70 results about "Activities of daily living" patented technology

Systems and methods for aiding individuals to complete tasks of daily living are provided. The situationally aware system comprises a controller, sensors, and effectors. The controller may include a program that describes a sequence of steps the user should perform to accomplish the task. In response to the information from the sensors and the user's compliance with the steps of the sequence, the controller instructs the effector(s) to relay at least one instructional cue to the user to aid in the performance of the task. The instructional cue may range from a simple blinking light, to detailed audio and/or visual instructions, to relaying a reward for the completion of the task. The instructional cue may also instruct the user to refrain from performing a task. The system is programmable, configurable, and may interface to the Internet.

The present invention thus provides a simple and automatic method for determining an optimal AV interval and/or range of AV intervals for, in an exemplary embodiment, LV-only pacing. Such a method provides significant advantages for patients while reducing burdens related to post-implant follow-up by clinicians in that it greatly reduces the need for doing echocardiographic-based AV interval optimization procedures as well as providing a way to dynamically optimize AV intervals as the patient moves about their activities of daily living (ADL).

A monitoring system for purposes of enhancing independent living incorporates a wearable communication device, such as a cellular telephone, in combination with a recharging base which might be coupled to a wire line telephone system. Either or both of the base station and wearable device can be in communication with sensors scattered through an individual's residence for purposes of collecting data pertaining to activities of daily living. Either or both of the wearable unit and base station could incorporate sensors responsive to physiological parameters of the resident. Both units can independently communicate with third party monitors to communicate data about, or direct immediate attention to the state of an individual using the system.

Techniques for a visual disability detection system that employs virtual reality to assess visual performance of a patient based on activities of daily living are described. The virtual reality platform can integrate the testing of different components of visual function based on activities of daily living to provide a direct and clinically relevant measure of the impact of any visual disability on a patient's daily life. By simulating daily tasks for evaluation of visual disability, clinicians can better understand from a patient's perspective how visual impairment affects their daily tasks and quality of life.

An embodiment in accordance with the present invention includes a smartphone based platform that can be used to objectively and remotely measure aspects related to PD (e.g., voice, balance, dexterity, gait, and reaction time), activities of daily living, and PD medicine response. The present invention includes a unified PD-specific remote monitoring platform that incorporates both active and passive tests to provide high frequency monitoring of symptoms and activities of daily living related to PD and medicine response. The platform of the present invention does not require specialized medical hardware.

This invention relates to monitoring activities of daily living (ADLs) of a person and more particularly to displaying, in a GUI, a graphical element that is representative of an ADL detected by an ADL monitoring system. The shape, size, position, orientation, pulsating or colour of at least a portion of the graphical element is based on one or more attributes of the detected ADL.

A portable alarm transmitter for compliance monitoring detects whether a user is wearing the device. If not, a special alarm signal is sent to the monitoring service provider so that remedial actions can be taken. The alarm transmitter comprises a motion sensor, and an algorithm thereby for detecting whether the alarm device is being worn by the user. The alarm transmitter distinguish between non-compliance (e.g. user has taken off the alarm device) versus other “activities of daily living (ADL) that may appear to be non-compliance events (e.g. sleeping) by incorporating user stimulus and user response.

The present invention provides and apparatus for distinguishing falls from activities of daily living (ADLs). First, the human movements and muscle activities would be obtained by an electromyography measuring unit and/or an inertia measuring unit to record ADLs, and falls would be distinguished from ADLs to trigger the protecting devices in time to prevent or decrease injury. In addition, the apparatus would be preset for different operational conditions to adapt different users by a setting unit to increase accuracy. Finally, the moving distance and the direction of the user would be obtained by the electromyography measuring unit and/or the inertia measuring unit to obtain the location thereof in an interior space.

A system and method implements video capture technology, in combination with computer program engines and proprietary algorithms to capture, analyze and objectively score human movement, and to identify, differentially diagnose and assess the root causes of observed pathokinematic (pathological movement) patterns. The system calculates demographic risk of injury and compares with identified movement issues to determine potential performance issues and associated relative risks for the subject. Specific, individualized corrective measures or interventions are selected and targeted to the individual and his or her movement patterns, to improve those pathokinematics. The result is decreased likelihood of certain types of lower extremity injuries, faster and more effective rehabilitation, the reduction of movement related pain, and significant improvement on specific performance based metrics used in activities and professions requiring athleticism, and quality measurement of the quality of normal “activities of daily living.”

