59 results about "Body condition" patented technology

A method for predicting a cardiac index (CI) for a patient includes receiving a set of a measurements from the patient that characterizes an anatomical condition, a physical condition, a physiological condition, or a combination thereof. The method also includes receiving a non-invasive physiological measurement from the patient. The method also includes performing feature extraction on the non-invasive physiological measurement to produce one or more extracted features. The method also includes combining the set of measurements and the extracted features to produce a dataframe. The method also includes predicting the CI for the patient. The CI is predicted using a prediction model based upon the dataframe.

The present invention relates to a system (100), especially a closed-loop system, for planning and / or providing neurostimulation / neuromodulation for enabling a body function, especially a motor function and / or autonomic function, and / or treatment of a body condition of a mammal, especially a human patient (P).

To solve the problem of being difficult for even a person of not being a specialist to grasp feelings and a physical condition of a pet animal.SOLUTION: A system includes movement analysis means by an AI, cry analysis means, and other sensor data analysis means as means for grasping feelings and a physical condition of a pet animal.SELECTED DRAWING: Figure 1

To address such a problem that since animals cannot speak, they cannot communicate intentions thereof to humans, accordingly, owners cannot acquire physical conditions of animals and are unable to manage the physical conditions of the animals.SOLUTION: A physical condition of an animal is determined by collecting saliva thereof and measuring a saliva ORP value. However, it is very difficult to get an animal to hold a swab for collecting saliva in the oral cavity, and even when an owner has a good relationship with the animal such as a pet, the animal may bare fangs and fiercely resist if the owner tries to get the animal to hold the saliva collection swab in its mouth. Accordingly, there is provided a saliva collection device that can collect saliva from the animal and easily determine the animal's physical condition by the saliva ORP value.SELECTED DRAWING: Figure 4

The application belongs to the technical field of data recognition, and provides a body age measuring method and device, the body age measuring method comprising: obtaining basic body data and current body composition data of a user to be detected; calculating a matching degree of the user to be detected in a matching library according to the basic body data and the current body composition data; and calculating a body age of the user to be detected according to the matching degree. The body age measuring method provided by the application can effectively overcome the problem in the prior art that only a single or small number of indexes are used to evaluate the body condition and the real age of the body cannot be fully reflected.

The present invention relates to a feces gas analysis method for classifying Bristol type and analyzing a body's condition and, more specifically, to a feces gas component ratio analysis method capable of classifying the Bristol type of feces according to a component ratio of gas for each feces and analyzing a body's condition. When using a feces gas component ratio analysis method for classifying Bristol type and analyzing a body's condition, according to one embodiment of the present invention, not only the Bristol type of a feces can be classified regardless of measurement time, person, diet, age, and feces weight, but also an eating habit of an individual can be identified, and thus, the analysis method can be applied to personal health monitoring through classification of the Bristol type of feces.

The present invention relates to a feces gas analysis method for classifying Bristol type and analyzing a body's condition and, more specifically, to a feces gas component ratio analysis method capable of classifying the Bristol type of feces according to a component ratio of gas for each feces and analyzing a body's condition. When using a feces gas component ratio analysis method for classifying Bristol type and analyzing a body's condition, according to one embodiment of the present invention, not only the Bristol type of a feces can be classified regardless of measurement time, person, diet, age, and feces weight, but also an eating habit of an individual can be identified, and thus, the analysis method can be applied to personal health monitoring through classification of the Bristol type of feces.

The system according to this embodiment aims to monitor changes in physical condition or abnormalities during bathing in real time and to respond quickly. [Solution] The system according to the embodiment comprises a monitoring unit, a detection unit, a notification unit, and a safety measures unit. The monitoring unit monitors body temperature, heart rate, and movement. The detection unit detects abnormalities based on the data monitored by the monitoring unit. The notification unit sounds an alarm or wakes the user with vibration based on the abnormality detected by the detection unit. The safety measures unit automatically takes safety measures if the user does not respond to the notification unit.

A personal monitoring system includes one or more passive biometric sensors and a communication device. A passive biometric sensor is operable to sense a body condition of a body in accordance with a sense signal at a sense frequency to produce sensed data of a body condition. The passive biometric sensor is further operable to transmit an e-field signal via the body regarding the sensed data, wherein the e-field signal is in accordance with an e-field transmit / receive frequency. The communication device is operable to receive the e-field signal via the body. The communication device is further operable to recover the sensed data from the received e-field signal.

