116 results about "Maximum slope" patented technology

In a method and system for processing a photographic image having lightness values, L*, representing one of the colorimetric values of an original scene, the photographic image is transformed. The transformed image has a gamma as a function of CIE 1976 L*, which includes a dark region having a rising slope, a light region having a falling slope, and a plateau region having a slope constantly within 5 percent of a maximum value in said plateau region. The rising slope is at least twice as large as the absolute value of the falling slope. The plateau region is between 10 L* and 30 L* wide. Gamma is a derivative of visually perceived reproduced CIE 1976 L* versus scene CIE 1976 L*. Gamma has a maximum slope between 1.5 and 2.0.

The area or confluency of a sample is determined by obtaining quantitative phase data relating to the sample and background surrounding the sample. The boundary of the sample is determined from the quantitative phase data by forming a histogram of phase data measurements and taking the derivative of the histogram to thereby determine the point of maximum slope. The line of best fit on the derivative is used to obtain a data value applicable to the boundary so that data values either above or below the determined data value are deemed within the sample.

Automatic arterial input function (AIF) area determination is provided that can be used to facilitate the generation of parametric maps for perfusion studies based on various imaging modalities and covering a variety of tissues. Automatic AIF determination can be accomplished by extracting characteristic parameters such as maximum slope, maximum enhancement, time to peak, time to wash-out, and wash-out slope. Characteristic parameter maps are generated to show relationships among the extracted characteristic parameters, and the characteristic parameter maps are converted to a plurality of two-dimensional plots. Automated segmentation of non-AIF tissues and determination of AIF areas can be accomplished by automatically finding peaks and valleys of each phase of AIF areas on the plurality of two-dimensional plots.

Techniques are provided for use by implantable medical devices for determining a preferred or optimal pair of electrodes for delivering biventricular pacing therapy. In one example, the implantable device is equipped with a right ventricular (RV) lead and a multi-pole left ventricular (LV) lead. Briefly, for each of a selected set of RV/LV electrode pairs, electrocardiac parameters are detected within a patient in which the device is implanted, including parameters representative of an intrinsic biventricular electrical separation between LV and RV and parameters representative of a mechanical contraction delay in the LV. An optimal RV/LV electrode pair is then determined for delivering biventricular pacing based on an analysis of the intrinsic biventricular electrical separation and the mechanical contraction delay. Pacing latency, pacing delay from LV to RV, and the maximum slope of an LV evoked response may be used as proxies or surrogates for mechanical contraction delay.

A technique is provided for detecting episodes of cardiac ischemia based on an examination of the total energy of T-waves. Since cardiac ischemia is often a precursor to acute myocardial infarction (AMI) or ventricular fibrillation (VF), the technique thereby provides a method for predicting the possible onset of AMI or VF. Briefly, the technique integrates internal electrical cardiac signals occurring during T-waves and then compares the result against a running average. If the result exceeds the average by some predetermined amount, ischemia is thereby detected and a warning signal is provided to the patient. The maximum slope of the T-wave is also exploited. Techniques are also set forth herein for reliably detecting T-waves, which help prevent P-waves from being misinterpreted as T-waves on unipolar sensing channels. The T-wave detection technique may be used in conjunction with ischemia detection or for other purposes.

A method and a device for temperature prediction or measurement are disclosed. The method comprises: acquiring temperature data outputted from a thermometer probe; selecting some temperature data within a valid time period from the acquired data; determining a first specific time point according to the slope change rate of the temperature curve within the valid time period and an initial temperature within the valid time period; determining a second specific time point according to the slope at or before the first specific time point; calculating a value of temperature y according to an hyperbolic formula; determining a final temperature of the object according to the maximum slope of the temperature curve in the valid time period, the initial temperature of the temperature curve in the valid time period, and the value of temperature y.

The invention discloses an expressway pavement detection method based on lane lines. The method includes the steps: continuously acquiring at least one video frame image of a video file and acquiringa target video frame image according to at least one video frame image; detecting the edge of the target video frame image to obtain an edge image comprising road edge pixel points; scanning the edgeimage to obtain a road region, horizontally dividing the road region to obtain sub-regions, detecting each sub-region by probability Hough transformation to obtain road edge line segments, solving vanishing points according to all the edge line segments in the sub-region at the top end of the road region, and determining an intermediate control point of each sub-region not at the bottom end of theroad region and a boundary point of the sub-region at the bottommost end of the road region according to the fact whether a straight line with a maximum slope and a straight line with a minimum slopein each sub-region have an intersection point or not; drawing left and right lane edge lines according to the intermediate control point, the boundary point and the vanishing points. By the method, adaptability to bend scenes is improved.

