76 results about "Photoplethysmogram" patented technology

The invention relates to the technical field of blood pressure measurement, in particular to a cuff-free blood pressure continuous monitoring method based on ICG, PPG and ECG multi-mode physiological signals. According to the method, deep mining and fusion are carried out based on multi-modal physiological signals such as a chest impedance signal ICG, a photoelectric volume pulse wave signal PPG and an electrocardiosignal ECG of a tested object synchronously collected by multi-modal hemodynamics monitoring equipment, and a richer multi-modal feature matrix related to blood pressure changes is constructed; after deep learning fusion training is carried out on the constructed cuff-free blood pressure prediction model, prediction output of a cuff-free blood pressure prediction result can be directly carried out according to ICG, PPG and ECG multi-mode physiological signals of a to-be-detected tested object by means of the cuff-free blood pressure prediction model, the generalization ability and monitoring precision of continuous monitoring of the cuff-free blood pressure can be effectively improved, and the accuracy of continuous monitoring of the cuff-free blood pressure can be improved. The continuous, non-invasive and high-precision blood pressure monitoring requirements are met, and the clinical application value is more remarkable.

The invention discloses an immersive cinema dynamic content adaptation control method based on multi-modal fusion, and the method comprises the steps: collecting at least one non-contact physiological signal of a target audience seat area in real time, the physiological signal comprising a respiratory wave signal collected by a millimeter wave radar or a photoplethysmography signal collected by a near-infrared photoelectric sensor; performing time-frequency analysis on the physiological signal, and extracting a physiological wake-up characterization value in a current time window; the physiological wake-up characterization value comprises a heart rate variability change rate and a heart rate deviation value; constructing a dynamic damping adjustment model, and calculating a virtual damping coefficient of the seat movement system at the current moment based on the physiological wake-up characterization value; and the virtual damping coefficient is converted into an execution instruction of a seat motion controller, and damping force output of the motion platform is adjusted in real time. The technical problem that the pre-programmed motion feedback is disjointed with the real-time physiological and psychological state of the audience can be solved, the experience adaptability and comfort of the cinema seat are improved, and the system safety is improved.

The invention discloses a pressure monitoring method and device based on wearable equipment and electronic equipment. The method comprises the following steps: acquiring current photoelectric plethysmography (PPG) signals corresponding to a plurality of channels collected by wearable equipment; based on the current PPG signals corresponding to the multiple channels, candidate pulse wave sequences corresponding to the multiple channels are determined, and the candidate pulse wave sequences comprise multiple pulse waves of the corresponding channels; determining a target pulse wave sequence from the candidate pulse wave sequences corresponding to the multiple channels based on the pulse wave continuity evaluation results and the pulse wave quality evaluation results corresponding to the multiple channels; performing feature extraction on the target pulse wave sequence to obtain current heart rate variability features; and determining a current pressure monitoring result according to the current heart rate variability characteristic. According to the invention, the technical problem of low pressure monitoring accuracy and reliability of wearable equipment in a dynamic environment in the prior art is solved.

The invention discloses a space behavior recognition access control system based on UWB and PPG fusion, and mainly relates to the technical field of intelligent security and protection. Comprising a UWB positioning unit used for acquiring spatial position data of a user in an access control area through an ultra wide band technology; the PPG acquisition unit is used for acquiring physiological signals of a user through a photoelectric volume pulse wave technology; the data fusion unit is used for performing multi-source data fusion on the spatial position data and the physiological signal to generate a fusion feature vector; the behavior recognition unit is used for recognizing a behavior mode of the user through a mode recognition algorithm based on the fused feature vector; and the access control unit is used for outputting a control instruction according to the identified behavior mode so as to operate the opening, closing or alarming of access control equipment. The access control system has the beneficial effects that non-contact accurate identification of spatial behaviors is realized through multi-source data fusion, and the identification accuracy, the anti-interference capability and the user experience of the access control system are effectively improved.

An electronic device comprises a housing configured to contact a user's skin, an optical transmitter array, an optical receiver, a memory element and a processing element. The optical transmitter array outputs a plurality of optical signals that pass through the user's skin, each of the plurality of optical signals having one of three wavelengths. The optical receiver receives the optical signals and generates corresponding photoplethysmogram (PPG) signals. The memory element stores absorption constants for deoxyhemoglobin blood content, oxyhemoglobin blood content and glycated hemoglobin blood content, each absorption constant associated with one of the first wavelength, the second wavelength or the third wavelength. The processing element determines a glycated hemoglobin blood level for the user based on a ratio of a determined glycated hemoglobin blood content to a sum of determined deoxyhemoglobin blood content, a determined oxyhemoglobin blood content and a determined glycated hemoglobin blood content.

