904 results about "Activity level" patented technology

A wearable device assembly has a housing supporting a controller, display and indicator system thereon. The controller has at least one sensor wherein activity of a user wearing the device is detected. The controller selectively illuminates the indicator system to indicate a level of activity of the user.

A computer-based customer tracking system uses a passive biometric identification for identifying customers. Neither the customer, nor any establishment personnel, are required to enter any informational data with respect to the customer; identification is done completely biometrically. Biometric identification information is sent to a central computer processor, which searches files in a library for matching biometric data. If no match is found, the processor opens a new file in the library, assigning a code or identification number to the file. Information with respect to the customer's biometric data, along with any transactional information, are stored in the file. If prior activity information stored in the file exceeds a predetermined level, information with respect to the customer's prior activity is retrieved from the file and sent to a terminal, preferably at the location of the transaction. Any new information from the transaction is then sent to the processor and stored for future access. The processor scans the files periodically, and deletes files for which the activity level in the file is below a certain predetermined level over a preselected time period. Deletion of inactive files precludes the processor memory from being overloaded with information which is not useful to the establishment, and also reduces the amount of time necessary for the processor to search library files for biometric matches.

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.

Described is a system and method for receiving personal profile data from a plurality of participants, wherein each participant is a member of a virtual community. Generating a participant profile for each of the participants as a function of the personal profile data corresponding to each participant, rating each participant as a function of an activity level within the virtual community and providing additional features to participants achieving a pre-determined rating.

User activity including both athletic activity (e.g., running, walking, etc.) and non-athletic activity (shopping, reading articles, etc.) may be monitored and tracked by an athletic monitoring and tracking device and service. The user activity may be used to award a user with an amount of virtual currency to encourage the user to continue various activities. In one example, users may use the virtual currency to purchase or otherwise acquire various products, services, discounts and the like. A user may track an amount currency earned and/or needed relative to an amount required to acquire a desired product or service. Additionally or alternatively, a visual appearance of a user device (e.g., a watch or athletic activity band) may change based on the user's activity level, an amount of virtual currency earned and the like.

A system and method for selecting, ordering and distributing customized food products is disclosed. In one embodiment, the method is a computer-implemented method comprising viewing a list of additives for creating a customized food product, selecting one or more additives from the list of additives to create the customized food product, and transmitting a request to purchase the customized food product, which is then distributed to the consumer. By communicating with the manufacturer as to personal needs and desires pertaining to health, activity level, organoleptic preferences and so forth, the consumer can now develop and order a customized food product to suit his or her particular tastes, using a real-time interactive communication link.

A wearable device assembly has a housing supporting a controller, display and indicator system thereon. The controller has at least one sensor wherein activity of a user wearing the device is detected. The controller selectively illuminates the indicator system to indicate a level of activity of the user.

An implantable stimulator and monitor measures a group of heart failure parameters indicative of the state of heart failure employing EGM signals, measures of blood pressure including absolute pressure P, developed pressure (DP=systolic P-diastolic P), and/or dP/dt, and measures of heart chamber volume (V) over one or more cardiac cycles. These parameters include: (1) relaxation or contraction time constant tau (.tau.); (2) mechanical restitution (MR), i.e., the mechanical response of a heart chamber to premature stimuli applied to the heart chamber; (3) recirculation fraction (RF), i.e., the rate of decay of PESP effects over a series of heart cycles; and (4) end systolic elastance (E.sub.ES), i.e., the ratios of end systolic blood pressure P to volume V. These heart failure parameters are determined periodically regardless of patient posture and activity level. The physician can determine whether a particular therapy is appropriate, prescribe the therapy for a period of time while again accumulating the stored patient data for a later review and assessment to determine whether the applied therapy is beneficial or not, thereby enabling periodic changes in therapy, if appropriate. Drug therapies and electrical stimulation therapies, including PESP stimulation, and pacing therapies including single chamber, dual chamber and multi-chamber (bi-atrial and/or bi-ventricular) pacing can be delivered. In patient's prone to malignant tachyarrhythmias, the assessment of heart failure state can be taken into account in setting parameters of detection or classification of tachyarrhythmias and the therapies that are delivered.

A device, such as an implantable medical device (IMD) or a programming device, determines when a patient is attempting to sleep. When the device determines that the patient is attempting to sleep, the device determines values for one or more metrics that indicate the quality of a patient's sleep based on at least one physiological parameter of the patient. When the device determines that the patient is not attempting to sleep, the device periodically determines activity levels of the patient. Activity metric values may be determined based on the determined activity levels. A clinician may use sleep quality information and patient activity information presented by a programming device to, for example, evaluate the effectiveness of therapy delivered to the patient by the medical device.

The invention provides a system and method for measuring vital signs (e.g. SYS, DIA, SpO2, heart rate, and respiratory rate) and motion (e.g. activity level, posture, degree of motion, and arm height) from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

A device, such as an implantable medical device (IMD), programming device, or other computing device determines when a patient is attempting to sleep. When the device determines that the patient is attempting to sleep, the device determines values for one or more metrics that indicate the quality of a patient's sleep based on at least one physiological parameter of the patient. When the device determines that the patient is not attempting to sleep, the device periodically determines activity levels of the patient. Activity metric values may be determined based on the determined activity levels. A clinician may use sleep quality information and patient activity information presented by a programming device to, for example, evaluate the effectiveness of therapy delivered to the patient by a medical device.

