270 results about "Wearable eeg" patented technology

Preferred embodiments of the invention employ a portable and wearable EEG monitoring device having a patient-worn amplifier releasably coupled to a host computer for transmitting EEG signals. When patient disconnection from the host computer is desired, a portable operations device (POD) can be connected to the amplifier. Preferably upon detecting disconnection, a controller causes new EEG signals to be routed to a removable memory or transmitter peripheral card, enabling seamless data acquisition. Upon detecting reconnection between the amplifier and the host computer, the controller causes new EEG signals to be routed to the host computer. The controller also preferably transmits EEG signals stored on the peripheral memory card (if used) to the host computer. Preferred embodiments include a handheld display apparatus for viewing EEG signals and electrode information. Also, preferred embodiments reduce patient tethers by connecting multiple amplifiers in a daisy-chain format (most preferably on a PAN bus).

A “Wearable Electromyography-Based Controller” includes a plurality of Electromyography (EMG) sensors and provides a wired or wireless human-computer interface (HCl) for interacting with computing systems and attached devices via electrical signals generated by specific movement of the user's muscles. Following initial automated self-calibration and positional localization processes, measurement and interpretation of muscle generated electrical signals is accomplished by sampling signals from the EMG sensors of the Wearable Electromyography-Based Controller. In operation, the Wearable Electromyography-Based Controller is donned by the user and placed into a coarsely approximate position on the surface of the user's skin. Automated cues or instructions are then provided to the user for fine-tuning placement of the Wearable Electromyography-Based Controller. Examples of Wearable Electromyography-Based Controllers include articles of manufacture, such as an armband, wristwatch, or article of clothing having a plurality of integrated EMG-based sensor nodes and associated electronics.

Ambulatory monitoring of human health is provided by a multi-component multi-sensor wireless wearable biosignal acquisition system comprising a torso device and a peripheral device communicating wirelessly, and a mobile phone for receiving collected data and uploading it over cellular network or WiFi to a remote computer for multivariate analysis. Biosignals include EKG and PPG, from which a determination of pulse transit time can be made.

Methods, systems, and apparatus implementing a generalizable self-calibrating protocol coupled with machine learning algorithms in an exemplary setting of classifying perceptual states as corresponding to the experience of perceptually opposite mental states (including pain or no pain) are disclosed. An embodiment presented represents inexpensive, commercially available, wearable EEG sensors providing sufficient data fidelity to robustly differentiate the two perceptually opposite states. Low-computational overhead machine learning algorithms that can be run on a mobile platform can be used to find the most efficient feature handles to classify perceptual states as self-calibrated by the user. The invention is generalizable to states beyond just pain and pave the way towards creating EEG NFB applications targeting arbitrary, self-calibrated perceptual states in at-home and wearable settings.

An adhesive-mountable head-wearable EEG apparatus is disclosed. The apparatus includes an EEG sensor for acquiring an EEG signal of a wearer, a central processing unit for receiving the EEG signal, a small circuit board including the EEG sensor and the central processing unit, and a compact enclosing shell for enclosing the small circuit board, the EEG sensor, and the central processing unit. An adhesive electrode assembly attaches to the compact enclosing shell, or to the small circuit board within the enclosing shell, via snaps or magnets. The adhesive electrode assembly includes two or more gel electrodes for acquiring an EEG signal, and for adhering to the forehead so as to wearably support the EEG apparatus on the forehead. The compact enclosing shell includes chamfered edges, and is sized so as to reduce lateral forces on the compact shell that would tend to detach the EEG apparatus from the wearer's forehead.

The invention provides electronic equipment as well as a wearable pointing device and a method applied to the same. The wearable pointing device comprises a near signal generating unit for generating a near operation signal, a remote signal generating unit for generating a remote operation signal, a control unit for generating a control instrument according to the received near operation signal and remote operation signal and sending the control instrument, a locating unit for sending a locating signal to the electronic equipment when receiving a location instrument, and a communication unit for communicating with the electronic equipment and sending the received control instrument to the electronic equipment. By applying a technology provided by the preferable embodiment of the invention, the invention provides a more intuitionistic operation way for users within any range of the distance between the users and the electronic equipment in such a way that a signal generating unit bound on a hand generates an operation signal for controlling the electronic equipment, thereby providing better mutual feeling for the users and improving the working efficiency.

The invention discloses an epidermal-electronics-based health monitoring system, which comprises a sensing unit and a portable signal processing unit, wherein the sensing unit is in an epidermal electronic patch form, is adhered to the skin surface of a monitored object, and is used for acquiring and storing the physiological parameter data of the monitored object; the portable signal processing unit is in signal connection with the sensing unit, and is used for reading and displaying the physiological parameter data stored in the sensing unit, and giving an alarming prompt or calling for assistance when the physiological parameter data exceeds a preset threshold value. The invention also discloses other embodiments of the health monitoring system. According to the epidermal-electronics-based health monitoring system, various problems of a conventional wearable health monitoring system can be successfully solved; the epidermal-electronics-based health monitoring system has the advantages of low cost, convenience for control, real-time monitoring and carrying, high measurement accuracy, multipoint measurement and the like.

