41 results about "Activity daily" patented technology

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.

A medical device and method for combination lung ventilation and mucus clearance of a patient is disclosed. The medical device may be configured to provide lung ventilation with intermittent, on-demand mucus clearance, freeing the patient's mouth for activities of daily living such as when the patient is awake; and, in another configuration, the device can provide lung ventilation with automated mucus clearance, such as when the patient is sedated or asleep. The medical device may comprise a pressure generation source, a ventilation portion, and a mucus clearance portion. The mucus clearance portion may be separable from or separate from the ventilation portion such that the medical device is capable of maintaining lung ventilation with the mouth interface removed from the patient.

A method and system provide an annuity contract with a payment base value, a contract value, lifetime benefit payments, and a death benefit, as well as the option of enhanced lifetime benefit payments for a period of time. An insured qualifies for these enhanced lifetime benefit payments when the insured is confined to a nursing home and fails two of six predetermined activities of daily living. The insured retains the option of returning to a lower level of lifetime benefit payments when the enhanced lifetime benefit payments are no longer necessary. The death benefit is reduced by the enhanced lifetime benefit payment withdrawals but the lifetime benefit payment continues to be paid, even if the contract value declines to zero.

A method and apparatus for upper limb rehabilitation training of coordinated arm / forearm, forearm / forearm and grasping movements of a motor impaired patient comprises a nonrobotic, passive support, an arm / forearm sensor, a gripping device, a grip sensor capable of measuring an impaired grasping force of a grasping of the patient, a computer to process measurements of coordinated and simultaneous impaired arm / forearm, forearm / forearm and grasping movements to control a graphical representation of the arm / forearm and grasping movements in interaction with a virtual environment, and to provide a visual feedback signal to the patient of simulated normal activities of daily living performed with enhanced motor ability relative to the actual impaired motor ability. A visual feedback signal of the simulated activities of daily living is provided to motivate the patient to perform the upper limb rehabilitation movement training despite limited motor ability.

A method and related system to, among other things, automatically infer answers to all of the ADL questions and the first four questions of the IADL in the home. The inference methods detect the relevant activities unobtrusively, continuously, accurately, objectively, quantifiably and without relying on the patient's own memory (which may be fading due to aging or an existing health condition, such as Traumatic Brain Injury (TBI)) or on a caregiver's subjective report. The methods rely on the judicious placement of a number of sensors in the subject's place of residence, including motion detection sensors in every room, the decomposition of each relevant activity into the sub-tasks involved, identification of additional sensors required to detect the relevant sub-tasks and spatial-temporal conditions between the signals of sensors to formulate the rules that will detect the occurrence of the specific activities of interest.

The invention provides a method for supporting operational activities in daily living by providing a combination of (a) long-chain polyunsaturated fatty acids, particularly DHA and / or EPA, and (b) nucleosides or nucleotides, particularly uridine or its equivalent. The operational activities comprise eating; walking; toileting; bathing; grooming; dressing; u se of communication equipment; making conversations; keeping appointments; use of household appliances; cleaning dishes; preparation of meal or drink; writing; reading; independent housekeeping; transportation and shopping.

There are provided a hand-held device for detecting activities of daily living, and a system for detecting activities of daily living using the same. The hand-held device comprises a behavior information detector unit detecting physical activity information from user's movements; an article use information detector unit detecting article use information on whether the user uses the article from a sensor module attached to the article; a controller unit generating information on activities of daily living of the user from the physical activity information and the article use information; and a memory unit storing the information on the activities of daily living of the user.

A Modular Upper Extremity Support System (MUESS) improves hand function by optimizing the balance of flexion and extension at the wrist and stabilizing thumb abduction. This is accomplished through a basic support unit of a forearm cuff, a wrist extensor strap, and a web spacer strap. Various components and inserts can be attached to the basic support unit. The MUESS has several interchangeable components, inserts, and attachments, which allow the hand therapist and other caregivers to make adjustments to the orthotic in real time to support various hand functions that are critical to activities of daily living such as grasping.

This invention relates generally to a method and an apparatus for remote health monitoring of activity of daily living of patients with Type-2 Diabetes. In particular, it relates to a method of capturing vital signs data (Blood-Glucose values, weight) from medical devices, a variety of ambient sensors (on / off sensors, motion sensors, pressure-pad sensors), a body-wearable sensor (arm-band with accelerometer, stress and sleep measurements), and food / diet information uploaded via a web-based interface, then storing all the data in real-time on a secured server, and then processing it to generate short text-messages delivered via cell-phones, iPads or other ambient displays. These messages are designed to be persuasive in nature to alter human behavior. The system can also generate from the data health newsletter that is customized for the patient to educate, inform and empower the patient.

