58 results about "Abnormal heart rate" patented technology

The invention provides a wearable human abnormity monitoring and alarming system and a working method thereof; the wearable human abnormity monitoring and alarming system comprises a wearable device which is used for acquiring real-time activities and heart rate conditions of a wearer and for judging whether alarming is implemented or not, wherein the wearable device is provided with a three-axis acceleration sensor, a heart rate sensor, a clock module, a vibrator, a help button, a storage battery module, a first wireless signal receiving and transmitting module and a control module; the wearable device is also provided with an application gateway which is used for storing data acquired by the wearable device and for achieving information interaction with related mobile terminals, wherein the application gateway is provided with a second wireless signal receiving and transmitting module, a data storage module, a processing and control module and a mobile or wired communication module. The wearable device can be used for judging whether the problem of sudden consciousness loss with the symptom of abnormal heart rate occurs or not through heart rate when the wearer is continuously immovable, and can be used for transmitting alarming and help information to related mobile terminal users through the application gateway, so as to rescue timely.

The invention concerns pharmaceutical compositions that contain a compound or compounds that can effectively regulate the activity of Type 5 Adenylyl Cyclase and methods for treatment of neurological diseases and disorders, as well as motor function loss therefrom, as well as treatment for cardiac conditions and diseases including conditions characterized by abnormal heart rate.

The invention provides an autoreflection heart rate detector and belongs to the field of wearable electronic equipment. The heart rate detector is wearable electronic equipment; the wearable electronic equipment comprises an integrated heart rate LED (Light-Emitting Diode) transceiver, a heart rate signal front end processing circuit, a capacitive skin contact sensor, an MCU (Main Control Unit), a tri-axis gravity acceleration sensor module, a micromotor, a shaking alarm module, a bluetooth low-power-consumption radio frequency module and a display module. The heart rate detector is capable of continuously detecting human body heart rate change condition of a user in real time for 24 hours and automatically analyzing the human body heart rate changes of the user under different human body physical states. According to the technical scheme, the heart rate detector is capable of monitoring whether the user wears the wearable electronic equipment; a wireless connection is established between the heart rate detector and intelligent mobile equipment by use of the bluetooth low-power-consumption radio frequency module, so that the wearable electronic equipment is capable of giving out an alarm prompt on abnormal heart rate by use of the wireless connection with the intelligent mobile equipment, preventing diseases or body discomfort prompted by heart rate abnormity of the user and realizing a remote human body heart rate monitoring function.

In one aspect of the invention, there is provided a method for early detection of subacute, potentially catastrophic illness in an infant. The method comprises: (a) monitoring heart rate variability in the infant; and (b) identifying at least one characteristic abnormality in the heart rate variability that is associated with the illness. This method can be used to diagnose illnesses such as, but not limited to, sepsis, necrotizing enterocolitis, pneumonia and meningitis. In another aspect of the present invention, there is provided a method for early detection of subacute, potentially catastrophic illness in an infant, which comprises: (a) monitoring the patient's RR intervals; (b) generating a normalized data set of the RR intervals; (c) calculating one or more of (i) moments of the data set selected from the third and higher moments and (ii) percentile values of the data set; and (d) identifying an abnormal heart rate variability associated with the illness based on one or more of the moments and the percentile values.

In one aspect of the invention, there is provided a method and apparatus for early detection of subacute, potentially catastrophic infectious illness in a premature newborn infant. The method comprises: (a) continuously monitoring heart rate variability in the premature newborn infant; and (b) identifying at least one characteristic abnormality in the heart rate variability that is associated with the illness. This method can be use to diagnose illnesses such as, but not limited to, sepsis, necrotizing enterocolitis, pneumonia and meningitis. In another aspect of the present invention, there is provided a method and apparatus for early detection of subacute, potentially catastrophic infectious illness in a patient. The method comprises: (a) continuously monitoring the patient's RR intervals; (b) generating a normalized data set of the RR intervals; (c) calculating one or more of (i) moments of the data set selected from the third and higher moments and (ii) percentile values of the data set; and (d) identifying an abnormal heart rate variability associated with the illness based on one or more of the moments and the percentile values.

