6930results about "Health-index calculation" patented technology

An implantable intraocular physiological sensor for measuring intraocular pressure, glucose concentration in the aqueous humor, and other physiological characteristics. The implantable intraocular physiological sensor may be at least partially powered by a fuel cell, such as an electrochemical glucose fuel cell. The implantable intraocular physiological sensor may wirelessly transmit measurements to an external device. In addition, the implantable intraocular physiological sensor may incorporate aqueous drainage and/or drug delivery features.

A detecting, monitoring and reporting apparatus includes at least two sensors for facilitating the generation of data indicative of physiological parameters of the individual and/or data indicative of a contextual parameters of the individual. A processor is coupled to the sensors and is adapted to generate at least one of derived data from at least a portion of the data indicative of physiological parameters and analytical status data from at least a portion of at least one of the data indicative of physiological parameters, the data indicative of contextual parameters, the derived data and the analytical status data. A memory retrievably stores the data and one of various ways of transmitting the data is provided.

An ultrasonic system useful for providing imaging, therapy and temperature monitoring generally comprises an acoustic transducer assembly configured to enable the ultrasound system to perform the imaging, therapy and temperature monitoring functions. The acoustic transducer assembly comprises a single transducer that is operatively connected to an imaging subsystem, a therapy subsystem and a temperature monitoring subsystem. The ultrasound systems may also include a display for imaging and temperature monitoring functions. An exemplary single transducer is configured such that when connected to the subsystems, the imaging subsystem can generate all image of a treatment region on the display, the therapy subsystem can generate high power acoustic energy to heat the treatment region, and the temperature monitoring subsystem can map and monitor the temperature of the treatment region and display the temperature on the display, an through the use of the single transducer. Moreover, the acoustic transducer assembly is configured such that the imaging, therapeutic heating and temperature monitoring of the treatment region can be conducted substantially simultaneously.

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 sports electronic training system, and applications thereof, are disclosed. In an embodiment, the system comprises at least one monitor and a portable electronic processing device for receiving data from the at least one monitor and providing feedback to an individual based on the received data. The monitor can be a motion monitor that measures an individual's performance such as, for example, speed, pace and distance for a runner. Other monitors might include a heart rate monitor, a temperature monitor, an altimeter, et cetera. Feedback provided to a user typically includes, for example, training information such as whether the user is satisfying specific workout and/or training criteria. In an embodiment, the functionality of the sports electronic training system is enhanced by enabling the portable electronic processing device to interact with other devices and applications, for example, using the Internet.

Method for digitally determining the daily insulin regimen for a diabetic patient. The invention divides the patient's day into adjustable time intervals containing basal insulin dosage rates and Carbohydrate-to-Insulin Ratio(s) (for determining meal insulin doses). The invention identifies the Corrective Insulin doses over a time interval as an “error” in the Prescription Insulin (Basal Insulin+Meal Insulin). Methods involve first estimating the change to one of these two components of Prescription Insulin, and then determining the change to the other by subtracting from the error. One method estimates Change in Meal Insulin distributed among intervals proportional to old Meal Insulin. Another method lumps After-Meal Corrective Insulin together with Meal Insulin. Another method splits the interval at the After-Meal Corrective Dose and determines Basal from Time-Boundary Corrective Dose. Data may be obtained from the previous day, and a small fraction of error applied, leading to asymptotic reduction of error. Data may be obtained from recent history, and a larger fraction of error applied by doctor or automatic method.

A detecting, monitoring and reporting apparatus includes at least two sensors for facilitating the generation of data indicative of physiological parameters of the individual and/or data indicative of a contextual parameters of the individual. A processor is coupled to the sensors and is adapted to generate at least one of derived data from at least a portion of the data indicative of physiological parameters and analytical status data from at least a portion of at least one of the data indicative of physiological parameters, the data indicative of contextual parameters, the derived data and the analytical status data. A memory retrievably stores the data and one of various ways of transmitting the data is provided.

Method and system for providing diabetes management is provided.

A plethysmographic respiration processor is responsive to respiratory effects appearing on a blood volume waveform and the corresponding detected intensity waveform measured with an optical sensor at a blood perfused peripheral tissue site so as to provide a measurement of respiration rate. A preprocessor identifies a windowed pleth corresponding to a physiologically acceptable series of plethysmograph waveform pulses. Multiple processors derive different parameters responsive to particular respiratory effects on the windowed pleth. Decision logic determines a respiration rate based upon at least a portion of these parameters.

Methods and systems for health and wellness management, including computer programs for implementing such methods and systems, are disclosed. An illustrative system for managing the health and wellness of plan members within a health plan can include a plan sponsor, a behavior modification program targeted to one or more plan members within the health plan, and a plan administrator adapted to monitor the progress of each plan member participating in the behavior modification program. A customizable computer exercise program can be provided as a part of the behavior modification program to promote weight loss, increase activity level, as well as other health related objectives. The computer exercise program can include a compliance module adapted to monitor the plan member's usage of the program, and a communications module for transferring data back and forth between the exercise program and administrator.

