51 results about "Biosignal" patented technology

The present invention relates to a smart ring device for electrocardiography. The smart ring device comprises: a first electrode which is in contact with a finger of a user while worn on the finger; an insulating spacer surrounding the first electrode; a circuit board which is disposed outside the insulating spacer and connected to the first electrode; an arc-shaped insulating cover covering the circuit board; a second electrode which is exposed to the outside of the insulating cover while connected to the circuit board and can come into contact with the body of the user; a third electrode which is coupled to the outside of the insulating spacer and connected to the circuit board, and can come into contact with the body; and a signal processing unit which is mounted on the circuit board and processes biosignals transmitted from the first, second, and third electrodes. The smart ring device for electrocardiography of the present invention having the above configuration is in the form of a ring and thus very convenient to carry, and in particular, can simultaneously collect electrical signals from three different parts of the body through the three electrodes, and thus is able to obtain more accurate electrocardiography data.

This invention discloses a method for accurate heart rate calculation based on multi-source multimodal fusion, relating to the fields of biosignal processing and health monitoring technology. The method includes: simultaneously acquiring multi-source array data such as biosignals, environmental information, and motion status, and constructing a time-aligned dataset; preprocessing and extracting features from the data to obtain multi-dimensional features such as pulse peak interval, R-wave interval, environmental interference level, and exercise intensity level; identifying the current dynamic scene based on features and adaptively assigning heart rate calculation weights to photoelectric and electrocardiogram signals; calculating two preliminary heart rate values ​​in parallel and performing weighted fusion; combining individual feature calibration and a time-series trend model to perform anomaly judgment and correction on the preliminary heart rate values, and outputting the final heart rate value and confidence score. This method, through multi-source fusion and scene-adaptive weighting, achieves multi-scene adaptive, anti-interference, and personalized accurate heart rate monitoring.

This invention relates to the field of medical data and discloses a method for real-time monitoring of the efficacy of traditional Chinese medicine, Mongolian medicine, and Western medicine based on biosensor technology. This method enables real-time monitoring of drug efficacy and personalized medication guidance. The process includes collecting real-time multimodal biosignals from the user's body surface or minimally invasive body fluid samples to obtain raw sensor signals and acquire sensor array output; extracting real-time pharmacokinetic characteristic signals based on a preset pharmacokinetic model and mapping them to efficacy assessment parameters according to drug type; comparing the efficacy assessment parameters with a preset safe and effective concentration range to generate real-time medication status indicators and dosage adjustment prompts. This invention designs quantitative assessment methods for different types of drugs, enabling real-time comparison to generate efficacy status codes and dosage adjustment suggestions. It comprehensively generates a medication guidance report and transmits it in real-time to the user or clinical monitoring end, allowing for immediate adjustment of the medication regimen and ensuring safe and effective medication.

An embodiment includes a sensor device including an amplifier configured to amplify a biopotential detected by an electrode, a transmitter configured to modulate a carrier wave according to the biopotential and transmit the modulated signal wirelessly to the other sensor device, a receiver configured to demodulate the modulated signal transmitted from the other sensor device and extract information on the biopotential, a reference potential generator configured to generate a reference potential of the amplifier, and a correction circuit configured to correct an oscillation frequency of a voltage-controlled oscillator used for demodulation by the receiver.

This invention discloses a full-spectrum emotion recognition system integrating biosignals and behavioral features, belonging to the field of emotion recognition technology. The system includes the following steps: S1, data acquisition; S2, data preprocessing; S3, emotion feature fusion; S4, emotion analysis and output; S5, full-spectrum adaptation. This full-spectrum emotion recognition system integrates biosignals and behavioral features to achieve full-spectrum emotion recognition, ranging from common emotional distress to severe emotional disorders. By integrating multi-dimensional data of biosignals and behavioral features, and based on scientific classification standards, it accurately distinguishes children with different degrees of emotional problems, allowing each group to receive appropriate intervention. This precise classification avoids the blindness of intervention measures, providing basic regulatory support for children with common emotional distress and securing timely intervention opportunities for children with severe emotional disorders. It comprehensively meets the emotional management needs of different children and promotes their healthy emotional development.

