A61N7/00 , A61B5/04 , A61N1/36
CPC分类号： A61B5/0476 , A61B5/0042 , A61B5/0075 , A61B5/04009 , A61B5/04012 , A61B5/0402 , A61B5/0478 , A61B5/0484 , A61B5/165 , A61B5/4836 , A61B5/6803 , A61B5/7203 , A61B5/726 , A61B5/7264 , A61B2560/0214 , A61B2562/046 , A61B2562/14 , A61B2576/026 , A61N1/0408 , A61N1/0456 , A61N1/0476 , A61N1/0526 , A61N1/36014 , A61N1/36021 , A61N1/36025 , A61N1/40 , A61N2/006 , A61N2/008 , A61N2/02 , A61N5/02 , A61N5/10 , A61N7/00 , G06F19/00 , G06F19/3481 , G16H50/20
摘要： A signal processing method and system combines multi-scale decomposition, such as wavelet, pre-processing together with a compression technique, such as an auto-associative artificial neural network, operating in the multi-scale decomposition domain for signal denoising and extraction. All compressions are performed in the decomposed domain. A reverse decomposition such as an inverse discrete wavelet transform is performed on the combined outputs from all the compression modules to recover a clean signal back in the time domain. A low-cost, non-drug, non-invasive, on-demand therapy braincap system and method are pharmaceutically nonintrusive to the body for the purpose of disease diagnosis, treatment therapy, and direct mind control of external devices and systems. It is based on recognizing abnormal brainwave signatures and intervenes at the earliest moment, using magnetic and/or electric stimulations to reset the brainwaves back to normality. The feedback system is self-regulatory and the treatment stops when the brainwaves return to normal. The braincap contains multiple sensing electrodes and microcoils; the microcoils are pairs of crossed microcoils or 3-axis triple crossed microcoils.
摘要翻译：一种信号处理方法和系统将诸如小波，预处理的多尺度分解与诸如自相关人造神经网络的压缩技术相结合，在多尺度分解域中操作用于信号去噪和提取。所有的压缩都是在分解域中进行的。对来自所有压缩模块的组合输出执行反向分解，例如反向离散小波变换，以在时域中恢复干净的信号。低成本，非药物，非侵入性，按需治疗脑盖系统和方法是药物非侵入性的身体，用于疾病诊断，治疗治疗和外部设备和系统的直接心理控制。它基于识别异常脑波特征并在最早的时刻进行干预，使用磁刺激和/或电刺激将脑电波重置为正常。反馈系统是自我监管的，治疗在脑电波恢复正常时停止。脑盖包含多个感测电极和微线圈; 微线圈是交叉的微线圈或3轴三重交叉微线圈的对。

2. 发明授权

US09037224B1 Apparatus for treating a patient 有权
标题翻译：用于治疗患者的装置
公开(公告)号：US09037224B1
公开(公告)日：2015-05-19
申请号：US12804936
申请日：2010-08-02
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： A61B5/04 , A61B5/0476 , G06N3/08 , A61N1/04
CPC分类号： A61B5/4836 , A61B5/0476 , A61B5/0488 , A61B5/4082 , A61B5/4088 , A61B5/4094 , A61B5/4839 , A61B5/7203 , A61B5/7214 , A61B5/7246 , A61B5/726 , A61B5/7264 , A61F7/00 , A61F7/007 , A61F2007/0094 , A61M5/1723 , A61N1/0408 , A61N1/0456 , A61N1/0476 , A61N1/0526 , A61N1/303 , A61N1/36014 , A61N1/36025 , A61N2/006 , A61N2/008 , A61N2/02 , G06F3/015
摘要： A signal processing method and system combines multi-scale decomposition, such as wavelet, pre-processing together with a compression technique, such as an auto-associative artificial neural network, operating in the multi-scale decomposition domain for signal denoising and extraction. All compressions are performed in the decomposed domain. A reverse decomposition such as an inverse discrete wavelet transform is performed on the combined outputs from all the compression modules to recover a clean signal back in the time domain. A low-cost, non-drug, non-invasive, on-demand therapy braincap system and method are pharmaceutically non-intrusive to the body for the purpose of disease diagnosis, treatment therapy, and direct mind control of external devices and systems. It is based on recognizing abnormal brainwave signatures and intervenes at the earliest moment, using magnetic and/or electric stimulations to reset the brainwaves back to normality. The feedback system is self-regulatory and the treatment stops when the brainwaves return to normal. The braincap contains multiple sensing electrodes and microcoils; the microcoils are pairs of crossed microcoils or 3-axis triple crossed microcoils.
摘要翻译：一种信号处理方法和系统将诸如小波，预处理的多尺度分解与诸如自相关人造神经网络的压缩技术相结合，在多尺度分解域中操作用于信号去噪和提取。所有的压缩都是在分解域中进行的。对来自所有压缩模块的组合输出执行反向分解，例如反向离散小波变换，以在时域中恢复干净的信号。低成本，非药物，非侵入性，按需治疗脑栓塞系统和方法是药物非侵入性的身体，用于疾病诊断，治疗治疗和外部设备和系统的直接心理控制。它基于识别异常脑波特征并在最早的时刻进行干预，使用磁刺激和/或电刺激将脑电波重置为正常。反馈系统是自我监管的，治疗在脑电波恢复正常时停止。脑盖包含多个感测电极和微线圈; 微线圈是交叉的微线圈或3轴三重交叉微线圈的对。

