45results about How to "Avoid hospitalization" patented technology

In an apparatus and method for detecting incipient heart failure of a patient. Impedance signals reflecting volume changes of the right ventricle and/or the right atrium of a heart of the patient are obtained. The impedance signals are processed to determine a first impedance parameter substantially reflecting a volume of the right ventricle, and a heart failure status is determined based on the first impedance parameter, wherein a decreasing first impedance parameter is determined to be an indication of a deterioration of the heart failure status.

Embodiments of the invention provide for a health monitoring system comprising an activity monitor. The health monitoring system further comprises a processor and a memory for storing machine readable instructions. The instructions cause the processor to derive activity counts from the activity data acquired by the activity monitor. The instructions further cause the processor to store the activity counts in the memory, and are associated with a time. The instructions further cause the processor to calculate at least two statistical parameters from the activity counts, wherein the at least two statistical parameters are descriptive of the activity counts as a function of time. The instructions further causes the processor to calculate a risk score for each of the at least two statistical parameters. The instructions further cause the processor to calculate a total risk score using the risk score for each of the at least two statistical parameters.

Reduction of a bone fragment of a bone fracture at a bone fracture site is accomplished through a minimally invasive access passage utilizing instruments having a working head actuated from a location remote from the bone fracture site, between an insertion configuration dimensioned and configured to present a minimal cross-sectional area for ready passage through the minimally invasive access passage and a working configuration dimensioned and configured to establish an essentially rigid working face of substantially greater cross-sectional area than the minimal cross-sectional area. The working head is actuated into the working configuration and manipulated from the remote location while in the working configuration to engage the working face with the bone fragment and manipulate the bone fragment into an anatomically appropriate reduced position at the bone fracture site.

The invention provides a neck-worn sensor that is a single, body-worn system that measures the following parameters from an ambulatory patient: heart rate, pulse rate, pulse oximetry, respiratory rate, temperature, thoracic fluid levels, stroke volume, cardiac output, and a parameter sensitive to blood pressure called pulse transit time. From stroke volume, a first algorithm employing a linear model can estimate the patient's pulse pressure. And from pulse pressure and pulse transit time, a second algorithm, also employing a linear algorithm, can estimate systolic blood pressure and diastolic blood pressure. Thus, the sensor can measure all five vital signs along with hemodynamic parameters. It also includes a motion-detecting accelerometer, from which it can determine motion-related parameters such as posture, degree of motion, activity level, respiratory-induced heaving of the chest, and falls.

In a monitor for monitoring diastolic relaxation of a ventricle of a heart, an impedance signal is measured in a ventricle of the heart and the occurrence of a notch in the impedance signal coincident with the entry of blood into the monitored ventricle is detected by forming a time derivative of the impedance signal and generating a loop by plotting impedance values of the impedance signals with respect to related time derivative values to form a loop for each cardiac cycle of the heart, and comparing the generated loop to a loop template representing a normal loop for the subject, to identify deviations in the loop from normal deviations in timing and shape of the notch.

Methods and systems for active patient management are provided. A central system can receive data about one or more patients from sources such as implantable medical devices within the patient, healthcare providers, pharmacies, and insurance entities. The system may automatically identify anomalous data or trends in the data, and automatically alert a healthcare provider associated with the patient. The alert may provide additional contextual information related to the alert data. Thus, the healthcare provider need not manually analyze patient data on a regular basis. The system also may perform predictive modeling to identify when a patient may need additional healthcare.

The invention provides systems for measuring blood pressure and stroke volume values from a patient. Both systems feature a floormat system and a body-worn sensor working in concert. In aspects, the floormat generates calibrations for both blood pressure and stroke volume measurements. It features a base having a bottom surface configured to rest on or near a substantially horizontal surface, and a top surface configured to receive at least one of the patient's feet. Within the floormat are weight and blood pressure-measuring systems that determine, respectively, the calibrations for stroke volume and blood pressure. Its transmits these parameters to the body-worn sensor, which further processes them, along with other signals, to determine real-time values of blood pressure and stroke volume.