The application discloses a body state monitoring method and a wristband type emergency monitoring ring, relates to the technical field of biological signal processing, and the body state monitoring method comprises the following steps: emitting red light of a preset first wavelength to the wrist part of a human body, collecting reflected light signals, obtaining a waveform physiological signal, determining a monitoring index of the human body, inputting the monitoring index into a warning model, obtaining a stress state probability of the human body, judging whether a warning is triggered or not based on the stress state probability and a preset probability threshold, and if the warning is triggered, issuing an alarm and sending corresponding body state data to a preset medical platform. The wristband type emergency monitoring ring can be worn on the wrist of a player to realize convenient detection, and through real-time monitoring of physiological data of the human body and a warning model, stress state detection and prediction are realized, so that the body state of the player can be monitored conveniently, in real time and accurately, and the effect of body monitoring of the player is improved.

To accurately grasp a pet's state and physical condition by analyzing an image of the pet and provide an owner with appropriate advice.SOLUTION: A system includes means for receiving an image of a pet, means for analyzing the received image, and means for displaying an analysis result.SELECTED DRAWING: Figure 1

Provided is a fecal gas analysis method for Bristol stool type classification and body condition analysis, and more particularly, to a fecal gas component ratio analysis method capable of classifying Bristol stool types and analyzing body conditions based on the component ratio of each fecal gas. The fecal gas component ratio analysis method for Bristol stool type classification and body condition analysis enables classification of Bristol stool types regardless of measurement time, subject, diet, age, or stool weight, and also allows identification of an individual's dietary habits. Therefore, the analysis method can be applied to personal health monitoring based on Bristol stool type classification.

A method or system for determining the susceptibility of a dog to periodontal disease and to the development of treatment regimens based upon the levels of susceptibility determined. The method can include determining a characteristic of the dog selected from at least one of a breed of the dog, a shape of the dog's head, a size category of the dog, a weight or body condition of the dog, a predicted size category or weight of the dog as an adult, or an age of the dog. The method can also include comparing the characteristic with a dataset comprising an occurrence of the periodontal disease in other dogs having the at least one characteristic. In addition, the method can include detecting an overall susceptibility level of the dog for the periodontal disease, and / or displaying a customized recommendation on a graphical user interface of the computer based on the overall susceptibility level of the dog.

To provide a body condition evaluation method and a body condition evaluation system for accurately evaluating the body condition of a person to be evaluated in a high temperature environment with high environmental temperature.SOLUTION: A body condition evaluation system for evaluating the body condition of an operator as a person to be evaluated uses a biological sensor including heartbeat detection means that detects heartbeat data of the person to be evaluated, acceleration detection means that detects acceleration data with the motion of the person to be evaluated, and temperature detection means that detects temperature data indicating temperature around the person to be evaluated, to generate a heartbeat prediction model of the person to be evaluated in advance on the basis of the obtained heartbeat data, acceleration data, and temperature data, and evaluates the body condition of the person to be evaluated on the basis of the difference between heartbeat data 52 detected during evaluation and a predicted value 51 calculated from the heartbeat prediction model.SELECTED DRAWING: Figure 5

Provided are a body condition display device, a body condition display method, a control program, a body condition transmission device, and a body condition display system that allow a temporal change in a body condition corresponding to the condition of a user to be presented. The body condition display device comprises: a storage unit that stores first temporal data indicating a temporal change in the body condition of a person that occurs when the person has taken a prescribed supplement; an acquisition unit that acquires the walking posture condition of the user on the basis of data acquired when the user walks; a generation unit that corrects the first temporal data on the basis of the walking posture condition, and generates second temporal data corresponding to the walking posture condition; and a display unit that displays the second temporal data.

The present application provides a posture monitoring method, device and electronic device, which relate to the field of data processing. In the method, the bioelectric field data for the human body sent by the electric field sensor array device is obtained; according to the bioelectric field data, the first posture change data of the human body is determined; the magnetic positioning data for the human body sent by the magnetic field sensor array device is obtained; according to the magnetic positioning data, the second posture change data of the human body is determined; the first posture change data and the second posture change data are input into the preset LSTM model to generate a dynamic posture three-dimensional model of the human body, so as to monitor the posture of the human body. The implementation of the technical solution provided by the present application is convenient for real-time monitoring of the patient's human posture.