We provide a compact, portable AI-based diagnostic scan and analysis device that improves healthcare delivery in diverse clinical and emergency settings. [Solution] The portable AI-based diagnostic scan analysis device 100 includes a system initialization interface 101 and a power control and startup hardware module 102 for establishing operational readiness and controlled power distribution. The diagnostic scan interface hardware module 103 acquires image, biosignal, or optical scan data, and the user input and parameter selection hardware module 104 enables the setting of diagnostic parameters. System safety is ensured by the error detection and safety monitoring hardware module 105, after which the scan is initiated by the scan execution trigger hardware module 106. Diagnostic information is presented by the data display and status interface hardware module 107, and processed by the active diagnostic processing hardware module 108 by executing an artificial intelligence algorithm.

A system and method for cardiovascular monitoring and reporting are disclosed. The system (CV monitoring system) includes a data analysis system and an in-ear biosensor system that preferably includes left and right earbuds. The earbuds include infrasound / vibration sensors that detect biosignals from the individual including signals associated with cardiovascular activity (CV signals). The analysis system calculates cardiovascular function measurements (CV function measurements) based upon the CV signals. The CV monitoring system uses machine learning to predict blood pressure (BP) measurements of the individual based upon the CV signals and the calculated CV function measurements. In an embodiment, the CV monitoring system includes an EKG detection system that detects EKG signals associated with heart function. The analysis system can calculate additional CV function measurements from the EKG signals to augment the CV function measurements calculated from the CV signals, and predict BP measurements using the full complement of CV function measurements.

A method and device for generating a training dataset of a bio-signal denoising artificial intelligence (AI) model are provided. According to an embodiment, the method includes receiving first bio-signal data measured in a non-noise-suppressed environment and second bio-signal data measured in a noise-suppressed environment, performing component analysis of the first bio-signal data, and determining noise component data by separating target component data from the first bio-signal data, generating third bio-signal data by combining the noise component data with the second bio-signal data, and determining the second bio-signal data as ground truth data of the training dataset and determining the third bio-signal data as noisy data of the training dataset to determine the training dataset.

The present technology relates to a signal processing apparatus and a method that enable improvement in the robustness of emotion estimation against noise. A signal processing apparatus extracts, on the basis of a measured biological signal, a physiological measure contributing to an emotion as a feature amount, outputs, with respect to time-series data about the feature amount, time-series data about a prediction label of an emotion status by a discriminative model built in advance, and outputs an emotion estimation result on the basis of a result of performing weighted summation of the prediction label with prediction label reliability that is reliability of the prediction label. The present technology can be applied to an emotion estimation processing system.

This invention relates to the technical field of rehabilitation assistive devices, and more specifically, to a music-assisted intelligent rehabilitation training method and system for hemiplegic patients. The training method includes the following steps: collecting the patient's bio-signal data; processing the bio-signal data using a cross-modal graph attention fatigue model to obtain a fatigue level; matching the beat value of assistive music according to the fatigue level; selecting and playing corresponding music based on the beat value; controlling the movement of the rehabilitation device based on a beat-motor coupling model and a music-motor frequency synchronization scoring model; and collecting and analyzing the patient's bio-signal data during rehabilitation training in real time, and performing feedback control. This invention has a preset music database containing various types of music, and labels each piece with a corresponding fatigue level based on its beat. This invention aims to improve the accuracy of rehabilitation assessment, enhance the patient's initiative in rehabilitation training, increase training duration, and improve rehabilitation effectiveness.

To provide a biosignal acquisition device that can be miniaturized. [Solution] The biosignal acquisition devices 100, 100a, and 100b, which are mounted on a seat 30, include sensors 10, 10a, 100b, and 100c that detect biosignals of the human body in a seated state, noise reduction members 11 that are positioned between the sensors and the seat and in contact with the sensors and the seat to reduce noise input from the seat to the sensors, and a biosignal calculation unit 22 that calculates biosignals using the biosignals detected by the sensors. When viewed in a seated state, the projection area of ​​the noise reduction member is larger than the projection area of ​​the sensor when viewed in the opposing direction between the contact portion of the human body that is in contact with the seat and the seat. The Young's modulus of the noise reduction member is higher than the Young's modulus of the contact portion on the seat.

