261 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.

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.

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.

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 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.

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 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.