157 results about "Patient status" patented technology

A system is provided that furnishes expert procedural guidance based upon patient-specific data gained from surgical instruments incorporating sensors on the instrument's working surface, one or more reference sensors placed about the patient, sensors implanted before, during or after the procedure, the patient's personal medical history, and patient status monitoring equipment. Embodiments include a system having a surgical instrument with a sensor for generating a signal indicative of a property of a subject tissue of the patient, which signal is converted into a current dataset and stored. A processor compares the current dataset with other previously stored datasets, and uses the comparison to assess a physical condition of the subject tissue and/or to guide a procedure being performed on the tissue.

A system for actively monitoring a patient includes at least one body-worn monitoring device that has at least one sensor capable of measuring at least one physiologic parameter and detecting at least one predetermined event. At least one intermediary device is, linked to the body-worn monitoring device by means of a first wireless network and at least one respondent device is linked to said at least one intermediary device by a second wireless network wherein the respondent device is programmed to perform a specified function automatically when the at least one predetermined event is realized. The monitoring device operates to periodically transmit patient status data to the intermediary device but the system predominantly operates in a quiet state, providing very low power consumption.

A system and method for monitoring a patient includes a sensor configured to acquire physiological data from a patient and a processor configured to receive the physiological data from the at least one sensor. The processor is also configured to apply a spectral estimation framework that utilizes structured time-frequency representations defined by imposing, to the physiological data, a prior distributions on a time-frequency plane that enforces spectral estimates that are smooth in time and sparse in a frequency domain. The processor is further configured to perform an iteratively re-weighted least squares algorithm to perform yield a denoised time-varying spectral decomposition of the physiological data and generate a report indicating a physiological state of the patient.

A system for the detection of cardiac events occurring in a human patient is provided. At least two electrodes are included in the system for obtaining an electrical signal from a patient's heart. An electrical signal processor is electrically coupled to the electrodes for processing the electrical signal. The systems receives data regarding the patient's state (e.g. asleep, exercising). Patient state information is stored in a patient state array, thereby enabling the system to track the patient's state over time, and to select an appropriate test for detecting a cardiac event based on both past and present data regarding the patient's state.

A system for collection and analysis of patient information for automated remote patient care is presented. A medical device adapted to be implanted for an individual patient regularly records and stores measures sets containing individual measures which each relate to patient information. A database collects one or more patient care records organized to include a plurality of the collected measures sets, and stores the collected measures set into a patient care record for the individual patient within a database. A server periodically receives a set of the collected measures from the medical device adapted to be implanted, and analyzes one or more of the collected measures sets in the patient care record for the individual patient relative to one or more other collected measures sets stored in the database server to determine a patient status indicator.

This invention provides methods for non-invasively monitoring patients with congestive heart failure (CHF) and for reporting and/or warning of changes in the patients' status. The methods gather physiological data and combine the data into parameters by which the severity of CHF can be judged. Preferred parameters include periodic breathing and heart rate variability. This invention also provides systems for carrying out these methods which permit patients to engage in their normal daily activities. Preferably, physiological data analysis is performed by a portable electronic unit carried by the patients.

A system for determining a reference baseline of regularly retrieved patient information for automated remote patient care is presented. A medical device having a sensor for monitoring at least one physiological measure of an individual patient regularly records and stores measures sets relating to patient information during an initial time period. A database collects one or more patient care records by organizing one or more patient care records and storing the collected measures set into such a patient care record for the individual patient. A server receives the collected device measures set from the medical device, processes the collected device measures set into a set of reference measures representative of at least one of measured or derived patient information, and stores the reference measures set into the patient care record as data in a reference baseline indicating an initial patient status.

A device and method to detect and manage heart failure patient symptoms is provided. Respiration and/or cardiac parameters may be sensed or observed to determine the status of a patient's condition. These symptoms may be classified for appropriate patient disease management. A patient's activity level may be monitored in conjunction with respiration and/or cardiac parameters to provide additional patient status information. These symptoms may be classified for appropriate patient disease management. Pulmonary edema is one condition that may be determined to exist when a respiration parameter is out of range for a given sensed activity level. If edema is determined to be present, the device may be configured to respond to treat the edema.