3. 发明授权

US07519488B2 Signal processing method and system for noise removal and signal extraction 失效
标题翻译：用于噪声去除和信号提取的信号处理方法和系统
公开(公告)号：US07519488B2
公开(公告)日：2009-04-14
申请号：US11142049
申请日：2005-05-31
申请人： Chi Yung Fu , Loren Petrich
发明人： Chi Yung Fu , Loren Petrich
IPC分类号： G06F19/00 , G01R13/00 , G01R29/26
CPC分类号： G06K9/00516
摘要： A signal processing method and system combining smooth level wavelet pre-processing together with artificial neural networks all in the wavelet domain for signal denoising and extraction. Upon receiving a signal corrupted with noise, an n-level decomposition of the signal is performed using a discrete wavelet transform to produce a smooth component and a rough component for each decomposition level. The nth level smooth component is then inputted into a corresponding neural network pre-trained to filter out noise in that component by pattern recognition in the wavelet domain. Additional rough components, beginning at the highest level, may also be retained and inputted into corresponding neural networks pre-trained to filter out noise in those components also by pattern recognition in the wavelet domain. In any case, an inverse discrete wavelet transform is performed on the combined output from all the neural networks to recover a clean signal back in the time domain.
摘要翻译：一种信号处理方法和系统，将平滑级小波预处理与人造神经网络结合起来，全部在小波域中进行信号去噪和提取。在接收到具有噪声损坏的信号时，使用离散小波变换来执行信号的n级分解，以产生每个分解级别的平滑分量和粗略分量。然后将第n级平滑分量输入到预先训练的相应神经网络中，以通过小波域中的模式识别来滤除该分量中的噪声。从最高级开始的附加粗糙分量也可以被保留并输入到预先训练的相应神经网络中，以通过小波域中的模式识别滤除那些分量中的噪声。在任何情况下，对来自所有神经网络的组合输出执行逆离散小波变换，以在时域中恢复干净的信号。

4. 发明授权

US07076371B2 Non-invasive diagnostic and monitoring method and apparatus based on odor detection 失效
标题翻译：基于气味检测的非侵入式诊断和监测方法及装置
公开(公告)号：US07076371B2
公开(公告)日：2006-07-11
申请号：US10087049
申请日：2002-03-02
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： G01N33/48 , G06F19/00 , G06G7/58
CPC分类号： A61B5/082 , A61B5/14532 , A61B5/411 , A61B5/7267 , G01N33/497 , G01N33/50 , Y02A90/26
摘要： A set of volatile markers are determined which are characteristic of a particular condition or disease, and which will be found in the exhaled breath of a person or odor from other parts of a body or from an entity. These markers are detected in the breath odor or gaseous emanations from the body or entity noninvasively using a volatile substance detector of sufficient sensitivity, such as an artificial olfactory system. The detected marker data is processed in an artificial neural network/fuzzy filter system with an algorithm that intelligently adapts to the individual body or entity and also optionally (if necessary) with a correction algorithm to eliminate environmental and other erroneous contributions to the markers. Any number of markers may be used, depending on how well they correlate with the condition and how accurate a result is desired, i.e. general screening or accurate diagnosis and monitoring.
摘要翻译：确定一组挥发性标记物，这些挥发性标记物是特定病症或疾病的特征，并且将在人的呼出呼气或身体其他部位或实体的气味中发现。使用具有足够灵敏度的挥发性物质检测器（例如人造嗅觉系统），以身体或实体非侵入性的呼吸气味或气体发射来检测这些标记。检测到的标记数据在具有智能地适应于个体或实体的算法的人造神经网络/模糊滤波器系统中处理，并且还可选地（如果需要）使用校正算法来消除对标记的环境和其他错误贡献。可以使用任何数量的标记，这取决于它们与条件的关系以及期望结果的准确程度，即一般筛选或准确的诊断和监测。

