18204results about "Medical automated diagnosis" patented technology

Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and / or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred.

Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and / or processed.

A system for transferring data into and out of medical devices wherein a personal data manager (PDM) is used in a web-based network is disclosed. The PDM co-operates with a programmer to enhance remote monitoring of implanted medical devices on a chronic basis to deliver clinical therapy in real time. The PDM is handheldable and mobile and expands the reach of the programmer by storing and forwarding data from the programmer to web-based network constituting a medical environment. The PDM is also implemented to store and forward information to PCs and similar peripheral equipment. In a specialized application, the PDM is configured to exchange data with the unregulated operational / functional segments of the IMD.

A monitoring apparatus that includes a sensor device and an I / O device in communication with the sensor device that generates derived data using the data from the sensor device. The derived data cannot be directly detected by the associated sensors. Alternatively, an apparatus that includes a wearable sensor device and an I / O device in communication with the sensor device that includes means for displaying information and a dial for entering information. Alternatively, an apparatus for tracking caloric consumption and caloric expenditure data that includes a sensor device and an I / O device in communication with the sensor device. The sensor device includes a processor programmed to generate data relating to caloric expenditure from sensor data. Alternatively, an apparatus for tracking caloric information for an individual that utilizes a plurality of classification identifiers for classifying meals consumed by the individual, each of the classification identifiers having a corresponding caloric amount.

A method, system, and computer program product related to the maintenance of optimal control of diabetes, and is directed to predicting patterns of hypoglycemia, hyperglycemia, increased glucose variability, and insufficient or excessive testing for the upcoming period of time, based on blood glucose readings collected by a self-monitoring blood glucose device. The method, system, and computer program product pertain directly to the enhancement of existing home blood glucose monitoring devices, by introducing an intelligent data interpretation component capable of predicting and alerting the user to periods of increased risk for hyperglycemia, hypoglycemia, increased glucose variability, and ineffective testing, and to the enhancement of emerging self-monitoring blood glucose devices by the same features. With these predictions the diabetic can take steps to prevent the adverse consequences associated with hyperglycemia, hypoglycemia, and increased glucose variability.

A system and method of managing therapy provided to patients in an institution. The system monitors all aspects of the medication delivery to a patient, as well as other information related to the patient, such as values of vital signs, laboratory results and patient factors such as history, diagnosis, allergies and the like. The system includes one or more databases of information, including institutionally developed rules, guidelines and protocol representing the best medical practices of the institution. The system provides alerts and / or recommendations based on the application of the rules to the information being monitored, and alerts care givers accordingly, providing for dynamic adjustment of the patient's therapy. The system also monitors the status of the alerts, and if no action is taken in a selected period of time, may escalate the priority of the alert and / or halt the delivery of medication to the patient until the alert is resolved.

The invention relates to a method which utilizes blood glucose (“BG”) sampling, insulin infusion / injection records, heart rate (“HR”) information and heart rate varability (“HRV”) information to estimate BG in the near future and to estimate of the risk of the onset of hypoglycemia. The invention also relates to an apparatus for predicting BG levels and for assessing the risk of the onset of hypoglycemia in the near future. The invention is based on two predetermined bio-mathematical routines: a network model of BG fluctuations and a BG profile for assessment of the risk of hypoglycemia.

A congenital heart disease monitor utilizes a sensor capable of emitting multiple wavelengths of optical radiation into a tissue site and detecting the optical radiation after attenuation by pulsatile blood flowing within the tissue site. A patient monitor is capable of receiving a sensor signal corresponding to the detected optical radiation and calculating at least one physiological parameter in response. The physiological parameter is measured at a baseline site and a comparison site and a difference in these measurements is calculated. A potential congenital heart disease condition in indicated according to the measured physiological parameter at each of the sites or the calculated difference in the measured physiological parameter between the sites or both.