The invention relates to a wearable continuous blood pressure estimating system and a method based on dynamic compensation of diastolic blood pressure.A wearable electrocardio-sensing unit and a volume pulse wave sensing unit are used for measuring an electrocardiosignal and a volume pulse wave signal, both of which are connected to a signal acquisition and transmission unit by means of a connection converting unit at the neck portion and synchronously collected and sent wirelessly to a portable intelligent computing and processing unit. The portable intelligent computing and processing unit provides functions of blood pressure calibration and continuous estimation, more specifically, comprises real-time wireless reception of signals, pre-processing, detection of feature points, display and storage and real-time computation and display of systolic blood pressure and diastolic blood pressure.A pulse transit time method is adopted by an estimation of systolic blood pressure. A way of thinking for dynamic compensation based on volume pulse amplitude value and time parameters is utilized by an estimation of diastolic blood pressure. Therefore, estimating accuracy is improved. The wearable continuous blood pressure estimating system is characterized by being small in size and power consumption and low in cost and is suitable for being worn everyday without influencing upon daily activities.

Motion artifacts less electrode for bio-potential measurements and electrical stimulation is discussed under the present invention. Three different arrangements of the electrode are introduced. Further the electrode embodiments are generalized for reducing motion artifacts of any skin contact senor or an actuator embodiment. In addition a piggy backed daisy chained sensor nodes or actuator nodes cabling system is introduced to minimize the motion artifacts further. A PPG sensor is constructed according to the generalized sensor embodiment and this PPG sensor is used for constructing an ear wearable heart rate monitoring unit. Moreover an ear wearable EEG monitoring system based on piggy backed daisy chained sensor or actuator nodes and caballing arrangement is illustrated.

Embodiments of a WCD system include a measurement circuit that can render a physiological input from the patient. Such WCD systems may also receive a motion detection input that reveals whether a motion event has been detected by a motion detector. In some embodiments, a value becomes assigned to a motion level parameter in response to any motion event detected or not, and the rhythm analysis can be based on the physiological input and on the assigned value. In some embodiments, a rhythm analysis of the physiological input may be performed in different manners, depending on whether or not a motion event has been detected. In some embodiments, a different shock / no shock criterion may be applied to the rhythm analysis, depending on whether or not a motion event has been detected. The patient may receive an electrical shock according to a shock / no shock determination.

A personal wearable EEG monitor (1) is adapted to be carried at the head of a person. The EEG monitor comprises an EEG sensor part having skin surface electrodes (3) for measuring EEG signals from said person. The EEG monitor comprises an EEG signal analyzer (5, 5′) adapted for monitoring and analyzing the EEG signal. The EEG monitor (1) performs at least one of the following: providing a stimulus to the person, requesting the person to perform a stimuli creating act, or identifying a stimuli creating ambient sound. The EEG monitor comprises means for identifying an induced response from the EEG signal caused by the stimuli, and a classifier for deciding whether the skin surface electrodes receive EEG signals. The invention further provides a method of monitoring EEG signals of a person.

The present invention discloses wearable electrocardiographic measurement device which includes a first electrode and a second electrode, wherein the first electrode is mounted on a user's body via a wearable structure, and the second electrode is implemented to contact the user's upper limb, neck or shoulder, so as to achieve a loop for acquiring electrocardiographic signals.

In embodiments, a wearable cardioverter defibrillator (WCD) system is configured to be worn by an ambulatory patient. In the event that the WCD system determines that defibrillation is needed, it delivers a defibrillation shock. To diminish the possibility that the patient will be shocked due to a false positive detection, the WCD system alerts a patient that a defibrillation shock is imminent, and invites them to react to avert it. Alerting may be by a very weak shock, or jolt. Alerting by a jolt can be a last resort warning. An advantage can be that the patient has a higher chance of being alerted by the jolt, especially in the event that the patient is not reacting to other human-perceptible alerts, such as when the patient is riding a motorcycle.

A wearable EEG monitor for continuously monitoring the EEG of a user through capacitive coupling to an ear canal of a user comprises an ear insert (1) for positioning within the human ear canal, comprising at least two capacitive electrodes (16) for recording a signal. The electrodes are coated with a dielectricum for electrical insulation. The electrodes are connected to an amplifier (17). The amplifier has an input impedance matched to the impedance of the electrodes. The invention further provides a method of monitoring brain waves.