The invention discloses an application method of a hybrid continuous information analysis technology in medicine. The method comprises the following steps: acquiring an electrocardiogram signal from electrocardiogram equipment by virtue of an electrocardiogram signal acquisition module in an electrocardiogram hybrid continuous analysis system; then pre-processing the electrocardiogram signal by virtue of an electrocardiogram detection module; extracting signal characteristics from the processed signal by virtue of an electrocardiogram detection method, and forming a plurality of basic heart rate events which are analyzed by a composite event processing heart rate identification module; comparing the basic heart rate events with information in a patient historical database module by virtue of the composite event processing heart rate identification module through a hybrid continuous analysis module therein, so that abnormal heart rate events are identified out; transmitting an abnormal heart rate alarm and pre-diagnosis information to a pre-diagnosis output module in the case of serious abnormal heart rate events; and transmitting alarm and help information to patient's doctors and / or family members by virtue of the pre-diagnosis output module.

The invention discloses a vehicle-mounted heart rate monitoring device. According to the vehicle-mounted heart rate monitoring device, a pulse wave signal photoelectric sensor is installed on a steering wheel of a vehicle, and collected signals are transmitted to a displayer to be displayed by means of the pulse wave signal photoelectric sensor through a processing circuit. The vehicle-mounted heart rate monitoring device has the advantages that when a driver operates the steering wheel, pulse wave data of the driver are collected automatically, so that the heart rate of the driver can be monitored in real time conveniently; the heart rate can be monitored more accurately under the condition that the driver is relaxed relatively, and the abnormal heart rate condition is fed back to the driver in time, so that safe driving is prevented from being affected; due to the fact that a heart rate monitoring device is combined with the steering wheel, the driver can use the device conveniently, noninvasive monitoring is achieved, and health monitoring is achieved.

The invention provides a piezoelectric film based falling and heart rate monitoring and automatic help system. The system accurately judges whether or not old people fall down by a PVDF (polyvinylidene fluoride) sole pressure sensor and PVDF pulse sensor based and combined judgment method, and monitors the heart rate in real time at the same time. By selection of working modes, convenience is brought to the old people for selecting various appropriate working modes at different moments. When the old people fall down or are in emergencies such as abnormal heart rate, the old people can be positioned, and short messages are sent to children, hospitals, community security guards and the like so as to allow the old people to obtain rescue in time. A temperature and humidity sensor is mounted on a multifunctional wristwatch, ambient temperature and humidity are collected and displayed on an LCD (liquid crystal display), the old people can obtain ambient data when locking at the watch for time, and convenience is brought to the old people for going out.

The invention provides an electrocardiograph monitor. The electrocardiograph monitor gives an alarm according to the user heart rate value monitored in real time. The electrocardiograph monitor is characterized in that that an electrocardiosignal collecting portion, a heart rate data calculating and generating portion, an input display portion, a user data storage portion, an abnormal heart rate value storage portion, an information storage portion, an image storage portion, a wireless communication portion, an alarming portion, a judgment portion and a control portion are included; the electrocardiosignal collecting portion comprises an electrocardiograph collecting end and collects electrocardiosignals from a user in real time, the image storage portion comprises a real-time heart rate image generated after user data are input, and the control portion is respectively connected with the electrocardiosignal collecting portion, the heart rate data calculating and generating portion, the input display portion, the user data storage portion, the abnormal heart rate value storage portion, the information storage portion, the image storage portion, the wireless communication portion, the alarming portion and the judgment portion.

The invention provides a fatigue detection method and system. The method comprises the following steps: when the fatigue detection function of an electronic device is started, controlling the camera of the electronic device to take a picture of the facial expression of a user in real time, and controlling the mouse touch part of the electronic device to detect the heart rate of the user in real time by detecting blood vessel variation signals of a finger pressing the mouse touch part; obtaining the picture of the facial expression of the user and the detected heart rate of the user; judging whether the facial expression of the user is a fatigue expression or not, and judging whether the heart rate of the user is an abnormal heart rate; and when the he facial expression of the user is a fatigue expression and the heart rate of the user is an abnormal heart rate, reading a fatigue warning tone from the memory of the electronic device, and controlling the loudspeaker of the electronic device to play back the fatigue warning tone to warn the user to take a rest. The method and the system provided by the invention can collect the facial expression of the user through the camera and detect the heart rate of the user through the mouse touch part to judge whether the computer user is in a fatigue state, and warn the user to take a rest when the user is in a fatigue state.