A system, method and apparatus for real time measurement and monitoring of various personal health parameters including controlled delivery of drugs/medications by intelligent pump appliances, intelligent inhalation appliances and intelligent skin patch appliances used in a standalone manner or in a wired or wireless networked configuration, in conjunction with various peripheral devices, other intelligent appliances, servers, RF ID Tags and stationary/mobile devices. The intelligent appliances relate to the measurement, monitoring and delivery of insulin/other drugs for the treatment of diabetes and other diseases. The method also additionally includes the application of intelligent appliances for pain management including visualization of organs and body locations exhibiting pain.

A total hemoglobin index system derives total hemoglobin (tHb) index value utilizing a depopulated emitter with an index set of LEDs. A patient fails a tHb index test if tHb measurements are trending down and/or tHb values fall below a predefined index threshold. If a patient fails the tHb index test, a high resolution sensor derives a specific tHb measurement utilizing a high resolution set of LEDs. The number of high resolution set LEDs is greater than the number of index set LEDs.

A method and system for anatomical object detection using marginal space deep neural networks is disclosed. The pose parameter space for an anatomical object is divided into a series of marginal search spaces with increasing dimensionality. A respective sparse deep neural network is trained for each of the marginal search spaces, resulting in a series of trained sparse deep neural networks. Each of the trained sparse deep neural networks is trained by injecting sparsity into a deep neural network by removing filter weights of the deep neural network.

A new cardiac risk factors are disclosed along with method for deriving the components of the factors, for developing the factors and for using the factors. Methods for computing pericardial fat and abdominal fat are also disclosed as well as methods for motion compensation.

A method and apparatus for controlling the safe delivery of thermosensitive liposomes containing medicant to a targeted tissue region using ultrasound. Thermosensitive liposomes containing medicants are delivered to a region of interest, the region of interest is located using ultrasound imaging, ultrasound therapy is applied to heat the region of interest, and the temperature of the region is monitored to determine whether a designated threshold temperature has been reached which allows for the release of medicants from the liposomes. If the threshold temperature is reached, and the liposomes are melted, the treatment stops. If the threshold temperature has not been reached, the application of ultrasound therapy and ultrasound imaging are alternated until the threshold temperature is reached. The ultrasound imaging, temperature monitoring and ultrasound therapy are preferably performed with a single transducer.

A system and method for providing closed loop infusion formulation delivery which accurately calculates a delivery amount based on a sensed biological state by adjusting an algorithm's programmable control parameters. The algorithm calculates a delivery amount having proportional, derivative, and basal rate components. The control parameters may be adjusted in real time to compensate for changes in a sensed biological state that may result from daily events. Safety limits on the delivery amount may be included in the algorithm. The algorithm may be executed by a computing element within a process controller for controlling closed loop infusion formulation delivery. The biological state is sensed by a sensing device which provides a signal to the controller. The controller calculates an infusion formulation delivery amount based on the signal and sends commands to an infusion formulation delivery device which delivers an amount of infusion formulation determined by the commands.

A system for continuously monitoring a user's motion and for continuously providing realtime visual physical performance information to the user while the user is moving to enable the user to detect physical performance constructs that expose the user to increased risk of injury or that reduce the user's physical performance. The system includes multiple passive controllers 100A-F for measuring the user's motion, a computing device 102 for communicating with wearable display glasses 120 and the passive controllers 100A-F to provide realtime physical performance feedback to the user. The computing device 102 also transmits physical performance constructs to the wearable display glasses 120 to enable the user to determine if his or her movement can cause injury or reduce physical performance.

Apparatus (10) is provided that includes at least one sensor (30), configured to sense a physiological parameter of a subject (12) and to sense large body movement of the subject (12), an output unit (24), and a control unit (14). The control unit (14) is configured to monitor a condition of the subject (12) by analyzing 5 the physiological parameter and the sensed large body movement, and to drive the output unit (24) to generate an alert upon detecting a deterioration of the monitored condition. Other embodiments are also described.

A computerized system for scheduling at least one daily activity of a user. One or more sensors are attached to the body of the user which monitor one or more physiological parameters of the body Physiological data is produced representative of the one or more physiological parameters during a time period. A processing unit attached to memory, is programmed for the scheduling of activities based on the physiological data and on previously stored values. The scheduled activities preferably include eating of a meal, exercise or rest of the user. Physiological parameters include skin temperature and/or heart rate. When the scheduled daily activity is eating of a meal, the processing unit is preferably programmed to recommend to the user to eat the meal during a portion of the time period when the skin temperature is rising or when the heart rate is falling.

A medical digital expert system to predict a patient's response to a variety of treatments (using pre-treatment information) is described. The system utilizes data fusion, advanced signal/information processing and machine learning/inference methodologies and technologies to integrate and explore diverse sets of attributes, parameters and information that are available to select the optimal treatment choice for an individual or for a subset of individuals suffering from any illness or disease including psychiatric, mental or neurological disorders and illnesses. The methodology and system can also be used to determine or confirm medical diagnosis, estimate the level, index, severity or critical medical parameters of the illness or condition, or provide a list of likely diagnoses for an individual suffering/experiencing any illness, disorder or condition.