The invention provides a neck-worn sensor that is a single, body-worn system that measures the following parameters from an ambulatory patient: heart rate, pulse rate, pulse oximetry, respiratory rate, temperature, thoracic fluid levels, stroke volume, cardiac output, and a parameter sensitive to blood pressure called pulse transit time. From stroke volume, a first algorithm employing a linear model can estimate the patient's pulse pressure. And from pulse pressure and pulse transit time, a second algorithm, also employing a linear algorithm, can estimate systolic blood pressure and diastolic blood pressure. Thus, the sensor can measure all five vital signs along with hemodynamic parameters. It also includes a motion-detecting accelerometer, from which it can determine motion-related parameters such as posture, degree of motion, activity level, respiratory-induced heaving of the chest, and falls.

A stand-on physiological sensor (e.g. floormat) measures vital signs and various hemodynamic parameters, including blood pressure and ECG waveforms. The sensor is similar in configuration to a common bathroom scale and includes electrodes that take electrical measurements from a patient's feet to generate bioimpedance waveforms, which are analyzed digitally to extract various other parameters, as well as a cuff-type blood pressure system that takes physical blood pressure measurements at one of the patient's feet. Blood pressure can also be calculated/derived from the bioimpedance waveforms. Measured parameters are transmitted wirelessly to facilitate remote monitoring of the patient for heart failure, chronic heart failure, end-stage renal disease, cardiac arrhythmias, and other degenerative diseases.

The invention provides a method for estimating if a patient suffering from Chronic Obstructive Pulmonary Disease (COPD) is approaching an exacerbation. Data with connected data indicative of levels of blood oxygen saturation obtained from the patient and their respective time of measurements are received, and a processor executes an algorithm involving: 1) calculating a statistical measure, e.g. a regression, of the level of blood oxygen saturation data taking into account available data within a time window with a limited length back in time, e.g. 30 days back in time, and 2) estimating if the patient is approaching an exacerbation by comparing a value obtained from said statistical measure to a reference value. Finally, an output indicative of a result of said estimation is generated. The method can ensure that COPD patients, e.g. in tele homecare, are properly treated before suffering from a severe exacerbation that could necessitate hospitalization. The COPD patient can easily measure blood oxygen saturation with an oxygen meter, and the algorithm can be executed on a mobile phone, a PC, on a server in contact with the patient via the interne, or on a dedicated oxygen meter device.

The invention provides systems for measuring blood pressure and stroke volume values from a patient. Both systems feature a floormat system and a body-worn sensor working in concert. In aspects, the floormat generates calibrations for both blood pressure and stroke volume measurements. It features a base having a bottom surface configured to rest on or near a substantially horizontal surface, and a top surface configured to receive at least one of the patient's feet. Within the floormat are weight and blood pressure-measuring systems that determine, respectively, the calibrations for stroke volume and blood pressure. Its transmits these parameters to the body-worn sensor, which further processes them, along with other signals, to determine real-time values of blood pressure and stroke volume.

The invention provides a neck-worn sensor that is a single, body-worn system that measures the following parameters from an ambulatory patient: heart rate, pulse rate, pulse oximetry, respiratory rate, temperature, thoracic fluid levels, stroke volume, cardiac output, and a parameter sensitive to blood pressure called pulse transit time. From stroke volume, a first algorithm employing a linear model can estimate the patient's pulse pressure. And from pulse pressure and pulse transit time, a second algorithm, also employing a linear algorithm, can estimate systolic blood pressure and diastolic blood pressure. Thus, the sensor can measure all five vital signs along with hemodynamic parameters. It also includes a motion-detecting accelerometer, from which it can determine motion-related parameters such as posture, degree of motion, activity level, respiratory-induced heaving of the chest, and falls.

The invention provides systems for measuring blood pressure and stroke volume values from a patient. Both systems feature a floormat system and a body-worn sensor working in concert. In aspects, the floormat generates calibrations for both blood pressure and stroke volume measurements. It features a base having a bottom surface configured to rest on or near a substantially horizontal surface, and a top surface configured to receive at least one of the patient's feet. Within the floormat are weight and blood pressure-measuring systems that determine, respectively, the calibrations for stroke volume and blood pressure. Its transmits these parameters to the body-worn sensor, which further processes them, along with other signals, to determine real-time values of blood pressure and stroke volume.

