44 results about "Patient volume" patented technology

A system for controlling a medical device in a patient. A display system displays an image of a volume of the patient in a virtual three-dimensional space. A stylus is controllable to actuate a virtual element in the virtual space. A navigation system controls the medical device in the patient volume based on a position of the actuated virtual element. This inherently three-dimensional interface allows a physician to actuate the medical device more intuitively than possible using a two-dimensional interface.

An electrode for placement in a human mouth for the measurement of muscle activity in the pharyngeal airway. The electrode includes at least one leg extending from a planer face so as to make electrical contact with the genioglossus muscle. The electrode permits a reduction in the number of patients requiring overnight polysomnography to prediagnose people with sleep apnea.

Methods for the diagnosis and evaluation of stroke and stroke sub-type employ a variety of bio-markers including cellular fibronectin (c-Fn) assembled as a panel for stoke diagnosis and evaluation. Methods are disclosed for selecting markers and correlating their combined levels with a clinical outcome of interest. In various aspects the methods permit early detection and differentiation of stroke subtypes, determination of the prognosis of a patient presenting stroke symptoms, and identification of a patient at risk for early hematoma growth and / or malignant massive cerebral artery infarction. The disclosed methods provide rapid, sensitive and specific assays to greatly increase the number of patients that can receive beneficial stroke treatment and therapy, and to reduce the human and economic costs associated with incorrect stroke diagnosis.

The present invention provides a method, apparatus, and computer instructions for improved control of clinical trials. In a preferred embodiment, after a clinical trial is initiated, data is regularly cleaned and processed to statistically analyze the data. The outcome includes a predictive measure of the timing and level by which the study will achieve one or more statistically significant levels, allowing mid-course modifications to the study (e.g., in population size, termination, etc.). Modification can be planned as part of the initial protocol, using thresholds or other appropriate criteria relating to the statistical outcome, making possible pre-approved protocol changes based on the statistical findings. This process has significant implications for the management of clinical studies, including ensuring the minimum possible time and number of patients are used in clinical studies to either prove (or disprove) the clinical efficacy of drugs or treatments.

A system and a method for circuit compliance compensated volume control in a patient respiratory ventilation system having a flow regulated feedback servo control loop, a volume delivery controller, and a patient volume observer. In the flow regulated feedback servo control loop, an estimate of patient volume is used for feedback control, such that a tidal volume is achieved upon servo regulation, and the peak inspiratory flow is modulated based on volume error between the set tidal volume and the estimated patient volume. Thereby, a constant inspiratory time and a constant I:E ratio can be maintained. In the volume delivery control, the feedback volume error is normalized to a volume error percentage, and the gain of the controller is dynamically changed based on the volume error percentage, such that the controller effort can be minimized when the volume target is approached. The patient volume observer is operative to estimate the patient delivered volume based on the estimated circuit volume and the measured net delivered volume, while the measured net delivered volume includes effects of leaks and valve dynamics and is synchronously captured with true patient breathing.

A system for circuit compliance compensated volume assurance pressure control in a patient respiratory ventilation circuit, having a patient circuit volume estimator for estimating a patient circuit compliance, a patient circuit volume estimator to estimate a circuit volume VOLCKT<sub2>—< / sub2>EST based on the patient circuit compliance, a patient volume observer, for estimating a patient volume VOLTID<sub2>—< / sub2>EST based on a measure delivered net volume VOLNET and the patient circuit compliance, a volume assurance controller for generating a circuit compliance volume compensation factor VOLTID<sub2>—< / sub2>CTL based on a preset assured volume VOLASS<sub2>—< / sub2>SET and the estimated patient volume VOLTID<sub2>—< / sub2>EST, and a decelerating inspiratory flow controller, operative to generate a decelerating inspiratory peak flow based on a preset inspiratory time TINSP and the volume compensation factor VOLTID<sub2>—< / sub2>CTL.

A system and a method for circuit compliance compensated pressure control in a patient respiratory ventilation system, having a pressure regulated feedback servo control loop, a pressure-regulated volume controller, and a patient volume observer. The patient volume observer is operative to estimate a patient volume, that is, the volume actually delivered to the patient by accounting for volume deviation or loss caused by patient circuit leakage and valve dynamics. Based on the difference between the estimated patient volume and a set tidal volume, the pressure-regulated volume controller is operative to generate and update a circuit compliance pressure compensation factor. The pressure regulated feedback servo control loop is operative to modulate the peak airway pressure based on the circuit compliance pressure compensation factor, so as to achieve the set tidal volume while maintaining a constant inspiratory time and a constant I:E ratio.

A method of calculating a dose distribution for a patient for use in a radiation therapy treatment plan. The method includes acquiring an image of a volume within the patient, defining a radiation source, and defining a reference plane oriented between the radiation source and the patient. The method also includes generating a radiation therapy treatment plan, wherein the plan includes a plurality of rays that extend between the radiation source and the patient volume, and calculating a three-dimensional dose volume for the patient volume from the plurality of rays that intersect the reference plane without first having to independently calculate a dose distribution on each of the plurality of rays. The method can also include displaying the three-dimensional dose volume.

