445 results about "Index score" patented technology

A system and method for analyzing and improving the performance of an athletic motion such as a golf swing requires: instrumenting a user with inertial sensors and video cameras and monitoring a golf swing or such other athletic motion of interest; drawing upon and contributing to a vast library of performance data for analysis of the test results; the analysis including scoring pre-defined parameters relating to component parts of the motion and combining the parameter scores to yield a single, kinetic index score for the motion; providing a real-time, information rich, graphic display of the results in multiple, synchronized formats including video, color coded and stepped frame animations from motion data, and data / time graphs; and based on the results prescribing a user-specific training regime with exercises selected from a library of standardized exercises using standardized tools and training aids.

A system and method for analyzing and improving the performance of an athletic motion such as a golf swing requires: instrumenting a user with inertial sensors and video cameras and monitoring a golf swing or such other athletic motion of interest; drawing upon and contributing to a vast library of performance data for analysis of the test results; the analysis including scoring pre-defined parameters relating to component parts of the motion and combining the parameter scores to yield a single, kinetic index score for the motion; providing a real-time, information rich, graphic display of the results in multiple, synchronized formats including video, color coded and stepped frame animations from motion data, and data / time graphs; and based on the results prescribing a user-specific training regime with exercises selected from a library of standardized exercises using standardized tools and training aids.

A total hemoglobin index system derives total hemoglobin (tHb) index value utilizing a depopulated emitter with an index set of LEDs. A patient fails a tHb index test if tHb measurements are trending down and / or tHb values fall below a predefined index threshold. If a patient fails the tHb index test, a high resolution sensor derives a specific tHb measurement utilizing a high resolution set of LEDs. The number of high resolution set LEDs is greater than the number of index set LEDs.

A total hemoglobin index system derives total hemoglobin (tHb) index value utilizing a depopulated emitter with an index set of LEDs. A patient fails a tHb index test if tHb measurements are trending down and / or tHb values fall below a predefined index threshold. If a patient fails the tHb index test, a high resolution sensor derives a specific tHb measurement utilizing a high resolution set of LEDs. The number of high resolution set LEDs is greater than the number of index set LEDs.

A portfolio selector technique is described for selecting publicly traded companies to include in a stock market portfolio. The technique is based on a technology score derived from the patent indicators of a set of technology companies with significant patent portfolios. Typical patent indicators may include citation indicators that measure the impact of patented technology on later technology, Technology Cycle Time that measures the speed of innovation of companies, and science linkage that measures leading edge tendencies of companies. Patent indicators measure the effect of quality technology on the company's future performance. The selector technique creates a scoring equation that weights each indicator such that the companies can be scored and ranked based on a combination of patent indicators. The score is then used to select the top ranked companies for inclusion in a stock portfolio. After a fixed period of time, as new patents are issued, the scores are recomputed such that the companies can be re-ranked and the portfolio adjusted to include new companies with higher scores and to eliminate companies in the current portfolio which have dropped in score. A portfolio of the top 10-25 companies using this method and a relatively simple scoring equation has been shown to greatly exceed the S&P 500 and other indexes in price gain over a ten year period.

Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing an athletic movement and / or exercise and generating a fatigue value. Fatigue values may be determined for different groups. In one embodiment, a first value is determined for a muscle fatigue value and a second value is determined for a respiratory value. In another embodiment, a first value may pertain to a first muscle group and a second value may pertain to a second muscle group. A fatigue index may be created from values obtained during an athletic movement and / or a workout session. In further embodiments, a cumulative fatigue index may be determined. A cumulative fatigue index may consider values obtained during several workout sessions. Further, data obtained outside of workout sessions may be considered in determinations relating to fatigue values and / or indices.

A system and method for assessing the severity of medication errors associated with intravenous administration is provided. A harm index database includes harm index values for various parameters of medication administration. A medication administration device may access this database and assess the overall harm index for particular errors in order to provide appropriate alerts based on the severity of the error. Further, assessment of the harm index value may be used retrospectively to provide reports of event logs that include an overall harm index value associated with each alert.