A cardiac rhythm management system provides for ambulatory monitoring of hemodynamic performance based on quantitative measurements of heart sound related parameters for diagnostic and therapeutic purposes. Monitoring of such heart sound related parameters allows the cardiac rhythm management system to determine a need for delivering a therapy and/or therapy parameter adjustments based on conditions of a heart. This monitoring also allows a physician to observe or assess the hemodynamic performance for diagnosing and making therapeutic decisions. Because the conditions of the heart may fluctuate and may deteriorate significantly between physician visits, the ambulatory monitoring, performed on a continuous or periodic basis, ensures a prompt response by the cardiac rhythm management system that may save a life, prevent hospitalization, or prevent further deterioration of the heart.

The invention provides a neck-worn sensor that is a single, body-worn system that measures the following parameters from an ambulatory patient: heart rate, pulse rate, pulse oximetry, respiratory rate, temperature, thoracic fluid levels, stroke volume, cardiac output, and a parameter sensitive to blood pressure called pulse transit time. From stroke volume, a first algorithm employing a linear model can estimate the patient's pulse pressure. And from pulse pressure and pulse transit time, a second algorithm, also employing a linear algorithm, can estimate systolic blood pressure and diastolic blood pressure. Thus, the sensor can measure all five vital signs along with hemodynamic parameters. It also includes a motion-detecting accelerometer, from which it can determine motion-related parameters such as posture, degree of motion, activity level, respiratory-induced heaving of the chest, and falls.

The invention provides a neck-worn sensor that is a single, body-worn system that measures the following parameters from an ambulatory patient: heart rate, pulse rate, pulse oximetry, respiratory rate, temperature, thoracic fluid levels, stroke volume, cardiac output, and a parameter sensitive to blood pressure called pulse transit time. From stroke volume, a first algorithm employing a linear model can estimate the patient's pulse pressure. And from pulse pressure and pulse transit time, a second algorithm, also employing a linear algorithm, can estimate systolic blood pressure and diastolic blood pressure. Thus, the sensor can measure all five vital signs along with hemodynamic parameters. It also includes a motion-detecting accelerometer, from which it can determine motion-related parameters such as posture, degree of motion, activity level, respiratory-induced heaving of the chest, and falls.

The invention provides a neck-worn sensor that is a single, body-worn system that measures the following parameters from an ambulatory patient: heart rate, pulse rate, pulse oximetry, respiratory rate, temperature, thoracic fluid levels, stroke volume, cardiac output, and a parameter sensitive to blood pressure called pulse transit time. From stroke volume, a first algorithm employing a linear model can estimate the patient's pulse pressure. And from pulse pressure and pulse transit time, a second algorithm, also employing a linear algorithm, can estimate systolic blood pressure and diastolic blood pressure. Thus, the sensor can measure all five vital signs along with hemodynamic parameters. It also includes a motion-detecting accelerometer, from which it can determine motion-related parameters such as posture, degree of motion, activity level, respiratory-induced heaving of the chest, and falls.

A stand-on physiological sensor (e.g. floormat) measures vital signs and various hemodynamic parameters, including blood pressure and ECG waveforms. The sensor is similar in configuration to a common bathroom scale and includes electrodes that take electrical measurements from a patient's feet to generate bioimpedance waveforms, which are analyzed digitally to extract various other parameters, as well as a cuff-type blood pressure system that takes physical blood pressure measurements at one of the patient's feet. Blood pressure can also be calculated/derived from the bioimpedance waveforms. Measured parameters are transmitted wirelessly to facilitate remote monitoring of the patient for heart failure, chronic heart failure, end-stage renal disease, cardiac arrhythmias, and other degenerative diseases.