The invention provides a wearable hand rehabilitation apparatus equipped on the back of users' hand. The wearable hand rehabilitation device could help the users to do their hand or finger rehabilitation. The wearable hand rehabilitation apparatus includes a thumb mechanism, three finger mechanisms and a pinky finger mechanism. These mechanisms could make the user's fingers bent or straightened. And the wearable hand rehabilitation apparatus could reduce the physical damage of the users during the period of doing rehabilitation with the present invention.

The invention discloses an electrocardiosignal detection device and analysis method based on a joint neural network. The method comprises the following steps: firstly, building a joint neural networkalgorithm on a machine learning server, and training a model; aiming at preprocessed ECG data, enabling the model to extract data spatial features and acquire a spatial classification probability through a residual neural network module; extracting time sequence features of the data on a dimensionality-reduced spatial feature map through a bidirectional long-short-term memory neural network and anattention module, and acquiring a time sequence classification probability; finally, fusing the two classification probabilities to obtain a detection result; acquiring a small amount of ECG data ofa patient from a wearable device, performing manual marking, inputting the ECG data into the machine learning server, performing fine-tuning on the model, and deploying the final model to an intelligent mobile device; and finally, realizing real-time anomaly detection through wireless transmission of the wearable device and the intelligent mobile device. The invention develops the wearable devicefor electrocardiosignal acquisition and the real-time detection, and provides an effective technical means for auxiliary diagnosis of heart diseases.

The invention discloses a device based on wearable multi-mode emotion monitoring. The device comprises VR glasses, a wearable multi-mode signal acquisition module and an intelligent calculation module, wherein the VR glasses are used for establishing an emotion induction scene of an intelligent interactive real social scene; a wearable multi-mode emotion acquisition module acquires multi-mode physiological information of electroencephalogram, myoelectricity, electrocardio, dermatoelectricity, eye images and mouth images from the head, the faces, the chest and the wrists of a wearer; and the intelligent calculation module is used for preprocessing multi-dimensional signals, performing feature abstraction on the multi-mode heterogeneous data, performing cooperative representation and fusionon multi-source features, performing multi-task regression learning by using a multi-layer perceptron model, and finally, performing multi-dimensional emotion judgment and result output. According tothe invention, the problems of no quantitative analysis, no test equipment and the like in traditional emotion evaluation are solved, and a reliable experimental paradigm, a mechanism theory and an equipment environment are provided for evaluating and monitoring the multi-dimensional emotion.

A wearable hand rehabilitation system includes: a base, multiple actuating units configured to the base, hand assistive unit and multiple sheaths connected with the actuating units and the hand assistive unit. The base is composed of a cover and a base plate to create a space. A hole closed to the middle of the cover to make every sheath to cross the cover. As a result, the sheath could connect with actuating units. When a user put on the wearable hand rehabilitation system, the user could move or rotate the user's arm to make user's five fingers to grab something. The usage of the wearable hand rehabilitation system could evaluate the hand rehabilitation condition of the user.

The present disclosure relates to a wearable monitor device and methods and systems for using such a device. In certain embodiments, the wearable monitor records cardiac data from a mammal and extracts particular features of interest. These features are then transmitted and used to provide health-related information about the mammal.

The invention relates to the emotion recognition field and the EEG channel selection technology, in particular to an EEG channel selecting method based on standard mutual information. The method includes the following steps of collecting data, extracting EEG through a public data set, conducting the short-time Fourier transform on the EEG to obtain a time-frequency graph, establishing an incidencematrix by calculating standard mutual information values between all channels in the time-frequency graph, analyzing the incidence matrix, setting the threshold selection channel, determining the optimum channel, and classifying data through a support vector machine classifier after the channel is selected to obtain the emotion recognition rate. The method has the advantages that the high emotionrecognition rate is still kept under the condition of greatly reducing the number of the channels, the selected channel provides an applicable scheme for the design of a wearable EEG device, the design complexity problem of hardware is solved, the classification accuracy of EEG can be effectively improved, and the data redundancy and computation complexity caused by using signals of all the channels are overcome.

A wearable thermometer patch includes a flexible circuit substrate comprising an electric circuit and an opening, a thermally conductive cup having a bottom portion plugged into the opening and fixed to the flexible circuit substrate, and a temperature sensor inside the thermally conductive cup. The temperature sensor is in thermal conduction with the thermally conductive cup. The temperature sensor is electrically connected to the electric circuit in the flexible circuit substrate.