A sensor device (110) for determining at least one physiological property of a subject (112), such as at least one analyte in a bodily fluid (114) of the subject (112) and / or at least one information on a body condition of the subject (112), is disclosed. The sensor device (110) comprises a housing (124) comprising an external housing part (126) configured to be positioned outside the subject's body (128), an internal housing part (130) configured to be positioned at least partially within a rectal cavity (132) of the subject (112), and an intermediate part (134) configured for connecting the internal housing part (130) and the external housing part (126). The intermediate part (134) tapers from the external housing part (126) to the internal housing part (130). The sensor device (110) comprises at least one sensing element (118) configured for determining the physiological property, wherein the sensing element (118) is positioned at least partially within the internal housing part (130). The sensor device further comprises at least one power source (144) configured for operating the sensing element (118) and at least one wireless communication interface (150) configured for providing measurement data obtained by the sensing element (118) to at least one further device (152).

The invention discloses a pet motor function evaluation system and method fused with multi-modal data, and the system comprises a terminal layer which comprises a mobile phone application, an intelligent device, and a professional tool; the data layer is used for storing a body condition database, a gait image library, an infrared thermal imaging library and a health archive library; the algorithm layer is used for deploying a model of combining a convolutional neural network with a long-short-term memory network and a multi-modal fusion analysis algorithm; and the application layer is used for outputting a motor function report, abnormal early warning and a rehabilitation scheme and linking offline medical services. Gait (walking and small running), body conditions, infrared thermal imaging, standing postures and load data are collected, fine anomalies such as joint angles and step lengths are quantitatively analyzed by utilizing a convolutional neural network in combination with a model of a long and short-term memory network, and a personalized rehabilitation scheme is output in combination with a full-cycle health file. The limitation of manual observation is broken through, early screening, accurate evaluation and continuous intervention of motor functions are realized, and full-dimensional health management is provided for joint diseases and dysplasia of pets.

The utility model discloses a pig body condition evaluation device, and relates to the field of sow body condition measurement. The pig body condition evaluation device comprises a mounting plate, the mounting plate is provided with a first end and a second end which are oppositely arranged, a rotating assembly groove, a containing groove and a working groove are formed in the first plate face of the mounting plate, the rotating assembly groove is arranged close to the second end, one end of the containing groove is communicated with the rotating assembly groove, and the other end of the containing groove extends towards the first end; one end of the working groove communicates with the rotary assembling groove; an indicator dial; the pointer assembly comprises a rotary connecting part and a pointer, the rotary connecting part is rotationally installed in the rotary assembling groove, one end of the pointer is perpendicular to the rotary axis of the rotary connecting part and fixedly connected with the rotary connecting part, and the other end of the pointer is rotationally positioned in the containing groove or rotationally positioned in the working groove and extends to the marking line of the corresponding indicating dial; and a clamping assembly. The pointer can rotate to be positioned and clamped in the accommodating groove or the working groove, is convenient to use and accommodate, and can be prevented from being collided and damaged.

The invention discloses a non-contact pig living body carcass character determination method and system, and the method comprises the steps: obtaining the multi-modal characteristic data of a pig through a non-contact sensor array, and the sources of the multi-modal characteristic data at least comprise the visible light image, three-dimensional depth information and temperature distribution of the surface of the pig; performing feature extraction and collaborative fusion on the multi-modal data to generate a comprehensive feature vector; and based on the comprehensive feature vector, evaluating and classifying the body condition of the pig through an intelligent multi-level classification algorithm. Complete non-contact automatic detection is achieved, an operator only needs to start the system and set detection parameters, direct contact with a pig is not needed, and the safety risk of the operator and the stress reaction of the pig are avoided. Compared with ultrasonic operation needing professional skills, the system is easy to operate, and common breeders can use the system skillfully through simple training. The system has the functions of automatic calibration, fault diagnosis and remote monitoring, and the maintenance cost and the technical threshold are greatly reduced.

A system is provided.SOLUTION: A system for managing a physical condition and an action of a dog, comprising: means for measuring an activity amount, a heart rate, and position information of an animal using a sensor; terminal means for receiving data acquired from the sensor; server means for analyzing the data received from the terminal means and evaluating a health condition of the animal; and means for notifying a user of an analysis result of the server means via the terminal means.SELECTED DRAWING: Figure 1

To provide a system which utilizes AI technology for analyzing a feeling, digitizing a feeling and a body condition on the basis of a daily conversation and voice on a telephone and detecting abnormality, for managing health of people and supporting people psychologically.SOLUTION: A system comprises: means for utilizing AI technique for analyzing a feeling; means for receiving input of voice data and conversion data; and means for digitizing a feeling and a body condition.SELECTED DRAWING: Figure 1

The present invention provides a method and system for managing the physical condition of live pigs based on computer vision scoring, the method comprising: obtaining an image group and a first basic description text of each live pig to be evaluated; screening a preliminary set of breeding pigs from all the live pigs to be evaluated based on the first basic description text of each live pig to be evaluated; extracting a hip image containing only the hip in the first image based on the image group, and calculating the body shape information of each live pig to be evaluated, and calculating the body shape score according to the body shape information; inputting the hip image into a preset hair scoring model to obtain a hair score; determining a target breeding pig from the preliminary set of breeding pigs in combination with the body shape score and the hair score, so as to help breeders breed the target breeding pigs. The present invention provides an accurate and convenient method for screening breeding pigs by real-time shooting, processing and analyzing images.