The invention provides a neck-worn sensor that is a single, body-worn system that measures the following parameters from an ambulatory patient: heart rate, pulse rate, pulse oximetry, respiratory rate, temperature, thoracic fluid levels, stroke volume, cardiac output, and a parameter sensitive to blood pressure called pulse transit time. From stroke volume, a first algorithm employing a linear model can estimate the patient's pulse pressure. And from pulse pressure and pulse transit time, a second algorithm, also employing a linear algorithm, can estimate systolic blood pressure and diastolic blood pressure. Thus, the sensor can measure all five vital signs along with hemodynamic parameters. It also includes a motion-detecting accelerometer, from which it can determine motion-related parameters such as posture, degree of motion, activity level, respiratory-induced heaving of the chest, and falls.

There is provided a method and apparatus for adjusting a monitoring system which is arranged to receive measured values of a physiological characteristic of a subject and to generate an alarm when the received measured values meet at least one predefined alarm generation criterion. The method comprises obtaining data relating to a hospitalization of the subject, the data comprising a time of the hospitalization; obtaining a plurality of measured values of the physiological characteristic measured during a measurement period preceding the time of the hospitalization or a measurement period preceding and including the time of the hospitalization; defining a detection window as a time period ending with the time of the hospitalization and having a predetermined duration; determining whether the monitoring system would generate an alarm during the detection window based on applying the at least one predefined alarm generation criterion to the obtained plurality of measured values; and if the monitoring system would not generate an alarm during the detection window, altering the at least one predefined alarm generation criterion such that the time at which the monitoring system would generate an alarm based on applying the altered predefined alarm generation criterion to the obtained plurality of measured values is within the detection window.

A stand-on physiological sensor (e.g. floormat) measures vital signs and various hemodynamic parameters, including blood pressure and ECG waveforms. The sensor is similar in configuration to a common bathroom scale and includes electrodes that take electrical measurements from a patient's feet to generate bioimpedance waveforms, which are analyzed digitally to extract various other parameters, as well as a cuff-type blood pressure system that takes physical blood pressure measurements at one of the patient's feet. Blood pressure can also be calculated/derived from the bioimpedance waveforms. Measured parameters are transmitted wirelessly to facilitate remote monitoring of the patient for heart failure, chronic heart failure, end-stage renal disease, cardiac arrhythmias, and other degenerative diseases.

A stand-on physiological sensor (e.g. floormat) measures vital signs and various hemodynamic parameters, including blood pressure and ECG waveforms. The sensor is similar in configuration to a common bathroom scale and includes electrodes that take electrical measurements from a patient's feet to generate bioimpedance waveforms, which are analyzed digitally to extract various other parameters, as well as a cuff-type blood pressure system that takes physical blood pressure measurements at one of the patient's feet. Blood pressure can also be calculated/derived from the bioimpedance waveforms. Measured parameters are transmitted wirelessly to facilitate remote monitoring of the patient for heart failure, chronic heart failure, end-stage renal disease, cardiac arrhythmias, and other degenerative diseases.

A stand-on physiological sensor (e.g. floormat) measures vital signs and various hemodynamic parameters, including blood pressure and ECG waveforms. The sensor is similar in configuration to a common bathroom scale and includes electrodes that take electrical measurements from a patient's feet to generate bioimpedance waveforms, which are analyzed digitally to extract various other parameters, as well as a cuff-type blood pressure system that takes physical blood pressure measurements at one of the patient's feet. Blood pressure can also be calculated/derived from the bioimpedance waveforms. Measured parameters are transmitted wirelessly to facilitate remote monitoring of the patient for heart failure, chronic heart failure, end-stage renal disease, cardiac arrhythmias, and other degenerative diseases.

A stand-on physiological sensor (e.g. floormat) measures vital signs and various hemodynamic parameters, including blood pressure and ECG waveforms. The sensor is similar in configuration to a common bathroom scale and includes electrodes that take electrical measurements from a patient's feet to generate bioimpedance waveforms, which are analyzed digitally to extract various other parameters, as well as a cuff-type blood pressure system that takes physical blood pressure measurements at one of the patient's feet. Blood pressure can also be calculated/derived from the bioimpedance waveforms. Measured parameters are transmitted wirelessly to facilitate remote monitoring of the patient for heart failure, chronic heart failure, end-stage renal disease, cardiac arrhythmias, and other degenerative diseases.