The invention discloses a delayed-release preparation of propranolol for treating cardiovascular diseases such as abnormal heart rate, angina, myocardial infarction and the like or a salt thereof. The aim of the invention is to provide a drug preparation which meets the intentions of chrono-pharmacology and chrono-therapeutics and has the delayed and impulse drug-release effects and a method for preparing the same. The delayed-release preparation comprises: a tablet core containing the active component propranolol with effective treating dose or the salt thereof and other auxiliary materials and one or two coating layers which are coated in a coating pan by the rollover method or coated by the fluidization coating method or dry pressing coating method. The composition and the thickness of the coating layers decide the time lag of releasing the drug.

The invention discloses a portable heart rate monitoring device and a heart rate monitoring method thereof. The method comprises: collecting image frames from a camera or a video in real time, and detecting a face image; tracking and positioning the face portrait; selecting a region of interest of the face portrait by using a face image adaptive region of interest selection and tracking algorithm;performing heart rate calculation based on a weighting mode with a variable weight; performing abnormal heart rate value calculation. According to the invention, self-adaptive region-of-interest selection is carried out on the face image, the region-of-interest can be flexibly selected, the interfered region can be eliminated, and the accurate region-of-interest is selected according to the facial features of the to-be-detected person. Automatic channel selection is performed on HSV signals of a region of interest of a face image, and signals passing through a band-pass filter are enhanced byusing a signal enhancement algorithm so as to reduce the influence of noise.

A method and a smart watch for detecting and prompting abnormal heart rate data, and the start watch comprises a main processor and an auxiliary processor. When the main processor is in a dormancy state, the auxiliary processor collects heart rate data and analyzes whether the heart rate data is abnormal. When it is determined that the heart rate data is abnormal, the auxiliary processor is interrupted and the main processor is woken up, and the abnormal data is submitted to the main processor for processing. When the processing is completed, the main processor returns to the dormancy state, so that the main processor does not need to participate in the heart rate data collection and analysis process. The power consumption during running of the auxiliary processor is one quarter of the power consumption of the main processor in the dormancy state.

The invention discloses a real-time heart rate monitoring and alarming device. The real-time heart rate monitoring alarm device comprises a microprocessor module, a data memory module and a power source module, wherein the data memory module and the power source module are connected with the microprocessor module. A clock module, a signal processing circuit module and a GPS (global positioning system) module are connected to an input end of the microprocessor module, the signal processing circuit module is used for signal amplifying, filtering and processing A / D (analog / digital) switching and is composed of an amplifying circuit, a filtering circuit and an A / D switching circuit, the GPS module is used for positioning the position of a monitored object, a pulse sensor is connected with an input end of the amplifying circuit, an LED (light-emitting diode) display, an audible and visual alarm and a 3G (the 3rd generation telecommunication) module are connected to an output end of the microprocessor module, and the 3G module is used for sending abnormal heart rate information and position information of the monitored object to a monitoring cellphone. The real-time heart rate monitoring and alarming device has the advantages of simple structure, reasonable design, convenience in use and carrying, high safety and intelligentization degree, large data size, good using effect and convenience in popularization and usage.

The invention discloses an interactive protective walking stick for old people and a control method thereof. Intelligent mobile phones allocated to persons taking care of old people are involved. Each intelligent mobile phone is provided with a second wireless communication module in communication connection with a first wireless communication module through a wireless communication network. Each intelligent mobile phone is further provided with a step counting App and a second data processing module. A cloud server contains a database storing the physical conditions of old people and an old people information database. The database storing the physical conditions of old people comprises unique identification for identifying each old man or woman, and the old people information database comprises the unique identification of each old man or woman and the mobile phone number of the intelligent mobile phone of the corresponding person taking care of each old man or woman. By means of the interactive protective walking stick for old people and the control method thereof, the defects that old people will fall down when the abnormal heart rate of old people appears for a long time, the track of old people cannot be tracked, and the physical conditions of old people cannot be shared and analyzed can be avoided.