5. 发明授权

US10080506B2 Method for processing brainwave signals 有权
公开(公告)号：US10080506B2
公开(公告)日：2018-09-25
申请号：US14814364
申请日：2015-07-30
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： A61B5/04 , A61B5/0476 , A61N1/04 , A61B5/00 , A61N2/00 , A61N1/36 , A61B5/0402 , A61N5/10 , A61N5/02 , A61N1/40 , A61N7/00 , A61B5/0484 , A61N2/02 , A61B5/0478 , G06F19/00 , G16H50/20 , A61N1/05 , A61B5/16
CPC分类号： A61B5/0476 , A61B5/0042 , A61B5/0075 , A61B5/04009 , A61B5/04012 , A61B5/0402 , A61B5/0478 , A61B5/0484 , A61B5/165 , A61B5/4836 , A61B5/6803 , A61B5/7203 , A61B5/726 , A61B5/7264 , A61B2560/0214 , A61B2562/046 , A61B2562/14 , A61B2576/026 , A61N1/0408 , A61N1/0456 , A61N1/0476 , A61N1/0526 , A61N1/36014 , A61N1/36021 , A61N1/36025 , A61N1/40 , A61N2/006 , A61N2/008 , A61N2/02 , A61N5/02 , A61N5/10 , A61N7/00 , G06F19/00 , G06F19/3481 , G16H20/40 , G16H50/20 , G16Z99/00
摘要： A signal processing method and system combines multi-scale decomposition, such as wavelet, pre-processing together with a compression technique, such as an auto-associative artificial neural network, operating in the multi-scale decomposition domain for signal denoising and extraction. All compressions are performed in the decomposed domain. A reverse decomposition such as an inverse discrete wavelet transform is performed on the combined outputs from all the compression modules to recover a clean signal back in the time domain. A low-cost, non-drug, non-invasive, on-demand therapy braincap system and method are pharmaceutically nonintrusive to the body for the purpose of disease diagnosis, treatment therapy, and direct mind control of external devices and systems. It is based on recognizing abnormal brainwave signatures and intervenes at the earliest moment, using magnetic and/or electric stimulations to reset the brainwaves back to normality. The feedback system is self-regulatory and the treatment stops when the brainwaves return to normal. The braincap contains multiple sensing electrodes and microcoils; the microcoils are pairs of crossed microcoils or 3-axis triple crossed microcoils.

6. 发明授权

US08690748B1 Apparatus for measurement and treatment of a patient 有权
标题翻译：用于测量和治疗患者的装置
公开(公告)号：US08690748B1
公开(公告)日：2014-04-08
申请号：US12804941
申请日：2010-08-02
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： A61N1/00 , A61B5/04
CPC分类号： A61N1/0456 , A61B5/0476 , A61B5/0488 , A61B5/4064 , A61B5/7203 , A61N1/0476 , A61N1/0484 , A61N1/36025
摘要： A signal processing method and system combines multi-scale decomposition, such as wavelet, pre-processing together with a compression technique, such as an auto-associative artificial neural network, operating in the multi-scale decomposition domain for signal denoising and extraction. All compressions are performed in the decomposed domain. A reverse decomposition such as an inverse discrete wavelet transform is performed on the combined outputs from all the compression modules to recover a clean signal back in the time domain. A low-cost, non-drug, non-invasive, on-demand therapy braincap system and method are pharmaceutically non-intrusive to the body for the purpose of disease diagnosis, treatment therapy, and direct mind control of external devices and systems. It is based on recognizing abnormal brainwave signatures and intervenes at the earliest moment, using magnetic and/or electric stimulations to reset the brainwaves back to normality. The feedback system is self-regulatory and the treatment stops when the brainwaves return to normal. The braincap contains multiple sensing electrodes and microcoils; the microcoils are pairs of crossed microcoils or 3-axis triple crossed microcoils.
摘要翻译：一种信号处理方法和系统将诸如小波，预处理的多尺度分解与诸如自相关人造神经网络的压缩技术相结合，在多尺度分解域中操作用于信号去噪和提取。所有的压缩都是在分解域中进行的。对来自所有压缩模块的组合输出执行反向分解，例如反向离散小波变换，以在时域中恢复干净的信号。低成本，非药物，非侵入性，按需治疗脑栓塞系统和方法是药物非侵入性的身体，用于疾病诊断，治疗治疗和外部设备和系统的直接心理控制。它基于识别异常脑波特征并在最早的时刻进行干预，使用磁刺激和/或电刺激将脑电波重置为正常。反馈系统是自我监管的，治疗在脑电波恢复正常时停止。脑盖包含多个感测电极和微线圈; 微线圈是交叉的微线圈或3轴三重交叉微线圈的对。