A CT scanner system provides projection-like images of a patient volume. After a CT scan is obtained and a three-dimensional model of the patient is created, any synthetic view can be generated by choosing any array of projection lines, e.g. between a point and a surface (a flat plane, curved plane, spherical, etc) or between two surfaces (parallel or not) and summing across the projection lines. The synthetic projections can mimic certain traditional views, such as a ceph scan, Water's view, Caldwell's projection, etc or can provide a new view that is impossible or impractical with traditional x-ray equipment, such as a perfect parallel projection, or a projection that does not pass all the way through the patient.

The present invention relates to the design and implementation of a three stage computer-aided screening system that analyzes fundus images with varying illumination and fields of view, and generates a severity grade for diabetic retinopathy (DR) using machine learning. In the first stage, bright and red regions are extracted from the fundus image. An optic disc has similar structural appearance as bright lesions, and the blood vessel regions have similar pixel intensity properties as the red lesions. Hence, the region corresponding to the optic disc is removed from the bright regions and the regions corresponding to the blood vessels are removed from the red regions. This leads to an image containing bright candidate regions and another image containing red candidate regions. In the second stage, the bright and red candidate regions are subjected to two-step hierarchical classification. In the first step, bright and red lesion regions are separated from non-lesion regions. In the second step, the classified bright lesion regions are further classified as hard exudates or cotton-wool spots, while the classified red lesion regions are further classified as hemorrhages and micro-aneurysms. In the third stage, the numbers of bright and red lesions per image are combined to generate a DR severity grade. Such a system will help in reducing the number of patients requiring manual assessment, and will be critical in prioritizing eye-care delivery measures for patients with highest DR severity.

In some embodiments, a method includes receiving, in a processor, information indicative of (i) a treatment plan defining planned treatment beams, (ii) a patient volume relative to a reference, (iii) ideal intersections of the planned treatment beams with the patient volume at the time the patient is to be treated, (iv) any constraints that prevent achievement of the recommended repositioning using only the patient support, (v) an allowable change to a gantry position from a planned value and an allowable change to a collimator position from a planned value; defining, in the processor, a plurality of alternatives based at least in part on the information indicative of any constraints of the patient support and the information indicative of allowable movement of the gantry and collimator, each alternative defining a modified patient support position and modified beams, each modified beam being based at least in part on a respective one of the planned treatment beams, the change to the position of the gantry for the respective planned treatment beam and the change to the position of the collimator for the respective planned treatment beam; determining, in the processor, for each modified beam of each alternative, an intersection of the patient volume and the modified beam, with the patient volume positioned on the patient support and the patient support having the modified patient support position defined by the alternative; and defining, in the processor, for each alternative, a measure of difference between the ideal intersections and the intersections for the modified beams of the alternative.

The invention discloses a system and a method for registering triage and people stream control based on a smart phone. NFC (Near Field Communication) or a bar-code of the smart phone is used as an identity authentication method; information push is used as a method for informing a patient; after the appointment register is accomplished and the fee is paid, an algorithm of intelligent appointment number distribution is adopted so as to consider both on-site and appointment registered patients; the treating time intervals of the appointment registered and the on-site patients are separated; and the appointment registered patients are treated at different intervals, thereby reducing the treating people stream peak; for patients in treatment, the system adopts a mode of active people stream splitting and automatic background queuing, thereby reducing the number of practical queuing patients and the queuing time; the NFC or the bar-code of the smart phone, as the method for identifying the identities of the patients, takes part in the whole process of the treatment, for example, self or half-self services such as registration, fee payment, inspection, report taking, medicine taking, invoice printing and the like, thereby improving the efficiency and reducing the accumulation of the patients in different procedures.

A system for calming a patient positioned in a medical imaging device for imaging a patient. The system includes a scanner configured to generate scan data of a patient volume or area. The system also includes a processor configured to implement control operations, the control operations being directed to acquisition of the scan data or to processing of the scan data. In addition the system includes a patient bed for supporting the patient and status indicator lights for providing biofeedback to the patient that is indicative of breathing.

The invention discloses a method and a system for performing intervention according to information of chronic disease patients. The method comprises the steps that out-hospital health reminding schemes of the patients are generated according to hospital leaving advices given by a doctor; in-hospital diagnosis and treatment information, out-hospital medication information, vital sign information and healthy living mode information of the patients are collected, the collected information is processed, and labels are set; the patients are dynamically grouped according to the labels; and the doctor sends intervention information to the patients in a whole group and pushes the intervention information to each patient in the group. According to the embodiment, the collected patient information is more comprehensive in terms of dimension, contains patient diagnosis and treatment information, advice scheme information and self-examination information and also comprises patient daily behavior evaluation information, a data basis is provided for precise intervention by the doctor, precise dynamic label identification of the patients and intelligent grouping depending on the labels are realized, the doctor can quickly know the current health states of the patients by spending little time, and increase of the intervention workload of the doctor due to increase of the number of the patients managed by the doctor is avoided.