The invention is a portable vital signs measurement instrument, systems and methods that provide a variety of measurement capabilities, including blood pressure, temperature, pulse oximetry, and other indications of patient status. The instrument, systems and methods include the ability to communicate wirelessly, for example using Wi-Fi (IEEE 802.11B), with a server, so that information can be entered easily, securely and reliably into a medical database system accessible by way of the server. The systems and methods provide for the instrument to initiate a communication session by attempting to discover a server access point in its vicinity.

Optimization of evoked response detection in an automatic capture detection system employed by an implantable cardiac stimulation device is presented. Patient state information is used to determine the appropriate settings of variables that are associated with the evoked response signal detection algorithm. The variables used by the evoked response signal detection algorithm are first established for the patient in a variety of positions. During operation of the implantable cardiac stimulation device, the patient state is monitored and the variables used by the evoked response signal detection algorithm are adjusted accordingly.

A portable ventilator uses a Roots-type blower as a compressor to reduce both the size and power consumption of the ventilator. Various functional aspects of the ventilator are delegated to multiple subassemblies having dedicated controllers and software that interact with a ventilator processor to provide user interface functions, exhalation control and flow control servos, and monitoring of patient status. The ventilator overcomes noise problems through the use of noise reducing pressure compensating orifices on the Roots blower housing and multiple baffling chambers. The ventilator is configured with a highly portable form factor, and may be used as a stand-alone device or as a docked device having a docking cradle with enhanced interface and monitoring capabilities.

A system for providing feedback to an individual patient for automated remote patient care is presented. A medical device adapted to be implanted for a patient collects and regularly records a device measures set containing individual device measures. A remote client processes voice feedback into a set of quality of life measures relating to patient self-assessment indicators. A database collects the identified collected device measures set, and the quality of life measures set into a patient care record. A server periodically receives the identified collected device measures set and the quality of life measures set from the medical device and the remote client, and analyzes the identified collected device measures set, the quality of life measures set, and the collected device measures sets in the patient care record for the individual patient relative to other collected device measures sets stored in the database to determine a patient status indicator.

A portable ventilator uses a Roots-type blower as a compressor to reduce both the size and power consumption of the ventilator. Various functional aspects of the ventilator are delegated to multiple subassemblies having dedicated controllers and software that interact with a ventilator processor to provide user interface functions, exhalation control and flow control servos, and monitoring of patient status. The ventilator overcomes noise problems through the use of a noise attenuating system comprising noise reducing pressure compensating orifices on the Roots blower housing and multiple noise reducing chambers. The ventilator is configured with a highly portable form factor, and may be used as a stand-alone device or as a docked device having a docking cradle with enhanced interface and monitoring capabilities.

An implantable medical device and method are provided for assessing autonomic tone and risk factors associated with arrhythmias and, based on this assessment, an early recurrence of ventricular tachycardia or ventricular fibrillation is predicted. Specifically, changes in R—R interval, heart rate variability, patient activity, and myocardial ischemia are measured prior to and after a detected an arrhythmia episode. A recurrence score is calculated as a weighted sum of measured parameters and compared to a prediction criterion. The prediction criterion may be a preset threshold score or an individualized episode template based on previously calculated recurrence scores associated with recurring episodes. Stored parameters and episode-related data may be downloaded for offline analyses for optimizing prediction criteria and monitoring patient status.

Nanoelectronic sensors, including sensors for detecting analytes such as CO₂, NO, anesthesia gases, and the like in human breath. An integrated multivalent monitor system is described which permits two or more analytes to be measured in breath, for example to monitor pulmonary conditions such as asthma. The monitor system may be configured to be compact, light weight, inexpensive, and to include a microprocessor capable of both analyzing measurements to determine patient status, and storing measurement history. Wireless embodiments provide such enhancements as remote monitoring.

An automated system and method for diagnosing and monitoring respiratory insufficiency and outcomes thereof is described. A plurality of monitoring sets is retrieved from a database. Each of the monitoring sets include recorded measures relating to patient information recorded on a substantially continuous basis. A patient status change is determined by comparing at least one recorded measure from each of the monitoring sets to at least one other recorded measure. Both recorded measures relate to the same type of patient information. Each patient status change is tested against an indicator threshold corresponding to the same type of patient information as the recorded measures which were compared. The indicator threshold corresponds to a quantifiable physiological measure of a pathophysiology indicative of respiratory insufficiency.