The method of the present invention derives the illness probability of any selected person from a database of people stored in a computer and / or on a computer network using collected relational data from every person in the database, including whether a person has a contact relationship with another person in said database and utilizes a database of illnesses infection probability functions given different illnesses and states of nature including data relating to social relationship; type of disease; probability function of infection given a time unit; length of contact of the particular contact relationship link; and calculates at least one relational path between said person and each person in the data base with whom there is a contact relationship, direct or via other persons in the said database for deriving the illness probability of the selected person. In addition. the method of the present invention permits selecting the optimum treatment for a patient with an infectious disease based upon recommending a drug or drugs deemed optimum for treating the patient and permits generating alerts for the detection of emergency events such as the outbreak of an infectious disease or a biological, chemical or nuclear attack and for diseases management. Moreover, in accordance with the method of the present invention a given patient may compare his or her medical record with summary information of patients with similar defined criteria.

A method of providing performance reports to persons associated with the monitoring of an analyte level, such as blood glucose concentrations in a host, is provided. The performance reports can indicate a measure of an analyte variability of the host over a first analysis time period compared to a measure of analyte variability of the host over one or more other analysis time periods. The analyte level of the host can be received in each of a plurality of sensor readings from a continuous analyte sensor, such as multiple sensor readings per hour, so that the analyte variability that is used in determining the performance report of the host can be based on not just a few metered readings taken by the host, but a plurality of intermittent readings that are taken by a continuous analyte sensor, for example. Various types of performance reports can be generated, such as reports that comprise charts, graphs, tables, and / or other visual indicia of a host's performance during one analysis period versus another analysis period.

At least one aspect is directed to a wearable treatment device that includes a cardiac sensing electrode, a treatment electrode, a user interface, and a sensor. The cardiac sensing electrode detects cardiac information, and the treatment electrode applies treatment to the subject. The user interface receives quality of life information from the subject, and the sensor detects subject activity and wellness information. A controller coupled with the cardiac sensing electrode, the treatment electrode, the user interface, and the sensor receives the detected cardiac information, the quality of life information, and the detected subject activity and wellness information, and determines that treatment is to be applied to the body of the subject based upon the detected cardiac information. The controller can also adjust the treatment based on at least one of the detected subject activity and wellness information and the quality of life information, and an alarm module provides an alarm after the cardiac information is detected and before the treatment is applied to the body of the subject.

An automated, real-time, reprogrammable monitoring and control system for portable, remote sensors and subjects includes one or more portable monitoring units, each of the portable monitoring units having a sensor, a location-determining device, and a sensor interface unit. Each sensor interface unit is separately configured to monitor its sensor and to transmit that sensor's data, via a digital wireless communications network, to a central monitoring device. The portable unit is carried or worn by a person or animal, or affixed to an inanimate subject.

Neural networks are constructed (programmed), trained on historical data, and used to predict any of (1) optimal patient dosage of a single drug, (2) optimal patient dosage of one drug in respect of the patient's concurrent usage of another drug, (3a) optimal patient drug dosage in respect of diverse patient characteristics, (3b) sensitivity of recommended patient drug dosage to the patient characteristics, (4a) expected outcome versus patient drug dosage, (4b) sensitivity of the expected outcome to variant drug dosage(s), (5) expected outcome(s) from drug dosage(s) other than the projected optimal dosage. Both human and economic costs of both optimal and sub-optimal drug therapies may be extrapolated from the exercise of various optimized and trained neural networks. Heretofore little recognized sensitivities-such as, for example, patient race in the administration of psychotropic drugs-are made manifest. Individual prescribing physicians employing deviant patterns of drug therapy may be recognized. Although not intended to prescribe drugs, nor even to set prescription drug dosage, the neural networks are very sophisticated and authoritative "helps" to physicians, and to physician reviewers, in answering "what if" questions.