The application relates to the technical field of virtual reality and artificial intelligence data processing, and discloses a museum ecological system based on a meta-universe joint AI double engine and an implementation method, which comprises an immersive near-eye display terminal, a cloud distributed processing center and a distributed ledger network.The terminal collects multi-source sensing data streams; the processing center separates physiological tremor energy characteristic values through a multi-source biological signal analysis module and synthesizes a comprehensive stress index, generates rendering pipeline intervention instructions according to the comprehensive stress index by using a nonlinear semantic reconstruction module, calculates an effective collision radius by using a physical simulation and rendering engine to comprehensively equip attribute metadata, the comprehensive stress index and the physiological tremor energy characteristic values, and generates a drill evaluation report; and the distributed ledger network encrypts and stores the report.The application realizes self-adaptive adjustment of virtual environment visual rendering and physical interaction difficulty according to the physiological and psychological state of a user, and solves the problems of lack of real-time physiological response and low data reliability in the existing drill system.

Disclosed is an optical sensor for detecting a biosignal The optical sensor comprises: a substrate including a groove; a laser diode which is inserted into the groove and includes an active layer and a plurality of light beams of different wavelengths emitted from a plurality of light-emitting points of the active layer; a plurality of waveguides disposed inside the substrate and configured to guide the plurality of light beams emitted from the active layer of the laser diode; a plurality of first optical lines which are disposed inside the substrate, have one end connected to the plurality of waveguides and the other end connected to the plurality of light output structures, and transmit the plurality of light beams guided along the plurality of waveguides to the plurality of light output structures; second optical lines disposed inside the substrate and branched from one of the plurality of first optical lines; and a light detection element which is disposed on the substrate and detects light transmitted along the second optical lines. The laser diode is configured to be inserted into the groove such that the heights of the plurality of light-emitting points of the active layer are respectively aligned with the heights of the plurality of optical waveguides.

We provide the system. [Solution] The system includes multiple radio wave transceivers as a means of detecting people, and a means of acquiring radio wave reflection information. A means for analyzing acquired reflection information to estimate the presence of an object within the surveillance space and its biological signals, A communication means for transmitting the analyzed data to an information processing device that receives it, Based on the received data, a means of analyzing the situation in the monitored space using artificial intelligence and evaluating potential risks, A means of sending a warning to a registered recipient when the potential risk exceeds a set threshold, A system that includes this.

A body area network architecture is described that establishes a communication standard using the body as the physical medium. By leveraging vascular conductivity and bone resonance, the system enables the autonomous monitoring and correction of physiological states in a closed-loop artificial homeostasis. The invention integrates metabolic energy harvesting mechanisms to power biocompatible micro-nodes and a security protocol based on the unique biological identity of the data stream. The system employs digital modulation processes to transmit biosignals through fluids and skeletal structures, eliminating reliance on external radio frequencies.This technology is applicable in precision medicine, industrial safety and advanced human-machine interface systems, providing a redundant, encrypted and ultra-low power communication infrastructure for continuous monitoring of vital parameters without external electromagnetic interference.

A method, human interface device, and computer program product that provide improved multilevel switching from each bioelectrical sensor with inclusion of switch filtering based on extraneous events (e.g., spasms). A biosignal is received from a sensor device by an electronic processor of a first electrode switch device. In response to determining that the amplitude of the signal has changed from less than a first switch range to greater than the first switch range and less than the second switch range, the electrode switch device communicates a first switch signal to control the human interface system. In response to determining that the amplitude of the biosignal has changed from less than the second switch range to greater than the second switch range, the electronic switch device performs one of: (i) ignoring the instance and (ii) transmitting a second switch signal to control the human interface system.

This invention discloses a nicotine delivery control method, system, electronic device, and storage medium. The method includes: acquiring baseline physiological signal data of a user in a resting state via a biosignal acquisition module; establishing an individual physiological baseline value for the user based on the baseline physiological signal data via an edge computing processing module; acquiring the user's current physiological signal data in real time via the biosignal acquisition module during user use; determining the user's current emotional state based on the current physiological signal data and the individual physiological baseline value via the edge computing processing module, and generating a heating strategy instruction corresponding to the current emotional state; and receiving and executing the heating strategy instruction via a dynamic heating execution module to adjust the heating method of the cigarette, thereby achieving nicotine delivery control. The technical solution of this invention achieves personalized nicotine delivery by identifying the user's emotional state during use and dynamically adjusting the nicotine delivery rate accordingly.