A system and associated method for selecting or creating an area which meets meet a set of marking criteria, for example, corresponding to a minimum surface area; a maximum slope angle; and a minimum deviation from a specified height. A marking station is directed to mark the selected area that meets the marking criteria.

The invention disclose a method for enhancing contrast, which includes the following steps: whole contrast is adjusted. The step adopts a histogram equalization method which limits maximum slope of obtained grey mapping functions and the method is realized by the following way: pixels with pixel number exceeding a first threshold in each grey scale of the histogram of the current image are uniformly distributed to each grey scale again. By adopting the invention, the processed images can keep an average brightness; bright-dark contrast is enhanced, noise in the images can not be over enhanced; the contrast is effectively promoted and display effect is more natural.

The invention analyzes relationships between factors, within a patient population, to identify autonomic dysfunction patterns. Patient test results are then compared with the identified patterns to determine the patient's autonomic function. The invention can continually amend the patient population with new test results to create increasingly accurate normative data sets from which a patient's autonomic function can be more accurately assessed. The invention may apply this concept in an application service provider model. An embodiment of the invention may use a novel method of identifying ECG R-waves. The method locates R-waves by searching for maximum slope values, in signals, that exceed threshold values. Another embodiment of the invention entails utilizing data from a non-provocative HRV test and a provocative HRV test in an assessment tool to assess a patient's autonomic function.

The invention analyzes relationships between factors, within a patient population, to identify autonomic dysfunction patterns. Patient test results are then compared with the identified patterns to determine the patient's autonomic function. The invention can continually amend the patient population with new test results to create increasingly accurate normative data sets from which a patient's autonomic function can be more accurately assessed. The invention may apply this concept in an application service provider model. An embodiment of the invention may use a novel method of identifying ECG R-waves. The method locates R-waves by searching for maximum slope values, in signals, that exceed threshold values. Another embodiment of the invention entails a non-provocative HRV test whereby certain time domain and frequency domain factors are analyzed to determine a patient's autonomic function.

The invention belongs to the technical field of wireless location, and particularly relates to an ultra wide band wireless locating method based on skewness and maximum slope. The method mainly comprises four steps as follows: step A, collecting an integration energy block and calculating the skewness and the maximum slope, so as to obtain a joint parameter, and establishing a fingerprint database of three parameters, namely the joint parameter, a TOA (Time Of Arrival) estimated error, and a normalized threshold; step B, carrying out curve fitting on the fingerprint database, establishing a correspondence F between the joint parameter corresponding to the minimum TOA estimated error and the normalized threshold; step C, obtaining a joint parameter according to the skewness and the maximum slope of a collected real-time signal, calculating with use of the correspondence F so as to obtain the optimal normalization threshold, and obtaining the TOA estimated value according to the threshold; and step D, carrying out wireless location based on ultra wide band (UWB) by using a traditional UWB location algorithm according to the TOA estimated value. According to the ultra wide band wireless locating method based on skewness and maximum slope disclosed by the invention, the skewness and the maximum slope are combined for the first time; the method has the advantages of high location precision and good stability, and can be applied to high-precision wireless location of applications such as internet of things and wireless sensor networks.

The invention discloses a sensor layout method suitable for structure health monitoring and a structure identification method. The sensor layout method comprises the following steps of through a finite element method, acquiring strain curves of a structure under various conditions; acquiring standard curves under the various conditions; carrying out linear superposition processing on the standard curves under the various conditions to acquire a characteristic curve; picking an inflection point, a concave point and a convex point on the characteristic curve as characteristic points; selecting new characteristic points till that all the units are selected as the characteristic points and acquiring a curve of an average error and a characteristic point number; and selecting a point with a maximum slope change on the acquired curve of the average error and the characteristic point number and determining an arrangement scheme of a sensor. In the invention, from two aspects of sensor optimization arrangement and area distribution sensing, a traditional problem that deflection of a civil engineering structure is difficult to be accurately measured is solved; and the limited sensors are used to realize effective monitoring and performance assessment of a large-scale civil engineering structure.