A medical characterization system is configured to input medical-related continuous parameters and discrete data so as to calculate a characterization timeline indicative of a physiological condition of a living being. A data source is in sensor communications with a patient so as to generate a continuous parameter. The data source also provides test data responsive to the patient at a test time. The test data is available to a characterization processor at a result time. The characterization processor is also responsive to the continuous parameter so as to generate a medical characterization as a function of time. A characterization analyzer enables the characterization processor to update the medical characterization in view of the test data as of the test time.

A repeater device for an advanced patient management system communicates with a medical device coupled to a patient to obtain data about the medical device and / or patient's condition. The repeater device maintains the data while if considers various factors when coordinating transfer of the data to a repository of the advanced patient management system. The repeater device may be configured to analyze the data to determine a degree of urgency, such as whether an emergency exists, and then determine when to transfer the data based on the degree of urgency. The repeater device may also be configured to test the condition of the communication medium being used to transfer the data to the repository, such as determining whether a telephone line is in use, and then determine when to transfer the data based on the condition of the of the communication medium.

A wearable platform embodied in a belt or patch provides physiological monitoring of soldiers during field operations or trauma victims at accident sites and makes health state assessments. The platform includes sensors for heart rate, body motion, respiration rate and intensity, and temperature and further contains a microprocessor and short range transmitter. An analog circuit running an algorithm obtains the R-wave period from the EKG signal and produces electrical pulses with the period between pulses corresponding to the R-wave period. A rule based processing engine having an evaluation algorithm is capable of making a medical evaluation of subject condition and determines a confidence level for the evaluation. The rules are subject to variation depending upon the subject population. The information is communicated wirelessly to a local hub for relay to a remote monitor.

Automated critical congenital heart defect (“CCHD”) screening systems and processes are described. A caregiver may be guided to use a single or dual sensor pulse oximeter to obtain pre- and post-ductal blood oxygenation measurements. A delta of the measurements indicates the possible existence or nonexistence of a CCHD. Errors in the measurements are reduced by a configurable measurement confidence threshold based on, for example, a perfusion index. Measurement data may be stored and retrieved from a remote data processing center for repeated screenings.

Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.

A system and method for monitoring and controlling the administration of at least one drug having anesthetic properties are provided. In certain embodiments, the method includes assembling physiological data, obtained from a plurality of sensors placed on a subject, into sets of time-series data, separating, from the sets of time-series data, a plurality of low frequency signals, and determining, from the plurality of low frequency signals, at least one of coherence information and synchrony information. The method can also include identifying, using the at least one of the coherence information and the synchrony information, spatiotemporal signatures indicative of at least one of a current state and a predicted future state of the patient consistent with the administration of at least one drug having anesthetic properties and generating a report indicating at least one of the current state and the predicted future state of the patient induced by the drug.

The present invention is a novel method of generating and representing the status of various physiological parameters that are monitored for patients during hospitalization. The system of present invention allows healthcare providers to easily view, at a glance, the status or trend of a patient or a plurality of patients as well as any changes in the parameter values.

A patient monitoring system can display one or more configurable health monitors on a configurable user interface. The health indicators are configured to display a physiological signal from a patient. The patient monitoring system can calculate ranges of values for the health indicator that correspond to a status of the patient. The health indicators can display different outputs based on the value of the physiological signal.

A method of context-based communication of physiological information over a network includes receiving physiological information, preparing a contextual data package, establishing a network connection, and communicating the contextual data package. The physiological information is received with a portable network interface module from at least one physiological monitor coupled to a single medical patient. The physiological information is related to a physiological condition of the medical patient, and the portable network interface module is exclusively assigned to the medical patient. The contextual data package is prepared with the portable network interface module. The contextual data package includes context information related to the medical patient and the physiological information. The network connection is established with a user over a network with the portable network interface module, and the portable network interface module manages the network connection with the user. The contextual data package is communicated to the user over the network with the network connection.

A sleep quality assessment approach involves collecting data based on detected physiological or non-physiological patient conditions. At least one of detecting patient conditions and collecting data is performed using an implantable device. Sleep quality may be evaluated using the collected data by an imlantable or patient-external sleep quality processor. One approach to sleep quality evaluation involves computing one or more summary metrics based on occurrences of movement disorders or breathing disorders during sleep.