A method for predicting a user's future glycemic state includes measuring a user's glucose concentration at intervals over a time duration, thereby generating a plurality of glucose concentrations as a function of time. First and second glucose prediction equations that are fits to the plurality of glucose concentrations based on first and second non-identical mathematical models, respectively, are then derived. The method also includes calculating first and second predicted glucose concentrations at a future time using the first and second glucose prediction equations, respectively. Thereafter, an average predicted glucose concentration and a merit index are calculated based on the first and second predicted glucose calculations. The plurality of glucose concentrations as a function of time, the merit index and average predicted glucose concentration are input into a trained model (for example, a Hidden Markov Model) that outputs a set of glucose concentration probabilities. The user's future glycemic state is then predicted based on the set of glucose concentration probabilities.

The invention relates to the determination of the clinical state of a subject. In order to bring about an uncomplicated method for monitoring the clinical state of a subject and for accomplishing a diagnostic scale, such as a nociception scale, on which a certain reading corresponds to the same level for all patients, a normalization transform is applied to a measurement signal containing physiological data obtained from a patient, whereby a normalized measurement signal having a predetermined value range is obtained. The normalization transform is dependent on predetermined history data, such as previous signal data of said measurement signal. A diagnostic index dependent on the normalized measurement signal is then formed, the diagnostic index serving as a measure of the clinical state of the patient. The diagnostic index may be formed based on one or more normalized measurement signals.

A method for predicting a user's future glycemic state includes measuring a user's glucose concentration at intervals over a time duration, thereby generating a plurality of glucose concentrations as a function of time. First and second glucose prediction equations that are fits to the plurality of glucose concentrations based on first and second non-identical mathematical models, respectively, are then derived. The method also includes calculating first and second predicted glucose concentrations at a future time using the first and second glucose prediction equations, respectively. Thereafter, an average predicted glucose concentration and a merit index are calculated based on the first and second predicted glucose calculations. The plurality of glucose concentrations as a function of time, the merit index and average predicted glucose concentration are input into a trained model (for example, a Hidden Markov Model) that outputs a set of glucose concentration probabilities. The user's future glycemic state is then predicted based on the set of glucose concentration probabilities.

Ambulatory or in-hospital monitoring of patients is provided with early warning and prioritization, enabling proactive intervention and amelioration of both costs and risks of health care. Multivariate physiological parameters are estimated by empirical model to remove normal variation. Residuals are tested using a multivariate probability density function to provide a multivariate health index for prioritizing medical effort.

Methods, systems and computer program code (software) products for generating a software quality index descriptive of quality of a given body of software code include identifying, by analysis of the body of software code, fault-prone files in the body of software code; constructing and training, by analysis of the body of software code, a model derived from analysis of the body of software code; and generating, based on the model, an index score representative of the quality of the body of software code.

A biological condition evaluation apparatus determines a symptom of a heart abnormality based on at least one index calculated from a heartbeat interval and / or a pulse interval. The apparatus determines whether it is in a referential period where an amount of change in the index is comparatively small. The apparatus determines whether a plurality of conditions are satisfied or not in an evaluation period set after the referential period. One condition is that an amount of change in the index in the evaluation period is greater than that observed during the referential period. Another condition is that a rate of change in the index is equal to or greater than a predetermined threshold value. The apparatus determines that there is a symptom of a heart abnormality, when both the conditions are satisfied.

A method 1300 and apparatus for deriving a health index for determining cardiovascular health of a person is disclosed herein. In a described embodiment, the method 1300 includes (i) obtaining values of respiratory rate, SpO2 and heart rate from a PPG signal of the person at step 1304; (ii) assigning a score based on the values from a reference scoring system at step 1306; and (iii) deriving the health index based on the assigned scores at step 1308 / 1314. A method and device for obtaining the PPG signal at optimum pressure is also disclosed.

A method for evaluating travel accommodations is provided that includes identifying a plurality of hotel properties and assigning a hotel marketability index score to one or more of the properties such that one or more of the properties may be ranked. The hotel marketability index score may be based on a selected one or more characteristics associated with one or more of the hotel properties, the characteristics including rate competitiveness, hotel availability, hotel location within a cluster location, and hotel quality within the cluster location.