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.

A piezoresistive sensor featuring a fabric of woven or nonwoven fibers coated with carbon nanotubes can be integrated with footwear or clothing to serve as a pressure sensor that can monitor and / or analyze human activity during the course of the activities of daily living of the wearer.

The present invention provides an orthotic appliance for the carpus of a human hand for the treatment of carpal tunnel syndrome using co-dynamic, rather than traditional static or dynamic, techniques. The appliance may apply a 2 pound dorsally directed force about the region of the pisiform bone in the neutral carpal position of a human hand upon co-contraction of the hand and up to 8 pounds dorsally directed during arc of motion in carpal flexion, as the wrist and hand is encouraged to actively move in all planes of motion without negatively affecting the normal activities of daily living. The appliance may comprise a biasing structure for applying the dorsally directed force and a base structure for maintaining the biasing structure in its proper configuration during normal hand motion.

The invention relates to a hand exoskeleton device having a modular nature. The device is designed to be wearable, portable and light in weight, and comprises from one to ten modules each having an actuating mechanism such as a linear actuator coupled with an artificial tendon having a flexible cable or shaft encased into a sheath and an elastic, stretchable portion on its distal end. The exoskeleton allows controlling flexion-extension of the fingers, while keeping natural somatosensorial interactions with the environment surrounding the users. The device is useful to e.g. assist and restore hand functions of users with motor disabilities both during activities of daily living and in neurorehabilitative scenarios, as well in other scenarios such as virtual reality.

The present invention provides a fall sensing system. After motion sensing is performed through a sensing unit, an obtained sensing signal is stored in a storage unit. Then a correcting unit performscorrection on the sensing signal in a physiological signal normalization method and the motion signal normalization method. A motion recognition unit generates motion differentiating data according tothe corrected sensing signal for differentiating different motions. Finally an identification unit determines whether the motion of a user exceeds a falling determining threshold, thereby determininga falling motion. When the motion exceeds the falling determining threshold and the falling motion is determined, the identification unit immediately outputs a signal to a protecting assembly and analarming assembly or one in the protecting assembly and the alarming assembly, thereby immediately performing functions of alarming and protecting when the falling motion of the user occurs.

An electronic record system and method to operate a state licensed facility. The records system of the present invention meets the daily needs of the administrator and staff caring for the resident in a residential care setting. Services provided by staff include activities of daily living and medication administration for residents. As staff document a care note the records system transfers this data to a central timeline for that resident. This timeline shows a user all medications given as well as ADL's, IADL's and care notes. The present invention will streamline all required documents for the Facility, Staff and Resident. This invention digitalizes the process of operating a State licensed Residential Care Facility for the Elderly (RCFE) and Adult Residential Facility (ARF). This invention helps the facility owner maintain compliance allowing more efficiently in are for the residents. This invention and method allow for Regulatory and licensing agency to access and verify document compliance for each facility. This method and process allows for facility owners and operators to access required documents in the event originals are missing or damaged during disaster or for immediate need to review.

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 system for determining a psychiatric status of a person is described, the system including an activity module that outputs first data indicative of the person's activities of daily living, a social module that outputs second data indicative of the person's social functioning in a work-like setting, a persistence module that outputs third data indicative of the person's concentration persistence, a stress module that outputs fourth data indicative of the person's ability to tolerate stress, and a processing module that outputs fifth data indicative of a psychiatric disability determination based on outputs from said activity module, said social module, said persistence module, and said stress module. In certain embodiments, at least one of the activity module, the social module, the persistence module, and the stress module comprises computer executable instructions. The system may also feature a user interface configured to display the psychiatric disability determination.

The invention discloses a method for predicting a crowd aggregation trend based on an ARMA algorithm. In order to search for a more effective implementation scheme for crowd aggregation trend prediction, the method comprises the following steps: obtaining current day activity information of a to-be-predicted day of a preset place and daily aggregated person values and daily activity information within p days before the to-be-predicted day; obtaining a predicted aggregated person value of the to-be-predicted day based on the current day activity information, the daily aggregated person value within p days and the daily activity information; obtaining a daily aggregated person value in r days before the to-be-predicted day, determining whether the predicted aggregated person value is abnormal or not based on the daily aggregated person value in r days and the predicted aggregated person value, and if yes, displaying that the predicted aggregated person value is abnormal. According to themethod, the long-time multi-dimensional attention crowd place aggregation data is adopted, the ARMA algorithm is used for extracting the potential correlation between the event which cannot be judgedmanually and the time, and the defect of experience judgment on the attention crowd aggregation degree in traditional work is overcome.