7. 发明申请

US20060104864A1 Ultrasensitive olfactory system fabrication with doped aerogels 失效
标题翻译：超声敏感嗅觉系统制造掺杂气凝胶
公开(公告)号：US20060104864A1
公开(公告)日：2006-05-18
申请号：US11281048
申请日：2005-11-16
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： G01N33/00
CPC分类号： G01N33/0034 , G01N33/54386 , Y10T436/25875
摘要： An array of sensor elements is formed by the incorporation of sensing materials into porous structures, creating sensing systems with extremely large surface areas with sensing molecules attached to mimic the large number of cilia of an olfactory system. In each sensor element, the sensing material or molecules are attached to spacer molecules or groups, which are attached to linker molecules or groups, which are attached to the porous substrate material. More specifically, a porphyrin doped aerogel material is used. The porphyrin sensing material is attached to the aerogel throughout its high surface area pore space. The porphyrin is covalently bonded to the silica network of the aerogel with a triethoxysilyl group linker that covalently attaches to the aerogel, and an alkyl group spacer.
摘要翻译：通过将感测材料结合到多孔结构中形成传感器元件阵列，创建具有极大表面积的感测系统，其中附着感测分子以模拟嗅觉系统的大量纤毛。在每个传感器元件中，感测材料或分子连接到间隔物分子或基团，其连接到连接到多孔基底材料的连接体分子或基团上。更具体地，使用卟啉掺杂气凝胶材料。卟啉感测材料在其高表面积孔隙空间附着到气凝胶。卟啉与气凝胶的二氧化硅网络共价键合，其中三乙氧基甲硅烷基基团共价连接到气凝胶和烷基间隔基上。

8. 发明申请

US20190059771A1 METHOD FOR PROCESSING BRAINWAVE SIGNALS 审中-公开
公开(公告)号：US20190059771A1
公开(公告)日：2019-02-28
申请号：US16140459
申请日：2018-09-24
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： A61B5/0476 , G06F19/00 , G16H20/40 , A61N5/10 , A61N5/02 , A61N2/02 , A61N2/00 , A61N1/40 , A61N1/36 , A61N7/00 , G16H50/20 , A61B5/00 , A61B5/04 , A61B5/0402 , A61B5/0478 , A61B5/0484 , A61N1/04 , A61N1/05 , A61B5/16
摘要： A signal processing method and system combines multi-scale decomposition, such as wavelet, pre-processing together with a compression technique, such as an auto-associative artificial neural network, operating in the multi-scale decomposition domain for signal denoising and extraction. All compressions are performed in the decomposed domain. A reverse decomposition such as an inverse discrete wavelet transform is performed on the combined outputs from all the compression modules to recover a clean signal back in the time domain. A low-cost, non-drug, non-invasive, on-demand therapy braincap system and method are pharmaceutically nonintrusive to the body for the purpose of disease diagnosis, treatment therapy, and direct mind control of external devices and systems. It is based on recognizing abnormal brainwave signatures and intervenes at the earliest moment, using magnetic and/or electric stimulations to reset the brainwaves back to normality. The feedback system is self-regulatory and the treatment stops when the brainwaves return to normal. The braincap contains multiple sensing electrodes and microcoils; the microcoils are pairs of crossed microcoils or 3-axis triple crossed microcoils.