The invention discloses a wearable intelligent monitoring system based on Beidou positioning and physiological status monitoring, and belongs to the field of real-time physiological information monitoring. The system mainly comprises a physiological status monitoring and Beidou monitoring module, a data processing module, a wireless communication module, a physiological information network query module and an intelligent mobile phone terminal module. The physiological status monitoring and Beidou monitoring module is used for collecting physiological information and position information of a vulnerable group in real time; the data processing module is used for performing filtering and abnormality recognition on physiological status signals through a moving average filtering algorithm and an amplitude limiting algorithm; the wireless communication module is used for storing processed data in a server; the physiological information network query module is used for querying the physiological information and the position information of the vulnerable group through a network access server; the intelligent mobile phone terminal module is used for querying monitoring data through third-party application software (App) and learning about the relevant information of the vulnerable group. The system aims to monitor the physiological information and the position information of the vulnerable group in real time and has application and popularization value.

A personal wearable EEG monitor comprises a base part (1) having signal processing means (23), and an electrode part (2) with at least two electrodes (11, 12) for measuring an EEG signal of a person. The electrode part (2) comprises means for converting the EEG signal into a digital signal. The EEG monitor comprises a databus for transferring data between the base part (1) and the electrode part (2) and for providing power from one part to the other. The databus is adapted for application of two electrical wires. The invention further provides a method for communicating between two parts of an EEG monitor.

The invention discloses a wearable motion sensor and a magnetic field interference resisting method of the wearable motion sensor, belongs to the field of researches of the wearable motion sensors and aiming at accurately estimating a current attitude angle of the sensor in real time under the condition that magnetic field interference exists. A sensor module is used for acquiring real-time data of accelerations, angular speeds and magnetic fields; a current movement state and an external magnetic field interference condition of the sensor are judged according to the information; then multi-sensor information fusion is carried out by adopting a self-adaptive strategy and the attitude angle of the motion sensor is calculated and output. The wearable motion sensor is convenient to use, is not limited by field and is low in cost; the attitude angle of a human body part can be highly accurately measured in real time under the condition that the magnetic field interference exists; the wearable motion sensor has relatively high reliability and relatively good popularization prospect.

The invention provides a wearable sweat detection system and method and wearable equipment. The wearable sweat detection system comprises a micro-fluidic chip, an electrochemical electrode, a circuitacquisition system and a mobile terminal system, wherein a sweat collecting part is arranged on the side, attached to the skin, of the micro-fluidic chip; a sweat concentrating cavity is formed in theother side of the micro-fluidic chip, and the sweat concentrating cavity makes contact with the electrochemical electrode; the circuit acquisition system converts electric signals of sweat componentsdetected by the electrochemical electrodes into digital signals and sends the digital signals to the mobile terminal system; and the mobile terminal system receives the digital signals, analyzes andprocesses the digital signals and then outputs sweat detection results. According to the wearable sweat detection system and method and the wearable equipment, operation is easy, carrying is convenient and fast, sweat of a tested person can be collected, detected, analyzed and output in real time, and therefore human health state information is monitored in real time and early warned in time.

The invention discloses a real-time video safety communication system and method based on iris recognition, and the system comprises front-end equipment, a personal computer, and a server. The front-end equipment consists of wearable real-time video communication equipment, an iris image collector, and a data processing chip. The front-end equipment is mainly used for recording a real-time video, collects the iris information of a user, carries out the integration and encryption of data according to a specific algorithm and then carries out the transmission. The personal computer is mainly used for the separation of the received data, and playing the real-time video collected by the front-end equipment. The server is mainly used for the separation of the received data, and guarantees the legality of a photographer, the reliability of photographing equipment and the safety of data contents through the recognition of signature information. A zero-interaction authentication method based on iris recognition provides a safe, fast and reliable authentication mode for a user under the condition of guaranteeing the usability of equipment.

The invention discloses a wearable knee-crawling movement physiological parameter detection device. The wearable knee-crawling movement physiological parameter detection device comprises a hollow cylindrical device body, a surface electromyography detection module, a pressure detection module, a knee joint angle detection module and a data transmission module, wherein the surface electromyography detection module, the pressure detection module, the knee joint angle detection module and the data transmission module are arranged on the device body. The surface electromyography detection module is suitable for collecting and processing surface electromyography signals of quadriceps femoris and hamstring muscles to obtain surface electromyography data generated in the muscle contraction process. The pressure detection module is suitable for detecting and processing the pressure of lower limbs and contact surfaces to obtain pressure data of the lower limbs and the contact surfaces. The knee joint angle detection module is suitable for detecting and processing the joint angle generated in the flexion and extension process of knee joints to obtain joint angle data generated in the flexion and extension process of the knee joints. The data transmission module corresponds to the lateral malleolus of the thighbone and is used for transmitting the surface electromyography data, the pressure data and the joint angle data to a data analysis terminal in real time. The wearable knee-crawling movement physiological parameter detection device is suitable for detecting the knee-crawling movement physiological parameters of infants who only can crawl, but can not walk yet.