The present invention relates to a neural electrode device comprising: a first support layer including one surface and deformed according to designed external environmental conditions; an electrode pattern part disposed on the first support layer and partially exposed through one surface of the first support layer; and a second support layer disposed on the other surface corresponding to one surface of the first support layer and formed on the rear surface of the first support layer, wherein the shapes of the first support layer and the second support layer are deformed according to the designed external environmental conditions. The neural electrode device according to one embodiment of the present invention not only wraps around a nerve while the electrode is deformed by mechanical rigidity and pre-deformation caused by a designed external environment, but also has improved surface adhesion, so that a portion where the first support layer and the second support layer meet can be fixed while being bonded. In addition, the neural electrode device can acquire a biosignal through an electrode pattern partially exposed through the one surface of the first support layer.

The application relates to the field of medical data, and discloses a real-time monitoring method for drug efficacy of Chinese and Mongolian and Western medicine based on a biosensing technology, which is used for realizing real-time monitoring of drug efficacy and individualized drug use guidance. The method comprises the following steps: obtaining original sensing signals from real-time multi-modal biosignals collected from the body surface or minimally invasive body fluid samples of a drug user, and obtaining sensor array outputs; extracting real-time pharmacokinetic characteristic signals based on a preset pharmacokinetic model, and mapping the real-time pharmacokinetic characteristic signals into efficacy evaluation parameters according to the types of the drugs; comparing the efficacy evaluation parameters with a preset safe and effective concentration range, and generating real-time drug use state indications and dose adjustment prompt information. The application designs a quantitative evaluation mode for different types of drugs, can compare and generate efficacy state codes and dose adjustment suggestions in real time, comprehensively generates a drug use guidance report, and transmits the drug use guidance report to a drug user end or a clinical monitoring end in real time, so that instant adjustment of a drug use scheme is realized, and the safety and effectiveness of drug use are ensured.

A control unit of an earbud device equipped with a biosignal sensor of the present invention is configured to perform the steps of: determining the current wearing state information related to the current wearing state of the housing on the basis of sensing information from the wearing state sensor; determining an operation profile of the biosignal sensor on the basis of the current wearing state information; and controlling the operation of the biosignal sensor on the basis of the determined operation profile.

The application relates to a retinal cell type-based visual function related parameter acquisition system and belongs to the technical field of medical auxiliary systems. The application aims to accurately acquire a retinal cell type-based visual function related parameter acquisition system of L cone, M cone, S cone, ipRGCs and other different retinal cell type function related physiological parameters. The system of the application comprises a stimulation presentation module, a brightness calibration module, a biological signal acquisition module, a multi-dimensional parameter extraction and cell type specific parameter decoupling module, a parameter analysis and standardized output module, a user interaction module and a data storage module. The application can provide a portable, objective, non-invasive and cell type specific retinal function related parameter acquisition technology, provide comprehensive and reliable technical support for visual function evaluation, is suitable for large-scale parameter acquisition and home monitoring, and solves many limitations of the prior art.

This invention provides a method, apparatus, electronic device, medium, and product for detecting biosignal data, relating to the field of signal detection technology. The method includes: acquiring reflected signals obtained from preliminary tactile perception of a target user by a photoplethysmography (PPG) sensor; determining the skin contact state between the PPG sensor and the target user based on the reflected signals; determining the signal quality characteristics of the PPG sensor for intensity signal detection of the target user based on the skin contact state; and detecting the target user's biosignal data when the PPG sensor is aligned with the target user's blood vessels and the degree of vascular compression is normal, based on the signal quality characteristics. The technical solution of this invention, based on a combination of tactilely perceived reflected signals and signal quality characteristics, adaptively adjusts the sensor pose, improving the accuracy of biosignal data detection.