The invention provides an equipment control method and device, and electronic equipment, and is applied to terminal equipment, and the method comprises the steps: transmitting a first light ray according to a target current; collecting second light rays reflected by the first light rays through the outside; evaluating the signal quality of a photoplethysmography (PPG) signal corresponding to the second light; if the currently evaluated signal quality is less than or equal to a preset threshold value, adjusting the target current; re-executing the signal evaluation operation; and if the currently evaluated signal quality is less than or equal to the preset threshold value and the adjusted target current is equal to the preset maximum current value, adjusting a signal acquisition parameter so as to execute the light acquisition operation according to the adjusted signal acquisition parameter. According to the method provided by the embodiment of the invention, the precision of the PPG signal acquired by the terminal equipment can be improved.

Various improved methods and systems for detecting blood pressure characteristics are described herein, including algorithms, structures, architectures, and implementation details thereof. In some cases, photoplethysmography (PPG) data may be obtained, for example in a continuous or real time manner. A temporal period of PPG data can be provided to a multi-stage machine learning model having a unique architecture as described herein. A segmentation or masking stage generates multiple modified PPG data partitions, based on attributes of the PPG data. A feature network stage generates feature data corresponding to points in time during the temporal period in such partitions. A decision stage assesses whether a blood pressure characteristic is present.

The invention belongs to an evaluation signal generation method, and aims to solve the technical problems that non-contact detection or non-invasive detection including an existing video photoelectric volume pulse wave detection technology lacks an effective signal evaluation method and evaluation device, and direct and accurate measurement is difficult to perform by depending on known signals. The invention provides a signal generation method for video photoelectric volume pulse wave detection and evaluation and a related device, which are used for respectively generating known ambient light signals, skin color signals and blood flow signals which are very important for video photoelectric volume pulse wave detection. Photoelectric volume pulse wave characteristic wavelength information is generated from the generated blood flow signals according to photoelectric volume pulse wave signal characteristics; then generating a visible light signal which can be displayed by a color LED display device according to a colored light superposition principle by visible light parts in the obtained ambient light signal, the skin color signal and the blood flow signal; and the characteristic wavelength signal and the visible light display signal are displayed in a time-sharing manner.

Embodiments of the present application provide a blood pressure measurement method, an electronic device, a computer storage medium and a computer program product. The method comprises: determining a blood pressure measurement result of a user according to acquired first PPG data by using a pre-trained blood pressure prediction model; the first PPG data is obtained based on a photoplethysmogram (PPG) signal collected from the user; model parameters of the pre-trained blood pressure prediction model comprise a first parameter and a second parameter; the first parameter is obtained by training a first device; and the second parameter is obtained by continuing to perform transfer learning on the model by using a second device while the first parameter is frozen. The first PPG data can be collected by using a device with a PPG signal collection function, so that the cost of blood pressure measurement is reduced. Meanwhile, the second parameter in the pre-trained blood pressure prediction model is obtained by using the second device, so that the time and resource consumption required for retraining the blood pressure prediction model are reduced, and the accuracy of blood pressure measurement can be improved.

The invention provides a sleep awakening detection and evaluation method and device based on radar and PPG signals. The method is applied to the technical field of radar and biological signal data processing. The method comprises the following steps: acquiring a radar echo signal and a photoelectric volume pulse wave signal acquired during a sleep period of a target object; performing multi-scale feature extraction on the radar spectrogram by using a first multi-scale feature extraction network, performing multi-scale feature extraction on the photoelectric volume pulse wave time-frequency graph by using a second multi-scale feature extraction network, and fusing a radar multi-scale feature graph and a pulse multi-scale feature graph by using a fusion layer; performing regression classification on the multi-scale fusion feature map by using a fragment proposal network task head to obtain candidate feature picture segments; and performing sleep awakening event prediction on the candidate feature picture segment by using the interested segment head network to obtain a target feature picture segment. According to the invention, the accuracy of sleep awakening event detection is improved.