The embodiments provide an absorbent garment, such as a disposable diaper, incontinent pad, sanitary napkin, and the like, that has an absorbent core that provides for a long term dryness profile. The dryness profile reflects real world long term usage of absorbent products. Such new absorbent garments can be constructed with absorbent cores containing synthetic fibers and super absorbent particulates.

The invention relates to a network security situation awareness method and system. The network security situation awareness method comprises the steps that key elements capable of being used for describing the network security situation are extracted, including network flow stability, threatening, vulnerability and user behaviors, second-level index score calculation and first-level index score calculation are carried out on the extracted key elements, first-level index scores include a network flow stability index score SS, a threatening index score TS, a vulnerability index score VS and a user behavior index score US, and finally the value of the entire network security situation is calculated by utilizing the weighted sum. The network security situation awareness method and system aim to establish comprehensive network security situation awareness indexes and improve the effectiveness and the real-time performance of the network security situation awareness.

In one aspect, the present disclosure relates to a method, in a computer network, for generating social index scores associated with key terms within web-based social network sites. Generally, the method comprises the steps of receiving an input of the key terms from a user, generating search queries from the key terms, providing the generated search queries to the web-based social network sites, capturing search results received from the web-based social network sites in response to the provided search queries, generating, from the captured search results, the social index scores using a processing algorithm, storing the generated social index scores in at least one database, and, providing at least one representation of the generated social index scores to the user in one or more of numerical, visual, and printed form.

A sleep state measuring apparatus includes an autonomic nerve index obtaining unit that obtains a user's autonomic nerve index; and a sleep periodicity index calculating unit that calculates a sleep periodicity index based on a temporal change of the autonomic nerve index and a change in a user's sleeping cycle, wherein the sleep periodicity index indicates whether the user is sleeping or not according to a user's ideal sleeping cycle as an index, or a dominance index calculating unit that calculates a parasympathetic nerve dominance index which shows dominance of a parasympathetic nerve index included in the autonomic nerve index with respect to a sympathetic nerve index included in the autonomic nerve index for a user during sleep.

A system, method and computer program product creates an index based on accounting based data, as well as a portfolio of financial objects based on the index where the portfolio is weighted according to accounting based data. A passive investment system may be based on indices created from various metrics. The indexes may be built with metrics other than market capitalization weighting, price weighting or equal weighting. Non-financial metrics may also be used to build indexes to create passive investment systems. Additionally, a combination of financial non-market capitalization metrics may be used along with non-financial metrics to create passive investment systems. Once the index is built, it may be used as a basis to purchase securities for a portfolio. Specifically excluded are widely-used capitalization-weighted indexes and price-weighted indexes, in which the price of a security contributes in a substantial way to the calculation of the weight of that security in the index or the portfolio, and equal weighting weighted indexes. Valuation indifferent indexes avoid overexposure to overvalued securities and underexposure to undervalued securities, as compared with conventional capitalization-weighted and price-weighted.

A system and method for recommending content to a user in a social network, including: logging user activity for the user in the social network; categorizing the user activity across all the user's networks, wherein each category is assigned a score based on relevance to the user; assigning weights to the user activities; calculating a social index score as a function of the weighted user activity categories; logging user content into categories; scoring the user content; and generating a content social index by weighting the content scores.

Factor retrieving is a major approach for pulse wave analysis. Stiffness index and cardiac output are widely used factors for cardiac risk detection. Research has been done on clinical pulse wave data which are collected by pulse oximeter. The result shows that collected factors have a positive correlation with certain cardiac risks. Some adjustments have been applied on the algorithms that increase the significance. In addition to the factor based analysis, other signal processing techniques for pulse waveforms are included such as bispectrum estimation, Wavelet transform, and weighted dynamic time warping. Bispectrum estimation and Wavelet transform have meaningful features of pulse waveforms with some special shapes. Weighted dynamic time warping compares the similarity of waveforms. It also includes medical significance into the calculation by adjusting the weight vector. This algorithm has higher accuracy when providing more samples to compare. The factor based analysis and waveform analysis compose an analytic model which can be used for risk evaluation, classification and disease detection.