An ADL monitoring system uses a set of sensors each adapted to respond to an activity and to generate a sensor output signal representative of the detected activity level or type. An activity density map is formed. The activity level or type is compared with a range of activity levels or types represented in a map which characterized a reference spread of activity levels over the same time period as the activity density map. A probability analysis is then used to identify initial anomaly points. For these the initial anomaly points, a test of activity permutations is carried out to find timeslots in the activity density map which may be reordered to remove the initial anomaly points. In this way, anomalies at the level of individual timeslots can be identified, and the permutation approach makes the system robust to changes in the order in which activities are carried out by a subject.

Provided is an apparatus for recognizing an activity of daily living (ADL). The apparatus includes a radio frequency identification (RFID) reader for reading the information of an RFID tag to recognize a motion object, a motion detector attached on a moving subject for acquiring acceleration information and recognizing a motion characteristic, and a controller for receiving information on the motion object from the RFID reader and information on the motion characteristic from the motion detector and then recognizing an ADL.

A method and apparatus are disclosed that automatically interject brain activations into video imaging activities or other activities of daily living. During a video game, for example, an interrupt causes a pause in the game and a commencement of an activity involving but not limited to bilateral portions of the body, the peripheral vision of the game-player, and a visual pursuit-type and saccadic-type action on the video screen. Alternatively, the brain activation can be merged into the content of the video game so as to be generally indistinguishable to the user. Automatic feedback from the system encourages more frequent brain activations when performance is determined to be diminished and less frequent brain activations when performance is determined to be enhanced. The combination of events in the activity is believed to engage the frontal lobes of the brain as well as other brain structures and stimulate brain health.

The system according to the invention comprises a plurality of sensors (10), (20) arranged to measure an ambient condition of a person. A movement of the person is being detected by the movement sensor (20) included in the system. The system further comprises interpretation means (110) arranged for interpreting a plurality of first output signals (100) and a second output signal (200). The plurality of first output signals (100) is provided by the ambient sensors (10) and the second output signal (200) is provided by the movement sensor (20). The interpretation means (110) are further arranged to determine an activity of daily living of said person. The interpretation means may provide an alarm signal (120) indicating that the person may need direct assistance and a warning signal (130) indicating a potential deteriorating health condition of the person.

This invention features magnetic, laundry tolerant, no-sew button adapters that convert traditional shirt buttons into magnetic closures to help people with dexterity limitations. The adapters simply attach to any shirt to help make getting dressed easier and a restore a crucial activity of daily living. Users can simply push the lapels of a shirt together to engage magnetic force, activating the buttons to snap into place. The shirt can be opened easily by pulling the lapels apart to undress.

The invention discloses a fall detection method and device based on multi-sensor data fusion; the fall detection method employs a pattern recognition method and divides human body behaviors into a fall pattern and an ADL (activities of daily living) pattern, feature vectors acting as human body fall criteria are screened out by means of machine learning method based on support vector machine, and human body fall is detected jointly according to the feature vectors and human body movement state data. The fall detection device comprises a pressure sensor, an acceleration sensor, a wireless transmitting module, a wireless receiving module, a microprocessor, a call-for-help module and the like. According to the fall detection method, pressure data and acceleration data of a fall process are monitored and processed in real time to recognize human body fall correctly, and positional information is sent to family members or nursing staff in order to gain timely rescue and treatment. The feature vectors are extracted based on multi-sensor data, and the ability to recognize a fall is improved effectively.

Presented are concepts for monitoring activities of daily living, ADLs, of a person within an environment. Once such concept provides a graphical interface for an ADL monitoring system, wherein the graphical interface is adapted to display a graphical element representative of an ADL detected by the ADL monitoring system, and wherein the shape, size, position, orientation, pulsating and/or colour of at least a portion of the graphical element is based on one or more attributes of the detected ADL.