The present invention provides a photoplethysmography (PPG) measurement apparatus, comprising: an outer housing, a light source, a light source, a light source, a light source, a light source, a light source, a light source, a light source, a light source, and a light source; the inner shell is coupled with the outer shell, the inner shell and the outer shell can move relatively, an accommodating space is formed between the outer shell and the inner shell and is used for accommodating an object to be measured, and the space size of the accommodating space is changed along with the relative movement between the outer shell and the inner shell; the first magnetic unit is arranged on the surface of the outer side of the outer shell; the second magnetic unit is arranged on the inner shell inner side surface of the inner shell; the optical signal module is coupled with the outer shell and is configured to measure the object to be measured; magnetic acting force exists between the first magnetic unit and the second magnetic unit, and the magnetic acting force drives the space size of the containing space to be matched with the object size of the object to be measured.

A blood pressure monitoring device includes a wristband, a housing, and a display. The strap portion is adapted to secure the device to the wrist without obstructing blood flow. At least one sensor modality is disposed within the housing for obtaining sensor data from an artery in the wrist. In a preferred embodiment, a photoplethysmography sensor is incorporated in a housing to generate PPG waveform data. A processor within the housing is operable to calculate an average arterial pressure based on the extracted and calculated characteristics of the sensor data, and optionally to calculate diastolic and systolic blood pressures. Related methods and systems are also described.

The application discloses a measurement method, system and related device, and relates to the technical field of electronics. The method is applied to a first electronic device, and the method comprises the following steps: acquiring a first physiological signal of a user before exercise, wherein the first physiological signal comprises a first photoplethysmogram (PPG) signal; detecting that the user has finished the exercise, acquiring a second physiological signal of the user after the exercise, wherein the second physiological signal comprises a second PPG signal; and outputting a first evaluation result based on the first physiological signal and the second physiological signal, wherein the first evaluation result is used for indicating the heart pumping function of the user. In this way, the first electronic device can evaluate the heart function of the user based on the acquired first physiological signal before the exercise and the second physiological signal after the exercise, determine and output the heart pumping function of the user, so that the user can know the heart function condition of the user in time, and the safety of the user is ensured.

A continuous blood pressure measurement device includes a cuff airbag pneumatically connected to an inflation / deflation unit and a pressure detection unit. The device also comprises at least one light-emitting diode, at least one photodiode, and a volume detection unit configured to convert photoplethysmogram signals into arterial volume signals. A control unit precisely tracks a predefined setpoint to achieve arterial unloading based on a volume compensation method. An extraction unit reconstructs a high-fidelity arterial blood pressure waveform and accurately determines systolic, diastolic, mean arterial pressures, and heart rate.

A body-worn patch sensor for simultaneously measuring a blood pressure (BP), pulse oximetry (SpO2), and other vital signs and hemodynamic parameters from a patient featuring a sensing portion having a flexible housing that is worn entirely on the patient's chest and encloses a battery, wireless transmitter, and all the sensor's sensing and electronic components. It measures electrocardiogram (ECG), impedance plethysmogram (IPG), photoplethysmogram (PPG), and phonocardiogram (PCG) waveforms, and collectively processes these to determine the vital signs and hemodynamic parameters. The sensor that measures PPG waveforms also includes a heating element to increase perfusion of tissue on the chest.

Methods, systems, and devices for cardiovascular health metric determination are described. A system may be configured to receive a photoplethysmogram (PPG) signal representative of a pulse waveform for a user. The pulse waveform may include a first local maximum, a downward slope following the first local maximum, and a curved feature representative of a transition from a systolic phase to a diastolic phase of a cardiac cycle. Additionally, the system may extract one or more morphological features from the pulse waveform and compare the one or more morphological features with one or more features from a plurality of baseline PPG signal morphologies associated with a plurality of chronological ages. The system may determine a cardiovascular health metric that indicates a cardiovascular health of the user relative to a chronological age of the user and cause a graphical user interface to display an indication of the cardiovascular health metric.

The invention relates to a non-invasive blood glucose monitoring technology based on multi-modal fusion, and aims to solve the problem that the accuracy of non-invasive blood glucose monitoring is limited due to the fact that a simple splicing or voting method is often adopted in an existing multi-modal information fusion method and complementarity among different modal signals is not fully utilized. According to the scheme, data-level, feature-level and decision-level fusion is carried out on the electrocardio signal, the electroencephalogram signal and the photoelectric volume pulse wave signal, the correlation among different modal signals is fully mined, and the accuracy of noninvasive blood glucose monitoring is improved.