A user-friendly reliable process is provided to help diagnose (assess) and treat (rehabilitate) impairment or deficiencies in a person (subject or patient) caused by a traumatic brain injury (TBI) or other neurocognitive disorders. The economical, safe, effective process can include: generating and electronically displaying a virtual reality environment (VRE) with moveable images; identifying and letting the TBI person perform a task in the VRE; electronically inputting and recording the performance data with an electronic interactive communications device; electronically evaluating the person's performance and assessing the person's impairment by electronically determining a deficiency in the person's cognitive function (e.g. memory, recall, recognition, attention, spatial awareness) and/or motor function (i.e. motor skills, e.g. balance) as a result of the TBI or other neurocognitive disorder.

An apparatus for indicating a health-related condition of a subject has an input interface for receiving a sequence of samples of a first biological quantity derived by a first measurement method, the first measurement method being an invasive measurement and having a first impact on the subject, and for receiving a sequence of samples of a second biological quantity derived by a second measurement method, the second measurement method being a non-invasive measurement and having a second impact on the subject, wherein the first biological quantity gives a more accurate indication of the health-related condition of the subject than the second biological quantity, wherein the first biological quantity and the second biological quantity have a correlation to the health-related condition of the subject, and wherein the second impact is smaller than the first impact; a predictor for providing, for a certain time, for which no sample for the first biological quantity exists, an estimated value of the first biological quantity using samples for the first biological quantity and, as far as available, samples for the second quantity; and an output interface for outputting the estimated value or data derived from the estimated value so that an indication for the health-related condition of the subject is obtained.

An ultrasonic system useful for providing imaging, therapy and temperature monitoring generally comprises an acoustic transducer assembly configured to enable the ultrasound system to perform the imaging, therapy and temperature monitoring functions. The acoustic transducer assembly comprises a single transducer that is operatively connected to an imaging subsystem, a therapy subsystem and a temperature monitoring subsystem. The ultrasound system may also include a display for imaging and temperature monitoring functions. An exemplary single transducer is configured such that when connected to the subsystems, the imaging subsystem can generate an image of a treatment region on the display, the therapy subsystem can generate high power acoustic energy to heat the treatment region, and the temperature monitoring subsystem can map and monitor the temperature of the treatment region and display the temperature on the display, all through the use of the single transducer. Additionally, the acoustic transducer assembly can be configured to provide three-dimensional imaging, temperature monitoring or therapeutic heating through the use of adaptive algorithms and/or rotational or translational movement. Moreover, a plurality of the exemplary single transducers can be provided to facilitate enhanced treatment capabilities.

A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.

A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

A sleep management method and system for improving the quality of sleep of a user which monitors one or more objective parameters relevant to sleep quality of the user when in bed and receives from the user in waking hours via a portable device such as a mobile phone feedback from objective test data on cognitive and/or psychomotor performance.

A method for capturing images of an individual to determine wellness for such individual, including establishing baseline physiological data for the individual, and baseline capture condition data for the individual; detecting and identifying the presence of the individual in the image capture environment; providing semantic data associated with the individual; capturing one or more images of the individual during a capture event and determining the capture conditions present during the capture event; using the event capture conditions, the baseline physiological data for the individual and the baseline capture condition data to determine the acceptability of event captured images; and using the acceptable images and the semantic data in determining the wellness of the individual.

One embodiment discloses a computerized method of facilitating cardiac intervention. The method may include inputting patient data and creating a computerized interactive model of a heart based on the patient data. The model may include features. The model may simulate at least one proposed cardiac intervention by adding or deleting features to the model, and determining the effects of the proposed cardiac simulation upon the entire model. Simulations may be repeated to allow the user to determine an optimal cardiac intervention. A template and/or patient specific instrument may be created from the model to use as a guide during the cardiac intervention.

A method, medium, and apparatus extracting avatar parameters using an avatar transformation algorithm from health state information measured from a user and generating an avatar using the extracted parameters. In the apparatus, a state analysis unit receives at least one among a bio-signal and questionary information of a user and outputs health state information, a parameter extraction unit extracts parameters defining an avatar image, and an avatar generation unit generates the avatar image using the parameters. By providing the method, medium, and apparatus, it is possible to provide a user with a convenience in recognizing his health state by generating an avatar image describing the user's future health state as well as the user's current health state. Further, it is possible to induce a user to manage his health constantly by maintaining a user's with the avatar image change.

Systems and methods of detecting an impending cardiac decompensation of a patient measure an electrocardiogram signal of the patient. An incidence of cardiac arrhythmias is determined from the electrocardiogram signal. A risk of impending decompensation is determined in response to the incidence of cardiac arrhythmias. In many embodiments, the impending decompensation can be detected early enough to avoid, or at least delay, the impending decompensation, such that patient trauma and/or expensive ICU care can be avoided. Although embodiments make specific reference to monitoring electrocardiogram and other physiological signals with an adherent patch, the system methods and devices are applicable to many applications in which physiological monitoring is used, for example wireless physiological monitoring with implanted sensors for extended periods.