The invention discloses a heart rate monitoring method which comprises the following steps: monitoring the heart rate of a first terminal user by the first terminal so as to obtain the heart rate information of the first terminal user; judging the heart rate information of the first terminal user by a preset algorithm; and if the heart rate of the first terminal user is abnormal, generating corresponding prompt information and sending the corresponding prompt information to a second terminal to provide prompt according to the prompt information. The invention also discloses a heart rate monitoring device and a heart rate monitoring system. The abnormal heart rate of the first terminal user can be monitored in time by the first terminal and sent to the second terminal, so that a second terminal user can know that the heart rate of the first terminal user is abnormal in time.

The invention discloses an AI heart rate exercise system which comprises first hardware integrally carrying the AI heart rate exercise system, wherein the first hardware is a mobile phone or a treadmill, an exercise bicycle, a spinning bicycle, a double-paddle rowing machine, an elliptical machine, a strength training device and the like; a second hardware used for collecting the physical sign state of a human body, has the wireless communication capability, and is any one or two of a human body scale and a heart rate watch; a posture acquisition probe; and an expression acquisition probe. The heart rate is used as the exercise basis, and the exercise intensity value output by hardware equipment is adjusted through a software program with AI as the core. The physical sign state is collected in a multi-dimensional mode, the exercise science serves as the basis of exercise, the user is informed of the exercise state and the correct posture through real-time voice and image guidance and prompt in the exercise process, and the blindness of the exercise can be avoided. Man-machine interaction is achieved through recognition based on the physical sign state, the exercise posture, the expression and the abnormal heart rate, and accidental injuries caused by exercise are prevented.

The invention discloses a special first-aid smart bracelet for patients with sudden diseases. The bracelet comprises a first-aid block, wherein the left end and the right end of the first-aid block are fixedly connected with watchbands, and the other ends of the watchbands are fixedly connected with smart blocks. The bracelet solves problems that a patient with sudden diseases is extremely prone to heart rate and beat abnormality, but related therapeutic drugs cannot be found in time, so that the illness state is deteriorated, and life safety of the patient is threatened, and when the device is used, drugs for treating the patient can be put into the device; when the intelligent wristband detects that the heart rate of the patient is changed abnormally, the medicine pops up in time and issent to the palm of the patient, so the patient can take the treatment pills in time, and the patient has sufficient time to take the treatment pills; therefore, a series of problems caused by missingthe taking time due to the fact that the patient cannot find the pill in panic caused by abnormal heart rate are avoided, and life safety of the patient is greatly guaranteed.

The invention discloses a bus intelligent emergency brake system, and relates to the technical field of vehicle braking. According to the main technical scheme, the system is characterized by comprising a driver signal end and an bus execution end, wherein the driver signal end comprises a heart rate detection module, a central processing module, a display module and a reminding module; the driversignal end is provided with a wireless signal transmission module; the bus execution end comprises a single chip microcomputer, a bus accelerator system, a bus braking system and a bus signal lamp; an intelligent hand ring is provided with power supply storage batteries; and the bus execution end is provided with a power supply device. According to the system, abnormal heart rate of a driver in astate of emergency can be monitored in real time, and a control signal is sent to the bus execution end according to abnormal heart rate data so as to control a bus to conduct braking, so that braking of the bus can be controlled in time under the condition that the driver fails to control the bus, thus ensuring safe running of the bus as we life and property safety of passengers.

The present invention relates to an agent for preventing and / or treating diabetic neuropathy comprising a 2-[(substituted-inden-7-yloxy)methyl]morpholine of the formula (I) or a pharmaceutically acceptable salt thereof as an active ingredient. The invention is useful for providing an excellent agent for preventing and / or treating diabetic neuropathy, and particularly useful for providing an agent for preventing and / or treating diabetic motor neuropathy (such as muscle weakness disorder (such as muscle weakness disorder with inability to walk independently)), diabetic sensory neuropathy (such as paresthesia (such as vibration perception abnormality), allodynia, hypoesthesia (such as numbness of extremities or cold sensation), or pain), or diabetic autonomic neuropathy (such as stool abnormality (such as constipation or diarrhea), urination disorder, impotence, orthostatic hypotension, sudomotor dysfunction, abnormal heart rate variability, or delayed gastric emptying). Further, the invention is particularly useful for providing an agent for improving pathophysiology of diabetic neuropathy.