A wearable platform embodied in a belt or flattened patch-like central body shaped to conform to the abdomen provides physiological monitoring of soldiers during field operations or trauma victims at accident sites and makes health state assessments. The platform includes sensors for heart rate, body motion, respiration rate and intensity, and temperature and further contains a microprocessor and short range transmitter. The respiration sensor uses conductive ink in a novel manner. A small square of the ink is coated on an arched structure so that flexing of the arch either to increase or decrease its radius of curvature modifies the resistance of the structure. This is utilized to set the unstressed resistance of the arch structure and to allow a greater range of resistance values capable of measuring distortions in different deformations of the arch. The respiration sensor supplements the motion information provided by an accelerometer sensor.

A system and method for classifying and measuring human motion senses the motion of the human and the metabolism of the human. A motion classification unit determines the motion type being carried out by the human and provides the motion classification information to an energy estimator and a health monitor. The energy estimator also receives the metabolism information and therefrom provides an estimate of energy expended by the human. The health monitor triggers an alarm if health related thresholds are traversed. The motion classification is also provided to a processing unit that in turn provides the data to a Kalman filter, which has an output that is provided as feedback to the motion classification unit, the energy estimator and health monitor. Altimeter, GPS and magnetic sensors may also be provided for monitoring the human motion, and initial input and landmark input data inputs are provided to the system.

The invention provides a body-worn monitor that measures a patient's vital signs (e.g. blood pressure, SpO2, heart rate, respiratory rate, and temperature) while simultaneously characterizing their activity state (e.g. resting, walking, convulsing, falling). The body-worn monitor processes this information to minimize corruption of the vital signs by motion-related artifacts. A software framework generates alarms / alerts based on threshold values that are either preset or determined in real time. The framework additionally includes a series of ‘heuristic’ rules that take the patient's activity state and motion into account, and process the vital signs accordingly. These rules, for example, indicate that a walking patient is likely breathing and has a regular heart rate, even if their motion-corrupted vital signs suggest otherwise.

A method and system are provided for consolidating and distributing information. Implementation of system functionalities for both restricted local and unrestricted system-wide uses are permitted. Open standards for hardware, software and firmware components and standardized medical codes, definitions and formats are supported. The preferred embodiment of the invention provides an integrated health care system. The invention can also be used to allow secure access to Social Security, annuity, retirement account, and benefit information, allowing individuals a unified view of their benefit and payment status. A centralized host maintains, consolidates, and redistributes information generated at all networked locations. Information is electronically transferred among the system components to link an individual's local records to those stored remotely. The individual information device, centralized host computer, and any other computers or networks linked to the system can therefore be automatically updated. An individual information device stores a service recipient's insurance information, a emergency records and critical health care histories. This information is accessed by the system for use in managing any aspect of the service recipient's health care. Portable terminals can be used to access the system. A portable terminal can also be used independently from the system to perform health care functions. Unrestricted system-wide, or restricted local uses are supported. Insurance coverage for services and treatments can be determined and the information transmitted directly from the carrier(s) to the service recipient and service provider(s). Supported features include service authorization, messaging, diagnostic services,coverage determination, billing, and electronic payment.

Pulse oximetry is improved through classification of plethysmographic signals by processing the plethysmographic signals using a neural network that receives input coefficients from multiple signal domains including, for example, spectral, bispectral, cepstral and Wavelet filtered signal domains. In one embodiment, a plethysmographic signal obtained from a patient is transformed (240) from a first domain to a plurality of different signal domains (242, 243, 244, 245) to obtain a corresponding plurality of transformed plethysmographic signals. A plurality of sets of coefficients derived from the transformed plethysmographic signals are selected and directed to an input layer (251) of a neural network (250). The plethysmographic signal is classified by an output layer (253) of the neural network (250) that is connected to the input layer (251) by one or more hidden layers (252).