The application relates to a signal detection method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: obtaining a target photoplethysmogram signal of a to-be-detected object; the target photoplethysmogram signal comprises multiple sub-signals; performing quality assessment on each sub-signal to obtain a quality assessment result; the quality assessment result comprises any one of a high-quality signal, a general signal and a poor-quality signal; according to the quality assessment results of the multiple sub-signals, performing feature extraction on the multiple sub-signals to obtain multiple feature information; each sub-signal corresponds to one feature information; and according to the quality assessment results of all the sub-signals and the multiple feature information, determining an abnormal condition of the target photoplethysmogram signal. The signal detection method provided by the application can improve the accuracy of detecting the abnormal condition of the target photoplethysmogram signal, thereby improving the accuracy of detecting whether the to-be-detected object has an atrial fibrillation event.

An apparatus includes the following: a photoplethysmogram sensor head including a light emitter and a photo detector, wherein the photo detector is disposed in a diagonal orientation with respect to a light path from the light emitter to the light detector; and an opaque mask over the photo detector, wherein the mask covers at least partially that half of the photo detector that is at a greater distance from the light emitter and leaves a remaining half of the photo detector exposed.

The present invention provides a method, a device, an electronic apparatus, and a storage medium for processing multi-modal physiological signals, which relates to the field of health engineering. The method comprises: acquiring continuous target multi-modal physiological signals, the target multi-modal physiological signals comprise at least three target physiological signals of a target temperature signal, a target impedance plethysmogram (IPG) signal, a target electrocardiogram (ECG) signal, a target photoplethysmogram (PPG) signal and a target ultrasound signal; determining a continuous physiological information of a target subject, especially a continuous blood pressure information, according to the continuous target multi-modal physiological signals. The present invention determines the continuous physiological information by acquiring the continuous multi-modal physiological signals, so that the physiological information acquired is more accurate, and is more beneficial to the timely detection of abnormal physiological information, so that patients can be treated in time.

Methods, systems, and devices for optical signal measurement are described. A wearable electronic device may activate a first combination of optical sensors, the first combination of optical sensors including a set of transmitter sensors and a set of receiver sensors. In some cases, one or more optical sensor of the first combination of optical sensors may be positioned under a protrusion on an inner surface of the wearable electronic device. The device may measure, at the set of receiver sensors at a first time, one or more signals from the set of transmitter sensors, determine a signal quality metric associated with the one or more signals, and select a second combination of optical sensors for use at a second time based on the signal quality metric.

The present disclosure relates to the technical field of computer, and particularly relates to a car sickness detection method, a car sickness detection device, an electronic device and a storage medium. The method comprises the following steps: acquiring, by an electronic device, photoplethysmogram data corresponding to each time window in a sliding time window; acquiring physiological indexes corresponding to each time window according to the photoplethysmogram data corresponding to each time window; acquiring car sickness information corresponding to a user wearing the electronic device according to the physiological indexes corresponding to a plurality of continuous time windows and physiological index change information corresponding to adjacent time windows; acquiring a subjective discomfort score of the user; acquiring an intensity coefficient according to the subjective discomfort score of the user and the physiological indexes corresponding to the plurality of continuous time windows; and adjusting the car sickness information by using the intensity coefficient to obtain adjusted car sickness information. The present disclosure can improve the convenience of car sickness detection and reduce the power consumption required for car sickness detection.

An apparel system integrates a physiology-sensing inner sleeve within conventional garments to conceal hardware while maintaining natural arm mobility. A sensing sleeve with a sensing armhole opening is secured at a garment armhole region with substantially corresponding circumferences and may be sewn, bonded, or removably coupled. A sensor assembly comprising a sensor panel and / or textile electrodes contacts the wearer's skin to acquire physiological signals, such as photoplethysmogram, electrocardiogram (single- or multi-channel), and ballistocardiogram data, which are delivered to a computing device via conductive fibers. A conductive textile interconnect routed through a yoke, shoulder seam, collar, side seam, or body panel couples the sensing sleeve to a complementary sleeve on the opposite arm. Assembly methods include coupling sleeves at their armhole openings, attaching the sleeve unit to a garment body, and integrating the sensor assembly and interconnect for use across a variety of garments.