The invention discloses a non-contact visual heart rate detection method for eliminating motion noise of a video ballistocardiogram signal. The method comprises the following steps that firstly, a face region of interest and feature points in the region are acquired; transverse and longitudinal coordinate motion track signals of the feature points are obtained by adopting a tracking algorithm; twosets are respectively constituted, rigid and non-rigid motion noise is removed through two-step canonical correlation analysis; pulse signals are screened out from typical correlation variables obtained through typical correlation analysis in the second step, the heart rate is extracted from the pulse signals through a power spectrum analysis method, and finally abnormal heart rate values are found out according to heart rate continuity and replaced with correct heart rate values. According to the invention, the interference of rigid and rigid motion noise can be removed, so that the accuracyof non-contact video heart rate detection is improved.

An embodiment of the invention provides a heart rate monitoring method and device, electronic equipment and a computer readable storage medium. The electronic equipment comprises multiple databases; each database corresponds to an environment temperature condition and comprises multiple historical heart rate data collected under the corresponding environment temperature condition. The heart rate monitoring method comprises steps as follows: acquiring to-be-processed data used for characterizing heart rate of a user, wherein the to-be-processed data carry the corresponding collection environment temperature; inquiring the database matched with the to-be-processed data according to the collection environment temperature; and judging whether the to-be-processed data are abnormal or not according to the matched database, so as to execute early warning for the abnormal to-be-processed data. The influence of the environment temperature on the heart rate of the user is added to judgment conditions of abnormal heart rate, the abnormal heart rate is accurately monitored, and false positives are reduced.

The invention belongs to the technical field of electric bicycles and particularly relates to an intelligent electric bicycle. The intelligent electric bicycle comprises an electric bicycle body, a recording control instrument and measurement transmitting chips, wherein the recording control instrument is arranged inside the electric bicycle body; the measurement transmitting chips are arranged on left and right handles of the electric bicycle body and are arranged at the positions, corresponding to palms, on the left and right handles of the electric bicycle body; the recording control instrument comprises a heart rate monitor and a controller; the measurement transmitting chips are connected with the heart rate monitor; the heart rate monitor is connected with the controller and is used for controlling the controller; the controller is connected with an electric control switch of the electric bicycle body and is used for controlling the electric control switch. The intelligent electric bicycle can be used for monitoring the heart rate information of a rider during riding; in an emergency, the abnormal heart rate of the rider can be detected, and the electric control switch of the electric bicycle can be timely and automatically turned off, so that serious consequences are avoided.

The invention relates to the technical field of artificial intelligence, in particular to a personnel management and control method and system based on machine learning, and the method comprises the steps: obtaining productivity expected values of a production line in different preset time periods, obtaining a productivity sequence, inputting the productivity sequence into a line speed prediction network, and predicting the real-time line speed of the production line in the next time period; the line speed of the production line is adjusted to the real-time line speed, the real-time personal heart rate sequence and the historical heart rate sequence of each operator on the production line are collected, and the historical heart rate sequence comprises at least two normal heart rate sequences and at least two abnormal heart rate sequences; and calculating similar distances between the real-time personal heart rate sequence and the normal heart rate sequences and between the real-time personal heart rate sequence and the abnormal heart rate sequences, comparing and calculating the plurality of similar distances to judge whether the real-time personal heart rate sequence is in a normal operation state, and maintaining the real-time linear speed when the real-time personal heart rate sequence is in the normal operation state. According to the method, the verification time waste is avoided by utilizing machine learning, and the purpose of accurately predicting the line speed is effectively realized.