The invention discloses a highway pavement detection method based on image processing, comprising the following steps: continuously collecting at least one video frame image of a video file, and obtaining a target video frame image according to the at least one video frame image; detecting the edge of the target video frame image to obtain an edge image containing road edge pixels; scanning the edge image to obtain a road region, transversely dividing the road region into sub-regions, and detecting each sub-region through probabilistic Hough transformation to obtain road edge line segments; calculating the vanishing point according to all the edge line segments in the sub-region on the top end of the road region, and determining the middle control points of each non-bottom sub-region and the boundary points of the bottommost sub-region according to whether there is an intersection point between the line with the maximum slope and the line with the minimum slope in each sub-region; anddrawing left and right lane edge lines according to the middle control points, the boundary points and the vanishing point. By applying the embodiment of the invention, the adaptability to a bend scene is improved.

A kink-resistant gas delivery tube configured to be directly connected to a circular male plug, the tube having an internal geometry of multiple concave and convex areas each having an apex, wherein an angle a between a tangent line to the apex of a concave area and a tangent line to a point of maximum slope between the apexes is 30 degrees or less, or wherein an angle β between a tangent line to the apex of a convex area and a tangent line to a point of maximum slope between the apexes is 30 degrees or less.

A blood pressure monitor and a method for calculating blood pressure thereof are revealed. The blood pressure monitor includes a cuff, an air pump, an air escape valve, a pressure sensor, a processing circuit, and an arithmetic circuit. The cuff is arranged a a body to be detected while and the air pump inflates the cuff and the air escape valve is for releasing air from the cuff. The pressure sensor is disposed on the cuff for detecting cuff pressure to generate analog pressures sensing signals. The processing circuit processes the analog pressure sensing signals and generates digital pressure sensing signals. A slope of each digital pressure sensing signal is calculated by the arithmetic circuit. A pressure value of the digital pressure sensing signal corresponding to a maximum slope is an average blood pressure. Then find a second derivative of each digital pressure sensing signal. A pressure value of the digital pressure sensing signal corresponding to a largest maximum value of the second derivative is systolic pressure while a pressure value of the digital pressure sensing signal corresponding to a smallest minimum value of the second derivative is diastolic pressure.

In DTM estimation, no pixel data is present within a unit grid in a predetermined range linked to extract a river region. For data excluding the river region, a first maximum slope value is set and DTM is estimated. A local slope is calculated from the estimated DTM. If the slope exceeds value, a second maximum slope value greater than the first is set and DTM is estimated again. In region extraction, for extracting a building region based on a photograph, different discretization widths are set, and brightness values of data are discretized into values discretely set by each discretization widths. Pixels having identical value in a discretized image are linked, and a region having a rectangle shape is extracted as candidate of a building region. From the respective different discretization widths extracted, a region is employed, as a building region, in decreasing order of closeness shape to a rectangle.

A method of processing signals in a hearing aid system (200, 300) comprises the steps of transforming two audio signals to the time-frequency domain, calculating the interaural coherence, deriving a first gain based on the interaural coherence, applying the first gain value in the amplification of the time-frequency signals, and transforming the signals back into the time domain for further processing in the hearing aid. The first gain value as a function of the value representing the interaural coherence comprises three contiguous ranges for the values representing the interaural coherence, where the maximum slope in the first and third range are smaller than the maximum slope in the second range, the first range comprising low interaural coherence values, the third range comprising high interaural coherence values, and the second range comprising intermediate interaural coherence values. The invention further provides a hearing aid system (200, 300) adapted for suppression of interfering speakers.

A semiconductor-encapsulating resin composition includes a curing agent and a compound (A) having a plurality of glycidyl ether groups. When ion viscosity of the resin composition is measured under conditions of a measurement temperature of about 175° C. and a measurement frequency of about 100 Hz, minimum ion viscosity appears at about 5 seconds or later and within about 40 seconds from a measurement starting point. The minimum ion viscosity is at least about 4.0 and at most about 7.0. A maximum slope of the ion viscosity appears at about 10 seconds or later and within about 60 seconds from the measurement starting point. The maximum slope is at least about 2.0 and at most about 6.0.

The invention relates to a radar level instrument signal processing method based on curve fitting. The method includes the steps of calculating the slope of each point of an echo rising edge, judging whether the duration time of the rising edge meets the minimum keeping time or not, determining a certain rising edge as a target estimation position through the maximum slope, fitting a parabola through the least square method according to data of a 60% to 90% section of a crest of the rising edge at the target estimation position, calculating the peak value and corresponding time, and finally accurately positioning a level instrument. By means of the method, the purpose of positioning the multi-diameter multi-echo crest is effectively achieved, the influences of the measurement environment and a target object itself on an echo rear edge are eliminated, and the positioning accuracy is improved.