18194results 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.

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 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.

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.

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.

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 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.

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 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.

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).