32 results about "Abdominal surface" patented technology

A system and method for using pre-procedural images for registration for image-guided therapy (IGT), also referred to as image-guided intervention (IGI), in percutaneous surgical application. Pseudo-features and patient abdomen and organ surfaces are used for registration and to establish the relationship needed for guidance. Three-dimensional visualizations of the vasculature, tumor(s), and organs may be generated for enhanced guidance information. The invention facilitates extensive pre-procedural planning, thereby significantly reducing procedural times. It also minimizes the patient exposure to radiation.

An apparatus has a first electrode group (1) including at least one electrode and arranged on the abdominal surface of a subject (human) with the navel of the subject serving as a reference position, a second electrode group (2) including at least one electrode and arranged on the back surface of the subject, a third electrode group (3) including at least two electrodes and arranged on the surface of the subject at an intermediate position between the first and second electrode groups (1, 2), and a controller (8) to supply a current between an electrode selected from the first electrode group (1) and an electrode selected from the second electrode group (2), measure a voltage generated between two electrodes of the third electrode group (3), and compute an abdominal fat quantity of the subject according to the measured voltage.

The invention discloses a method for identifying the quality of Chinese mitten crabs based on a hyperspectral image technology. The method comprises: 1, acquiring a Chinese mitten crab sample comprising a plurality of female Chinese mitten crabs and a plurality of male Chinese mitten crabs, 2, identifying the quality of the Chinese mitten crabs according to the Chinese mitten crab sensory indexesof the agricultural standard NY-5064-2001, 3, acquiring and correcting hyperspectral images, 4, acquiring spectral information of the region of interest, 5, extracting abdominal spectral feature variables and back image feature variables, carrying out PCA analysis on the obtained crab shell hyperspectral images and abdominal surface spectral information to obtain first 3 principal components suchas back image texture feature information and abdominal spectrum information capable of characterizing the original information of the sample and 6, constructing an identification model which is a LS-SVM model and identifying the quality of Chinese mitten crabs through the identification model. The method overcomes the shortcomings of slow manual identification and subjective influence, and improves the intelligent detection level of Chinese mitten crabs.

The present invention provides a system for enabling the sensing of changes in pressure in response to uterine muscle tone changes relating to contractions, and for enabling the evaluation of contractions based thereon. The system enables a portion thereof to effectively and efficiently project at least partially below the non-compressed abdominal surface, and provides electrical isolation of the system elements. It enables ease of use and enhanced patient comfort. It also enables maximized sensitivity and minimized system loading retention pressure.

A 3D Fourier transform-based thoracico-abdominal surface measurement method belongs to the technical field of structured light 3D measurement. The method comprises the following steps: projecting three stripe images of different frequencies onto a thoracico-abdominal surface doing breathing exercise, using a camera to collect the stripe images, and carrying out 3D Fourier transform on the three stripe images separately; after 3D Gaussian filtering of the transform results, carrying out Fourier inverse transform, and extracting a package phase; unwrapping the phase to get an absolute phase; and finally, converting the absolute phase into height information based on the trigonometry principle. According to the invention, a stripe pattern sequence of a thoracico-abdominal surface changing with time is taken as a whole, spatial images and a time sequence are combined, and a 2D-FFA method is expanded into a 3D-FFA method by adding a time dimension, so that the interference signal frequency component in the time dimension is removed, and the accuracy of package phase extraction is improved; and further, by using a three-frequency phase unwrapping method, the reliability of package phase unwrapping is improved, and the anti-interference ability of 3D surface measurement is improved.

The invention discloses a thoracic and abdominal surface area respiratory signal period prediction method based on single-period and double-period hybrid judgment, and belongs to the technical fieldsof oncology, precise instruments, engineering technologies, mathematics and the like. The method comprises the following steps: firstly, constructing an ideal single-cycle respiratory signal, then carrying out cycle continuation to obtain an ideal multi-cycle respiratory signal, and finally, carrying out cycle extraction on the ideal multi-cycle respiratory signal, the whole extraction process being carried out in two imaginary cycles of which the data volume is doubled, and completing cycle extraction in two cycles. The method can accurately extract the period of the ideal multi-period respiratory signal, and lays a simulation experiment foundation for accurately predicting respiratory movement.