The invention belongs to the technical field of animal body condition evaluation, and particularly relates to a milk goat body condition automatic evaluation method and system. The method comprises the following steps: firstly, performing video acquisition and analysis on the backs of goats in a milking channel scene of a large-scale milk goat farm, and constructing an original image data set of the backs of the goats; then feature analysis is carried out on the key area of the original sheep back image in the original sheep back image data set, finally, the sheep body condition is automatically evaluated according to a YOLOv5 model, and the sheep body condition automatic evaluation result comprises a slightly-thin body condition, a medium body condition and a slightly-fat body condition. According to the YOLOv5 model and system, in the actual application process, automatic, non-contact, zero-stress and subjective evaluation independent of evaluators is achieved, animals are not restrained, the body conditions of the sheep can be rapidly and accurately evaluated, and the application prospect of the YOLOv5 model and system in the agricultural field is wider.

To enable appropriate notification of an abnormality of a person to be measured in consideration of a temporary body condition of the person to be measured, such as drinking or exercising.SOLUTION: A monitoring device 10 includes: a biological information acquisition unit 11 that acquires biological information on a person to be measured; an abnormality determination unit 16 that is based on the biological information, determines whether the person to be measured is in an abnormal condition; a notification unit 17 that when it is determined that the person to be measured is in the abnormal condition, notifies the fact accordingly; a condition determination unit 13 that determines whether the person to be measured is in a predetermined temporary body condition; and a notification restriction unit 15 that when it is determined that the person to be measured is in the temporary body condition, restricts notification made by the notification unit 17.SELECTED DRAWING: Figure 2

A physical condition diagnosis device (1) is provided with an information acquisition unit (11), an activity body temperature estimation unit (12), and a physical condition diagnosis unit (13). The information acquisition unit (11) acquires biological information including temperature information of at least one site of a target organism to be subjected to physical condition diagnosis, and variation factor information including activity information indicating activity of the target organism that varies the temperature of the site. The activity body temperature estimation unit (12) finds, from the biological information and the variation factor information, activity body temperature data indicating temperature variation of the site due to the activity. The physical condition diagnosis unit (13) finds a physical condition index, indicating a physical condition of the target organism, on the basis of the activity body temperature data.

The invention discloses a data processing device and system for detecting the aging degree and application of the data processing device and system. The technical problem to be solved is to detect the aging degree of an organism to be tested or cells to be tested. Specifically disclosed is a device, the device comprising: M1, a migration body condition acquisition module for acquiring the migration body condition of a subject body or a subject cell, the migration body condition comprising the number of migration bodies or the content of the migration bodies; the result output module is used for comparing the condition of the migration body of the tested organism or the tested cell with a reference value and giving a result, and the result comprises at least one of the following: C1, the aging degree of the organism or the cell; c2, physiological age of the organism or the cell, C3, whether the organism or the cell suffers from the senescence-related disease or not or the risk of the senescence-related disease, and C4, the senescence and / or age-related disease early-warning result can be judged through the device, and the senescence degree of the tested organism or the tested cell can be judged through the device.

The invention provides a pathological multi-information comprehensive diagnosis device based on multi-agent cooperation, which comprises the following steps: acquiring update information corresponding to each specified information channel, distributing each update information to a corresponding agent for information storage in combination with a corresponding information attribute, generating an information map corresponding to each agent in a specified period, the information atlas is modified according to management content uploaded by doctors, a multi-agent platform of each doctor is constructed, when the doctors submit the patient information, relevant diagnosis information of the patient information is searched in the multi-agent platform, simulation diagnosis is conducted on the patient information through the relevant diagnosis information, and a plurality of physical conditions are obtained; meanwhile, the diagnosis effectiveness corresponding to each physical condition is determined and displayed, efficient integration of pathological information, personalized intelligent agent management, accurate query and diagnosis effectiveness quantification are achieved, and scientific and reliable pathological diagnosis auxiliary support is provided for doctors.