The invention provides methods for assessing the clinical status of a patient. In particular, the invention provides methods for identifying the presence of or likelihood of disease or disease recurrence. In practice, methods of the invention provide the ability to screen patients into one of three distinct clinical categories. Based upon measurement of clinically-relevant biomarkers in a sample obtained from a patient, the invention allows the unambiguous identification of patients who are not at risk for or do not have the relevant disease, the unambiguous identification of patients at increased risk or who have the disease; and the identification of patients who should receive standard of care treatment and / or monitoring. Use of the invention maximizes the number of patients who will receive accelerated intervention or monitoring and minimizes those patients who will receive unnecessary standard of care or accelerated intervention or monitoring.

A method for imaging a volume within a patient volume is provided. The method includes generating a first signal and a second signal, directing the first signal and the second signal to a spot in the patient volume; receiving a first response signal and a second response signal from the spot in the patient volume; providing a first image from of the patient volume using the first response signal; providing a second image from the patient volume using the second response signal; and combining the first image and the second image to form a composite image. The method includes receiving multiple images at multiple frequency ranges; selecting a region of interest including the plurality of images; selecting multiple border lines separating the region of interest into multiple sub-regions; selecting data from an image in a sub-region; and forming an image in the region of interest.

The invention provides a medical big data based medical insurance actuarial system and a medical big data based medical insurance actuarial method. The method includes: searching disease dates in medical data; acquiring historical weather information corresponding to the disease dates in the medical data from a weather information platform, and associating the medical data with the historical weather information; analyzing the medical data associated with the historical weather information to obtain patients susceptible to weather factors; classifying the patients susceptible to the weather factors according to preset age group dividing rules, and calculating incidences of diseases susceptible to the weather factors according to quantity of the patients, corresponding to each age group, susceptible to the weather factors, and calculating health insurance premiums of the patients, of each age group, susceptible to the weather factors according to the incidences of the diseases and preset medical insurance actuarial algorithms. By implementation of the medical big data based medical insurance actuarial system and the medical big data based medical insurance actuarial method, claim risks of medical insurances are reduced, and profitability of insurance companies is improved.

A method and system are provided. The method includes splitting, by a processor based on radiation beamlet contributions to neighboring voxels, at least one row in a voxel-beamlet matrix and corresponding elements of a target dose vector prior to, and in preparation for, a regression operation. The voxel-beamlet matrix has a row for each of a plurality of voxels in a three-dimensional patient volume and a column for each of a plurality of radiation beamlets. The target dose vector represents a desired energy amount for each of the plurality of voxels in the three-dimensional patient volume. The target dose vector corresponds voxel-by-voxel to rows in the voxel-beamlet matrix. The method further includes performing, by the processor, the regression operation on the voxel-beamlet matrix and target dose vector to obtain beamlet weights. The method also includes determining an actual radiation dosing scheme for a given patient based on the beamlet weights.

A method and system for a mini-screen dashboard is described with reference to healthcare workflow processes where multiple healthcare providers work together to manage their patients. The status criteria for patients is collected in one or more healthcare workflow databases accessible by the clinicians according to their various roles and functions using corresponding workflow applications. A central computer determines the number of patients that correspond with various status criteria of the patients that are already being monitored by the clinicians and the mini-screen unobtrusively displays the number patients that meet the status criteria in a series of indicator boxes that remain in the foreground of the clinicians' respective computer screens. The mini-screen dashboard is semi-transparent, becoming opaque when a box is selected and displaying the heading name of the status criteria corresponding with the selected box and also displaying the names of the patients satisfying the status criteria.

The present invention provides an arrangement for presenting visual images, for example to a patient to be investigated by a scanning medical apparatus of the kind having a patient volume intended to accommodate part at least of the patient; the arrangement comprising visual display means including at least one screen so disposed in relation to said apparatus as to display said images during approach of the patient to and / or during scanning of the patient by said apparatus; and means for supplying said at least one screen with images derived from part at least of the environment of said scanning apparatus, such that the images displayed to the patient reveal features of said environment which the patient would see directly, were the scanning apparatus not there.

The invention discloses combined imaging modalities for radiation treatment planning. A system includes acquisition of a first three-dimensional image of a patient volume using a magnetic resonance imaging scanner (110), acquisition of a second three-dimensional image of the patient volume using cone beam radiation emitted by the linear accelerator (205), and generation of a radiation treatment plan (S450, S460) based on the first image and the second image.

The invention provides a patient data screening method, system, equipment and a storage medium based on condition tree. The method comprises the following steps: collecting patients data; obtaining screening conditions set by a user and an association relationship among the screening conditions; generating a condition node of the condition tree according to each screening condition, generating a relationship node of the condition tree according to each association relationship, and establishing the association relationship between each relationship node and the condition node; counting the number of the patients in each node; displaying the condition tree, displaying the screening conditions at the condition nodes, displaying the type of the relationship node at the relationship node, connecting the associated condition node and the relationship node, and displaying the corresponding number of the patients at each condition node and the relationship node. According to the scheme, the user can more intuitively and clearly see the combined relation of the screening conditions, and meanwhile, each node has a number for displaying and screening, so that the relation of the number of people screened among specific conditions is convenient to compare.