The invention discloses a human thoracic and abdominal surface area respiratory signal period prediction method in radiotherapy, and belongs to the technical fields of oncology, precision instruments,engineering technologies, mathematics and the like. The method comprises the following steps: firstly, constructing an ideal single-cycle respiratory signal, then carrying out cycle continuation to obtain an ideal multi-cycle respiratory signal, finally, carrying out cycle extraction on the ideal multi-cycle respiratory signal, carrying out the whole extraction process based on data and calculation of an imaginary cycle, and completing cycle extraction in one cycle. The method can accurately extract the period of the ideal multi-period respiratory signal, and lays a simulation experiment foundation for accurately predicting respiratory movement.

A method of detecting contractions in a user, the method may include providing alternating current with a determined frequency, through a first path in an abdominal tissue, between at least a first pair of electrodes positioned apart from each other over a first abdominal surface of the user. The method may further include repeatedly measuring a response of the abdominal tissue to excitation by the alternating current passing between at least a pair of electrodes, identifying at least one muscle contraction according to the changes in the response, and determining occurrence of uterine contractions based on at least one characteristic of the at least one muscle contraction. A system for detecting contractions in a user may include an alternating current generator, at least two electrodes, and a processor, operatively coupled to the at least two electrodes.

The invention discloses a thoracic and abdominal surface area respiration signal period prediction method combining three-period judgment, and belongs to the technical fields of oncology, precision instruments, engineering technologies, mathematics and the like. The method comprises the following steps: firstly, constructing an ideal single-cycle respiratory signal, then carrying out cycle extension to obtain an ideal multi-cycle respiratory signal, finally, carrying out cycle extraction on the ideal multi-cycle respiratory signal, carrying out the whole extraction process in three imaginary cycles with the same data volume, and completing the cycle extraction in three cycles. The method can accurately extract the period of the ideal multi-period respiratory signal, and lays a simulation experiment foundation for accurately predicting respiratory movement.

The invention relates to a method for testing a three-dimensional Fourier-transform thoracico-abdominal surface measuring means, which belongs to the technical field of structured light three-dimensional measurement. The method comprises the following steps: firstly, establishing a stripe pattern sequence intensity function model for stripe patterns photographed at different moments, adding an interference signal onto the stripe pattern sequence intensity function model, respectively performing one-dimensional, two-dimensional and three-dimensional operations on the model without noise and with added noise, and comparing three obtained phase errors. The method for testing the three-dimensional Fourier-transform thoracico-abdominal surface measuring means can clearly display difference of results of the three-dimensional Fourier-transform thoracico-abdominal surface measuring method proposed by the research group compared to the traditional 1D-FFA and 2D-FFA.

The invention provides a human thoraco-abdominal surface motion prediction method for radiotherapy, relating to the technical field of precision measurement, tumor medical science, statistical mathematics and the like. The human thoraco-abdominal surface motion prediction method includes the steps: collecting the thoraco-abdominal surface respiratory motion data, then filtering the noise during the process of collecting data of other motions except for the respiratory motion of a human body and the data of the thoraco-abdominal surface motion by using a high-pass filter and a low-pass filter respectively, acquiring feature data as a training set, and predicting the next set of feature data according to the feature data, and finally predicting the thoraco-abdominal surface respiratory motion data according to the given time. The human thoraco-abdominal surface motion prediction method for radiotherapy adopts a mode of predicting the feature quantity and the occurrence time separately, and combines the relationship between the feature quantity and the occurrence time and the occurrence time of the unknown quantity to realize the prediction of the unknown quantity, thus making full use of the orderliness and inertia of the feature quantity to achieve a more accurate prediction of the unknown quantity, and being beneficial to improvement of the radiotherapy effect of the malignanttumor of the digestive system.