A system may measure the virality of content items on a network. The virality may be measured for Internet content using indices. Indices may be generated that represent the share or news worthiness of content. An indexer may monitor the content items and generate a score which may be used to identify which content items are most likely to receive a user access request or referral from the remote server. A logic generator may display visual elements as graphical representations of the index score.

A method and apparatus for verifying a determined cardiac event in a medical device based on detected variation in hemodynamic status that includes a physiologic sensor sensing physiologic signals to generate a plurality of variation index samples corresponding to the sensed signals, and a microprocessor computing a variation index trend associated with a predetermined number of variation index samples of the plurality of variation index samples, determining whether deviations of the predetermined number of variation index samples over predetermined sampling windows are less than a deviation threshold, and determining, in response to the deviations being less than the deviation threshold, a corrected variation index trend in response to the changes in the variation index trend during the predetermined sampling windows.

A non-invasive system and method are provided for determining the presence or absence of neural, muscular, soft tissue, bone or joint damage or other disease affecting a person's hand. A preferred system includes a plurality of digit contact members, one of which is engageable by the person's thumb and others which are engageable by other digits of the hand, at least one of the other digits being innervated by the ulnar nerve. Force detectors are operatively connected to at least two of the digit contact members for measuring the quantity of force applied to the respective digit contact members by at least one digit innervated by the median nerve and a digit innervated by the ulnar nerve, as they engage in a natural gripping motion. The measured forces may be used to calculate quality indices useful in the diagnosis of disease and the monitoring of progression of disease.

The proposed invention is a method and system for the segmentation of dual-axis accelerometry signals for the purposed of identifying problematic swallowing events. The method and system employ a sensor, a data collection means including an algorithm for the analysis of the data. The proposed invention considers the stochastic properties of swallowing signals in both directions, A-P and S-I to extract events associated with swallowing. A segmentation algorithm may be applied to the signals to establish the time duration of swallows and swallows may be classified with respect to gender, body mass index, age or types of swallow.

The invention provides a multi-level automated assessing and training integrated service method and system. The method comprise the first step of establishing a question bank, the second step of extracting test questions in line with test paper composition setting parameters from the question bank according to a preset test paper composition strategy to form appointed test papers, the third step of pushing the appointed test papers to question answering clients and calculating the grades of final papers when the final papers, fed back by the question answering clients, filled in test question answering information are received to figure out the grades of the test papers, the fourth step of establishing a capability assessing model, the fifth step of calculating assessing index scores of all terms of capacity, and the sixth step of pushing obtained learning resources to learning clients. By the utilization of the method and system, the learning and training mode is automated in the whole process, and a learning effect and learning efficiency are improved. In addition, as human intervention is not required in the assessing process, the credibility of assessing results is improved, and the assessing results can more objectively, truly and comprehensively reflect the capacity of assessed persons. Besides, the learning effect and learning efficiency are further improved.

This invention relates to a system and a kit for stress and relaxation management. A cardiac activity sensor (101) is used for measuring the heart rate variability (HRV) signal of the user and a respiration sensor (102) for measuring the respiratory signal of the user. The system contains a user interaction device (103) having an input unit (104) for receiving user specific data and an output unit for providing information output to the user. A processor (106) is used to assess the stress level of the user by determining a user related stress index. The processor is also used to monitor the user during a relaxation exercise by means of determining a relaxation index based on the measured HRV and respiratory signals, the relaxation index being continuously adapted to the incoming measured signals and based thereon the processor instructs the output unit to provide the user with biofeedback and support messages. Finally, the processor uses the user specific data as an input in generating a first set of rules defining an improvement plan for self-management of stress and relaxation. The first set of rules is adapted to trigger commands instructing the output unit to provide the user with motivation related messages. Also, at least a portion of said user specific data is further used to define a second set of rules indicating the user's personal goals.