The invention belongs to a blood pressure measuring device, and provides a blood pressure measuring system and method implanted under the skin of a forearm to solve the technical problems that in an existing blood pressure measuring method, an invasive measuring method may cause injury to a human body, and a non-invasive measuring method is prone to being affected by external environment and body factors of the human body, the blood pressure measuring system implanted under the skin of the forearm comprises a subcutaneous module and an in-vitro module, wherein the subcutaneous module comprises a first photoelectric volume pulse wave sensor, a second photoelectric volume pulse wave sensor, an electrocardio sensor and a pulse wave feature detection module, corresponding signals are obtained through detection, and pulse wave features are obtained through calculation according to first photoelectric volume pulse waves, second photoelectric volume pulse waves and subcutaneous electrocardio signals; the blood pressure information is extracted from the pulse wave features, and the related information is stored, so that an unexpected continuous blood pressure measurement effect can be achieved at extremely low minimally invasive cost.

An electronic device according to one embodiment includes a housing, a printed circuit board, a window including a first area parallel to the printed circuit board and a second area connecting a periphery of the first area and the housing, a photoplethysmogram (PPG) sensor including at least one first emission portion and at least one first reception portion configured to receive light, and disposed on the printed circuit board, a laser sensor including at least one second emission portion and at least one second reception portion configured to receive light emitted from the at least one second emission portion and reflected from a part of a user's body, and a refractive index layer disposed on the laser sensor, wherein the laser sensor is disposed on the printed circuit board in a manner surrounded by the PPG sensor, and overlaps the first area when the window is viewed from the outside of the electronic device.

An electronic device may include at least one sensor, a communication circuit, and at least one processor operatively connected with the at least one sensor and the communication circuit. The at least one processor may be configured to: if change amount of movement of the electronic device obtained via the at least one sensor is within a threshold range, identify a wearing state of the electronic device via the at least one sensor, select a group which corresponds to the wearing state from among a plurality of groups including a first group including saturations of percutaneous oxygen (SpO2s) which may correspond to reference values based on photoplethysmogram (PPG) signals and a second group including other SpO2s which may correspond to the reference values, and obtain a first PPG signal via the at least one sensor, and obtain a first SpO2 using the selected group and a first reference value which is based on the first PPG signal. Other embodiments are possible.

Methods, systems, and devices for photoplethysmogram (PPG) analysis are described. Techniques described herein may enable a system to convert a PPG signal from a time-domain signal into an attractor reconstruction representation in three-dimensional (3D) space. Visualizations of such 3D attractor reconstruction projections may be displayed to a user via a smart device. Further, the system may use machine learning models to identify morphological features within 3D attractor reconstruction projections to perform physiological measurements and determine health-related insights for the user. For example, a smart device may input time-domain PPG signals and 3D attractor reconstruction projections into machine learning models that are configured to identify morphological features within the time-domain PPG signals and attractor reconstruction projections. The smart device may perform various physiological measurements, such as cardiovascular age, blood pressure, heart rate variability, and the like.

The present technical solution relates to the field of computing. A device for measuring physiological parameters of a user on the basis of brain electroencephalogram and photoplethysmogram data and acceleration and angular velocity data comprises the following, connected to one another by a noise-immune cable: an electronic circuit board having the following modules arranged thereon: an analog-to-digital converter, a Real Time Clock (RTC) quartz resonator, a read-only memory, a Bluetooth communication module, an accelerometer, a gyroscope, and a module for capturing photoplethysmogram data from a photoplethysmogram sensor; two spring-loaded dry pogo pin electrodes in the form of a comb of spring-loaded gold-plated pin contacts; two spring-loaded dry pogo pin electrodes in the form of a comb of spring-loaded gold-plated pin contacts, which are mounted on springs; a spring-loaded dry pogo pin reference electrode (REF); two spring-loaded dry pogo pin ground electrodes (GND); a module for activating / deactivating the device; and a photoplethysmogram sensor, wherein the device is designed to be embeddable in an over-ear stereo headset.

The present disclosure relates to: a system for calculating an estimated spray inhaled dose by using a turbidity image and a photoplethysmogram (PPG) measurement technique; and a control method therefor. According to the present disclosure, an inhaled drug dose can be estimated by using a change in pulse waves measured by a PPG measurement technique and the turbidity of an image captured of a drug that cannot be properly inhaled by a patient and thus disappears into the air in a mist without being administered, and feedback and notification on the inhaled drug dose can be given such that a user can easily know the inhaled dose of the drug relative to the total amount of the drug, and thus user convenience can be improved.