9. 发明申请

US20150257700A1 APPARATUS FOR TREATING A PATIENT 审中-公开
标题翻译：用于治疗患者的装置
公开(公告)号：US20150257700A1
公开(公告)日：2015-09-17
申请号：US14715498
申请日：2015-05-18
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： A61B5/00 , A61N1/30 , G06F3/01 , A61F7/00 , A61B5/0476 , A61N2/02 , A61M5/172 , A61N2/00
CPC分类号： A61B5/4836 , A61B5/0476 , A61B5/0488 , A61B5/4082 , A61B5/4088 , A61B5/4094 , A61B5/4839 , A61B5/7203 , A61B5/7214 , A61B5/7246 , A61B5/726 , A61B5/7264 , A61F7/00 , A61F7/007 , A61F2007/0094 , A61M5/1723 , A61N1/0408 , A61N1/0456 , A61N1/0476 , A61N1/0526 , A61N1/303 , A61N1/36014 , A61N1/36025 , A61N2/006 , A61N2/008 , A61N2/02 , G06F3/015
摘要： At least one embodiment of the disclosure is directed to a method for processing brainwave signals for treating a patient having neurological disorder or mental disorder or a combination of neurological and mental disorder. The method comprises: measuring a brainwave signal from the patient, the measured brainwave signal containing noise; denoising the brainwave signal to obtain a clean brainwave signal; matching the clean brainwave signal to a database of brainwave signals for neurological or mental conditions or a combination of neurological and mental conditions to identify the patient's neurological or mental status or a combination of neurological and mental conditions; and applying a therapeutic treatment to the patient based on the identified neurological or mental status or a combination of neurological and mental conditions.
摘要翻译：本公开的至少一个实施例涉及用于处理脑波信号以治疗患有神经障碍或精神障碍或神经和精神障碍的组合的患者的方法。该方法包括：测量来自患者的脑波信号，所测量的脑波信号含有噪声; 去除脑波信号，获得干净的脑波信号; 将干净的脑波信号与脑波信号数据库匹配，用于神经或精神状况，或将神经和精神状况组合，以确定患者的神经或精神状态或神经和精神状况的组合; 以及基于所识别的神经或精神状态或神经和精神状况的组合对患者施加治疗性治疗。

10. 发明授权

US09095266B1 Method for treating a patient 有权
标题翻译：治疗病人的方法
公开(公告)号：US09095266B1
公开(公告)日：2015-08-04
申请号：US12804939
申请日：2010-08-02
申请人： Chi Yung Fu
发明人： Chi Yung Fu
IPC分类号： A61B5/04 , A61B5/0476 , A61N1/04
CPC分类号： A61B5/0476 , A61B5/0042 , A61B5/0075 , A61B5/04009 , A61B5/04012 , A61B5/0402 , A61B5/0478 , A61B5/0484 , A61B5/165 , A61B5/4836 , A61B5/6803 , A61B5/7203 , A61B5/726 , A61B5/7264 , A61B2560/0214 , A61B2562/046 , A61B2562/14 , A61B2576/026 , A61N1/0408 , A61N1/0456 , A61N1/0476 , A61N1/0526 , A61N1/36014 , A61N1/36021 , A61N1/36025 , A61N1/40 , A61N2/006 , A61N2/008 , A61N2/02 , A61N5/02 , A61N5/10 , A61N7/00 , G06F19/00 , G06F19/3481 , G16H50/20
摘要： A signal processing method and system combines multi-scale decomposition, such as wavelet, pre-processing together with a compression technique, such as an auto-associative artificial neural network, operating in the multi-scale decomposition domain for signal denoising and extraction. All compressions are performed in the decomposed domain. A reverse decomposition such as an inverse discrete wavelet transform is performed on the combined outputs from all the compression modules to recover a clean signal back in the time domain. A low-cost, non-drug, non-invasive, on-demand therapy braincap system and method are pharmaceutically non-intrusive to the body for the purpose of disease diagnosis, treatment therapy, and direct mind control of external devices and systems. It is based on recognizing abnormal brainwave signatures and intervenes at the earliest moment, using magnetic and/or electric stimulations to reset the brainwaves back to normality. The feedback system is self-regulatory and the treatment stops when the brainwaves return to normal.
摘要翻译：一种信号处理方法和系统将诸如小波，预处理的多尺度分解与诸如自相关人造神经网络的压缩技术相结合，在多尺度分解域中操作用于信号去噪和提取。所有的压缩都是在分解域中进行的。对来自所有压缩模块的组合输出执行反向分解，例如反向离散小波变换，以在时域中恢复干净的信号。低成本，非药物，非侵入性，按需治疗脑栓塞系统和方法是药物非侵入性的身体，用于疾病诊断，治疗治疗和对外部设备和系统的直接心理控制。它基于识别异常脑波特征并在最早的时刻进行干预，使用磁刺激和/或电刺激将脑电波重置为正常。反馈系统是自我监管的，治疗在脑电波恢复正常时停止。

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