The invention belongs to the field of digital treatment, and specifically relates to a data processing method for assisting in disease diagnosis based on daily necessities and a diagnostic device. Thus, early screening and auxiliary diagnosis can be performed on nervous system diseases such as motor dysfunction by utilizing auxiliary sensors added on daily necessities. The purpose of the inventionis to, for the nervous system diseases such as the motor dysfunction, utilize the daily necessities used for daily meals to effectively and quantitatively evaluate hand movement functions by adding the auxiliary sensors to implicitly collect and analyze user behavior data. User data signals are collected by a motion sensor; the relevant characteristics of diseases are extracted, and a user data model is established by combining machine learning algorithms; and therefore, the performance of the hand movement functions of users in activities of daily living can be scored, and foundations can beestablished for the early screening and auxiliary diagnosis of the diseases.

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 densitymap 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 periodas 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 approachmakes the system robust to changes in the order in which activities are carried out by a subject.

A method of predicting daily living activities performance of a person with disabilities includes establishing a rehabilitation assessments panel based on a plurality of rehabilitation evaluation scales and laboratory data; evaluating a plurality of persons with disabilities by the rehabilitation assessments panel; entering assessment results and the corresponding activities of daily living (ADL) performance into a machine learning platform; utilizing variable selection methods to select a plurality of variables having optimal classification performance from the rehabilitation assessments panel; executing a machine learning algorithm to create an ADL prediction model based on the selected variables; evaluating a participant in terms of the rehabilitation assessments panel; and entering assessment results into the ADL prediction model for calculation, thereby obtaining a prediction result of future ADL performance for the participant.

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.

The present invention provides an orthotic appliance for the carpus of a human hand for the treatment of a carpal tunnel syndrome condition using co-dynamic, rather than traditional static or dynamic, techniques. The appliance may apply a dorsally-directed force to the region of the pisiform bone (23) in the neutral carpal position of a human hand upon co-contraction of the hand and up to 8 pounds dorsally-directed during arc of motion in carpal flexion, as the wrist and hand is encouraged to actively move in all planes of motion without restricting arc of motion or negatively affecting the normal activities of daily living. The appliance may comprise a biasing structure for applying the dorsally-directed force and a base structure for maintaining the biasing structure in its proper configuration during normal hand motion.

Presented is a system and method for monitoring activities of daily living, ADLs, of a person within an environment containing an object that is controllable by the person via a control system. The system comprises a data collection unit adapted to obtain control data from the control system, the control data being based on one or more control signals generated by the control system for controlling the object. A data analysis unit is 5 adapted to determine an ADL event of the person based on the obtained control data.

The invention provides a class of dopamine transporter inhibitors of formula (I) (DAT inhibitors), packaged pharmaceuticals comprising such inhibitors, and their uses in treating, or manufacturing medicaments for treating disease conditions including Parkinson's disease, when assessed by one or more of Hoehn and Yahr Staging of Parkinson's Disease, Unified Parkinson Disease Rating Scale (UPDRS), and Schwab and England Activities of Daily Living Scale. Related business methods such as marketing the inhibitors to healthcare providers are also provided.

An occupational therapy support device according to the present disclosure includes an input data reception unit, an estimation unit, and an estimated data output unit. The input data reception unit receives the input of input data including sleep data of the subject of occupational therapy evaluation and the basic data of the subject. The estimation unit inputs the received input data to a trained artificial intelligence to cause the artificial intelligence to estimate the activity of daily living data of the subject and the physical function data of the subject. The estimated data output unit outputs the data estimated by the artificial intelligence. The sleep data includes the number of turns, the number of body movements, the number of times of going to the bathroom, and the time in the bathroom. The basic data includes the age, height, weight, and medical history. The activity of daily living data includes eating, going to the bathroom, defecation, transfer to the bathroom, locomotion / walk, comprehension, problem solving, and memory. The physical function data includes the grip strength. This configuration enables a user to obtain objective data that does not depend on the evaluator and is useful for performing occupational therapy.