Apparatus for relating pain and activity experienced by a patient comprises: pain transducing means for allowing a patient to select any one pain level from a predetermined number of pain levels and for producing a pain level signal indicative of the selected level; activity transducing means responsive to the pain level signal for measuring a level of a parameter of a physical activity of the patient near the time corresponding to the selection of the pain level and for producing an activity parameter level signal indicative of the measured level of the parameter; and relating means responsive to the pain level signal and the activity parameter level signal for characterizing the activity of the patient corresponding to the selected level of pain to be one activity level of a predetermined number of predefined activity levels and for producing a signal indicative of the characterized level of activity and the corresponding pain level.

A real-time manager for a personal computer manages the operation of real-time tasks while the personal computer also performs other tasks. The real-time manager includes at least one real-time kernel and a task service manager. The real-time kernel activates and controls the real-time tasks. The task service manager allocates time between the real-time tasks and the other tasks, selects the service levels of the real-time tasks in response to the activity levels of the other tasks, and invokes the real-time kernel to activate and control the real-time tasks at the selected service levels.

The invention provides a system and method for measuring vital signs (e.g. SYS, DIA, SpO2, heart rate, and respiratory rate) and motion (e.g. activity level, posture, degree of motion, and arm height) from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

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.

A device for and a method of dynamically refreshing presentation of icons for objects processed on an electronic device are provided. The method comprises: establishing a triggering event to initiate refreshment of a layout of the icons displayed on a display in the device; upon detection of the triggering event, creating a ranking of the objects processed by the device utilizing activity logs providing their recent levels of activity; identifying a most frequently processed object from the ranking; and automatically refreshing the layout of icons to highlight an icon associated with the most frequently processed object. The device incorporates modules to perform the method.

There is provided herein a sensor/monitor combination designed to reduce the risk of pressure ulcer occurrence in immobile patients, wherein the level of patient activity is tracked to determine whether or not that patient has exhibited sufficient activity to merit eliminating a scheduled assisted relocation to a new position. The instant device senses the time since a patient last relocated into a different sitting or lying position. If the patient has not moved during some predetermined time period, the nursing staff will be notified by the invention that it is time to manually reposition the patient. If the patient has significantly changed position during the predetermined time period and, thus, allowed previously compressed tissues to reoxygenate, the invention will not signal that a move is necessary, thereby eliminating the need in some cases to rouse the patient from an otherwise healing sleep.

Systems and methods for monitoring equilibrium of a user are presented. A stability monitoring device in a shoe insole area utilizes pressure sensors to measure pressure information in real-time. The pressure information is transmitted over an RF network to a device for analyzing the pressure information and calculating postural state information including the current postural state, next postural state, and/or a range of postural stability. The person or a third party may be notified if the postural state information indicates an unstable state. Additionally, the postural state information may be analyzed to determine activity level of the user, diagnostic information, or performance information. Metrics may be displayed by the system for assisting physical therapy or training regimens.

A sensing system (11) includes a first radar sensing assembly (10; 3104, 3106; 4100, 4200) and an analysis system (18). The first radar sensing assembly (10; 3104, 3106; 4100, 4200) measures plural distances (12; 22, 30; 42, 50, 60, 70, 80; 4102, 4202) to a first target location (16) at different times using radar. The analysis system (18) receives the plural distances (12; 22, 30; 42, 50, 60, 70, 80; 4102, 4202) from the first radar sensing assembly (10; 3104, 3106; 4100, 4200) and quantifies movements of a target object (14) at the first target location (16) at the different times by calculating differences in the plural distances (10; 3104, 3106; 4100, 4200) measured by the first radar sensing assembly (10; 3104, 3106; 4100, 4200). The analysis system (18) generates one or more first quantified activity level values indicative of the movements of the target object (14) at the first target location (16) using the differences in the plural distances (12; 22, 30; 42, 50, 60, 70, 80; 4102, 4202) that are calculated.

A respiratory support ventilator apparatus is described that mechanically supports the work of respiration of a patient. The ventilator apparatus is highly portable and optionally wearable so as to promote mobility and physical activity of the patient, and to improve the overall health of the patient. The respiratory support ventilator may monitor a physical activity level and overall health status of the patient, and process this information. The information is used to track efficacy of the ventilation therapy relative to activity level and quality of life, and or to titrate or optimize the ventilation parameters to improve, maintain or optimize the physical activity level and overall health status of the patient.

A method and system for computing a performance forecast for an e-business system or other computer architecture to proactively manage the system to prevent system failure or slow response time. The system is adapted to obtain measured input values from a plurality of internal data sources and external data sources to predict a system's performance especially under unpredictable and dramatically changing traffic levels in an effort to proactively manage the system to avert system malfunction or slowdown. The performance forecasting system can include both intrinsic and extrinsic variables as predictive inputs. Intrinsic variables include measurements of the systems own performance, such as component activity levels and system response time. Extrinsic variables include other factors, such as the time and date, whether an advertising campaign is underway, and other demographic factors that may effect or coincide with increased network traffic.

The invention provides a system and method for measuring vital signs (e.g. SYS, DIA, SpO2, heart rate, and respiratory rate) and motion (e.g. activity level, posture, degree of motion, and arm height) from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.