This invention relates to the field of wearable rehabilitation technology, specifically to a visualized digital wearable rehabilitation device based on real-time biofeedback. The device includes a mechanical support and drive module, a biosignal acquisition module, a data processing and transmission module, and an external visualization and interaction module. The mechanical support and drive module provides mechanical support and auxiliary power to the lower limbs. The biosignal acquisition module is located at key points of contact between the mechanical support and drive module and the user, and is used to collect the user's biomechanical and physiological signals in real time. The data processing and transmission module receives, preliminarily processes, and transmits the biosignals. The external visualization and interaction module receives the biosignal data and performs real-time display and monitoring control. This invention, with its biosignal acquisition module, achieves comprehensive, high-precision real-time monitoring of the user's rehabilitation training status, providing a reliable multi-dimensional data foundation for accurate assessment.

A method for remote monitoring of biosignals includes transmitting unique information of a first biosignal measurement device to a server; receiving an activation command for at least a part of functions of the first biosignal measurement device, in response to matching between the unique information of the first biosignal measurement device and unique information of a first subject received from the server; and generating a symmetric key for the first biosignal measurement device on the basis of a public key generated by the first biosignal measurement device and a public key generated by the server, and encrypting biosignal data measured by the first biosignal measurement device using the generated symmetric key.

The present invention relates to a non-invasive continuous blood pressure estimation device and a method thereof. The non-invasive continuous blood pressure estimation device according to an embodiment of the present invention comprises: a sensor unit including a photoplethysmography (PPG) sensor for detecting a PPG signal of a subject; a data collection unit for collecting the PPG signal from the sensor unit and storing the PPG signal together with time information; a feature extraction unit for extracting one or more biosignal features from among a systolic timespan (ST), a systolic timespan variation based on intersecting tangent point variation (STVIT), and a systolic timespan variation based on maximum slope point variation (STVMD), which are derived from a specific point of the PPG signal; and a blood pressure estimation unit for estimating systolic blood pressure (SBP) and diastolic blood pressure (DBP) by using the biosignal features extracted by the feature extraction unit.

This invention discloses a state detection and assessment system based on head-mounted multimodal biosignals and its usage method. The system includes core modules such as an EEG signal acquisition module, a physiological signal acquisition module, a signal processing module, a state assessment module, and a report generation module. It can simultaneously acquire the user's EEG and physiological signals throughout a complete detection cycle. After the cycle ends, it performs unified signal preprocessing and feature extraction to generate multiple independent state assessment indicators and corresponding level results. Combined with historical assessment data recorded by the user identification and individual correction module, subsequent assessment parameters are personalized and corrected. Finally, the assessment report is pushed to the user's terminal through the report output module. This invention belongs to the field of biosignal detection and state assessment technology, specifically a state detection and assessment system based on head-mounted multimodal biosignals and its usage method.

The present invention relates to a preamplifier (10) configured to provide signals (52) to a recorder (20) of the biopotential; the preamplifier (10) comprising: - a first channel (14) connected to the input (11), comprising an amplifier (15) presenting a predefined gain (53) and configured to generate an amplified signal (54) via the multiplication of the non-amplified signal (51) by the gain (53); - a first output (12) connected to the amplifier (15), and configured to be removably plugged to the recorder (20) in order to provide the amplified signal (54) to the recorder (20); wherein: - the preamplifier (10) is comprised in a housing separate from the recorder (20); and - the preamplifier (10) comprises a second channel (16) configured to be connected to the electrode (31) and to provide the non-amplified signal (51) to the recorder (20), without amplification.

A method (400) for delivering user-specific audio output to a user is disclosed. The method (400) includes receiving audio input from a user device (106) associated with the user. Further, the method (400) includes identifying auditory stimulus from the audio input. The auditory stimulus being indicative of one or more biomarkers that trigger a neural response from the brain of the user. Furthermore, the method (400) includes obtaining, from the one or more biosignal electrodes (104), electroencephalogram (EEG)-based neural response data corresponding to the auditory stimulus. Moreover, the method (400) includes identifying a frequency range associated with altered response patterns based on the (EEG)-based neural response data. The method (400) further includes modulating amplitude corresponding to the frequency range. Finally, the method (400) includes delivering, via a speaker unit (214) of a wearable audio output apparatus (102), a user-specific audio output to the user based on the modulation.