The invention discloses a diaphragm prediction system and method based on PCA and TSSM models. The implementation thought of the diaphragm prediction system and method is as follows: reconstructing breathing time phase data obtained by 4DCT scanning into a human body three-dimensional image of each phase; segmenting a diaphragm image from the human body three-dimensional image, and calculating diaphragm displacement; segmenting a thoracic-abdominal surface image from the human body three-dimensional image, and calculating thoracic-abdominal surface displacement; carrying out principal component analysis on the diaphragm displacement and the thoracic and abdominal surface displacement respectively to reduce dimensions of the diaphragm displacement and the thoracic and abdominal surface displacement and map the diaphragm displacement and the thoracic and abdominal surface displacement into respective d-dimensional subspaces; and calculating a transformation matrix of diaphragm displacement mapped from the thoracic and abdominal surface displacement of the d-dimensional subspace to the d-dimensional subspace by ridge regression optimization. The method has the advantages that less harm is caused to a patient, the selected diaphragm mass center is more accurate, and the anti-interference performance is better.

The invention discloses a thoracic and abdominal surface respiratory movement signal super-resolution method, and belongs to the technical field of precise instruments and thoracic and abdominal radiotherapy; then a signal conversion module is used to convert a respiratory movement signal into a periodic signal; a phase difference multi-output module is used to form an equal-phase-difference three-output with a phase difference of pi/2; an equal-phase-difference ten-output with a phase difference of pi/10 is formed through a resistance chain multi-phase generation module; a square wave is formed through a multi-phase sine square wave conversion module; quasi-phase super-resolution square wave output and wrong-phase super-resolution square wave output are formed through a multi-phase fusionlogic gate module; and finally, a secondary super-resolution module is used for further super-resolution by using the phase difference between the quasi-phase super-resolution square wave output andthe wrong-phase super-resolution square wave output, and converting the respiratory movement signal of one period into square wave signals of multiple periods.

The invention relates to a system for monitoring labor of a person during child birth. The system of the invention comprises a first sensor, a second sensor, a processing unit and a data transmission unit. A first sensor is provided for detecting lactic acid in the sweat from the body of a person. A second sensor is provided for detecting muscular movement of the abdominal surface of the body of a person. Processing unit of the system determines the fatigue level and the descent of the fetus and of the respective patterns thereof, based on the corresponding and respective signals from the first sensor and second sensor, received and transmitted by data transmission unit. The invention also relates to a sensor for detecting lactic acid, a sensor for detecting muscular movement, and to a method for monitoring labor of a person during child birth.

The invention relates to a thoracic-abdominal surface respiratory movement signal phase-staggered super-resolution circuit, and belongs to the technical field of precision instruments and thoracic-abdominal radiotherapy. The circuit comprises a signal conversion module, a phase difference multi-output module, a resistance chain multiphase generating module, a multiphase sine square wave conversionmodule and a multiphase merging logic gate module, wherein the modules are used as a whole, any of the modules cannot be lacked, and the purposes that respiratory movement signals of one period are converted into phase-staggered square wave signals of a plurality of periods, and the phase difference is a quarter of the period of the phase-staggered super-resolution square wave output signals arejointly realized. According to the thoracic-abdominal surface respiratory movement signal phase-staggered super-resolution circuit disclosed by the invention, super-resolution of the thoracic-abdominal surface respiratory movement signals is realized, and the result can bring further technical advantages that in the process of a plurality of respiratory periods, through judging the frequency change of the square wave signals, the change of the respiratory frequency can be judged; and what's more, the period of the super-resolution square wave is far smaller than the respiratory movement period, so that within the time range smaller than one respiratory period, the change of the respiratory frequency can be judged.