The invention discloses a heart rate abnormity identification method, a heart rate abnormity identification device and terminal equipment. The method comprises the following steps: acquiring a reference heart rate sequence of a detected object; acquiring an original heart rate sequence with the minimum standard deviation detected by the detected object on the same day as a heart rate sequence to be identified; the heart rate sequence to be recognized and the reference heart rate sequence are aligned on the time axis, data pairs corresponding to the two sequences are obtained, and each data pair comprises a data point of one heart rate sequence to be recognized and a data point of one reference heart rate sequence; and obtaining a difference value between the data point of the heart rate sequence to be identified in each data pair and the data point of the reference heart rate sequence, and extracting an abnormal heart rate sequence fragment from the heart rate sequence to be identified according to the difference value corresponding to the data pair. According to the method, the abnormal heart rate sequence fragment can be extracted from the heart rate sequence to be recognized according to the reference heart rate sequence and the difference value of the data pair corresponding to the heart rate sequence to be recognized detected on the same day, and the recognition accuracy of heart rate abnormity is improved.

The invention discloses a processing method of gamma-aminobutyric acid mulberry leaf tea. The method comprises a liquid anaerobic preprocessing technology and an improved oolong tea processing technology. The mulberry leaf tea prepared by the technologies is suitable for semi-finished products of the tea for scenting of tea. The gamma-aminobutyric acid content in the semi-finished products is higher than 1.5mg / g. The scented tea has various physiology efficacy of reducing blood pressure, regulating abnormal heart rate, regulating the hormone secretion, nourishing the brain, controlling asthma,treating epilepsy, resisting eclampsia, resisting anxiety, alleviating pain, improving memory and the like.

The present invention is applicable to the field of medical engineering and provides a heart rate monitoring method and a device. The method comprises the following steps of obtaining a user's currentheart rate; when the current heart rate exceeds a preset heart rate range, determining the current heart rate as an abnormal heart rate; when the current heart rate is within the preset heart rate range, comparing the current heart rate with the predicted heart rate of the same period, and if difference between the current heart rate and the predicted heart rate of the same period is less than orequal to a preset heart rate threshold, determining the current heart rate as an abnormal heart rate; and if the difference between the current heart rate and the predicted heart rate of the same time period is greater than the preset heart rate threshold, determining the current heart rate as an abnormal heart rate. The predicted heart rate of the same time period of the current heart rate is generated according to the heart rate actually observed during a previous period and the predicted heart rate, and effectiveness of heart rate monitoring is improved.

The invention provides a protective crane for old people and a control method thereof. The protective crane comprises a plastic ring arranged on a crane body in a sleeving mode. The interior of the plastic ring is sequentially divided into a first cavity, a second cavity and a third cavity which are communicated. The wall of the first cavity and the wall of the third cavity are each provided with a through hole. A battery is arranged in the first cavity. A loudspeaker is arranged in the third cavity 4. A first data processing module is arranged in a single-chip microcomputer. The single-chip microcomputer is connected with a micro camera fixed to the outer wall of the crane body. A smart phone is further arranged for a person caring for the old people. A second wireless communication module in communicating connection with a first wireless communication module through a wireless communication network is arranged in the smart phone. A step counting App and a second data processing module are further arranged in the smart phone. In combination with the control method of the protective crane, the defect that it is very dangerous when the old people have abnormal heart rates for a long time and then fall down can be overcome.

The invention discloses a heart rate variability signal analysis method based on an extreme value energy decomposition method. The heart rate variability signal analysis method comprises the followingsteps: acquiring an ECG (electrocardiograph) signal at an unknown state at a provided moment and a provided sampling frequency, and performing denoising so as to obtain an RRI (interbeat interval) signal x(t); by taking the RRI signal x(t) as an original signal, decomposing the original signal x(t) into n extreme value intrinsic mode function components and one margin, and judging whether the RRIsignal is an abnormal heart rate variability signal or not according to the n extreme value intrinsic mode function components, wherein the n extreme value intrinsic mode function components obtainedby decomposing the original signal x(t) represent components of the original signals at different frequency bands. The RRI signal is analyzed by using the extreme value energy decomposition method, the original signal is decomposed into multiple components, that is, extreme value component functions, the energy of each component is calculated, and thus energy distribution of the RRI signal can beobtained.