17940results about "Medical automated diagnosis" patented technology

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 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.

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.

An interactive computer assisted method reviews, and analyzes, a patient who needs one or more medications using a computer and a user associated therewith. The method includes the steps of pre-selecting patients to obtain a preliminary set of patients eligible for the interactive computer assisted method responsive to first predetermined criteria, and filtering the preliminary set of patients to identify and form a secondary set of patients from the preliminary set of patients having a greater likelihood of benefiting from the interactive computer assisted method responsive to second predetermined criteria. The method also includes the steps of enrolling a patient from the secondary set of patients, and communicating with the patient to obtain information to assist the user in determining whether therapy and/or medication issues are relevant. The method also includes the steps of preliminarily evaluating whether the therapy and medication issues are relevant responsive to the information, and communicating to a physician same. The method also includes the steps of determining whether the therapy and/or medication issues are relevant, and suggesting therapy changes, medication changes, or no changes for the patient.

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.

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.

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.

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 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.

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.