22 results about "Activity daily" patented technology

A computer-implemented method for treating a patient suffering from Type I Diabetes (T1D). The method can include quantifying physical activity (PA) of the patient; calculating an accumulated PA periodically based on the quantified PA, the accumulated PA indicating an aggregate of the PA; and generating an activity informed insulin bolus by adjusting a prevalent functional insulin therapy bolus with a previous activity component, wherein the previous activity component is based on the accumulated daily PA, an activity profile, and an activity factor of the patient. The method can include determining an additional glucose uptake within a time period, the additional glucose uptake being caused by a PA; translating the additional glucose uptake into a number of insulin units with a same BG lowering impact; and generating an activity informed insulin bolus by adjusting a prevalent functional insulin therapy bolus with the insulin units.

Disclosed herein is a system and method for performing pre-operative planning of total joint arthroplasty. The planning tool builds a model and analyzes and visualizes movement of the joint for various selections of implant models and placement of the components on the implants on the patient's anatomy. The tool also analyzes and visualizes motions of the joint during common activities of daily living and analyzes and functional ranges. The tool provides real time clinically relevant parameters to inform pre-surgery planning. The tool provides screw orientation visualization.

The invention discloses a concomitant epilepsy depression onset risk prediction system and device, and the method comprises the steps: constructing an array graph model based on multivariable factors, such as marriage conditions, onset age, epileptic seizure frequency, drug treatment types, SEEG epilepsy origin regions, daily life activity ability assessment scale ADL scores, and the like; through the array graph model, the onset risk of concomitant depression of epilepsy patients can be accurately predicted, so that the diagnosis rate of concomitant depression of epilepsy is improved, and a high-risk patient group of depression can be clinically recognized earlier, so that intervention is performed in time, serious consequences caused by depression onset are avoided in time, and the risk of concomitant depression of epilepsy patients is reduced. And a theoretical basis can be provided for clinically and actively intervening the depressive mood of the epilepsy patient.

In an example system, multi-sensor motion data that reflects the motion of a user over a period of time is received as recorded by a plurality of motion sensors on wearable devices, specific changes are determined in the data by, firstly, quantifying it using a two-dimensional data transform; secondly, extracting an anomalous area; and thirdly, calculating a number of the anomaly's properties, and the results are input into a machine learning model to detect that the user fell. The machine learning model processes the anomaly's properties and evaluates the current state of the user's activity by classifying the properties against a state space previously calculated by analyzing historical activities of daily living. Depending on a two-dimensional transform implemented, the machine learning model detects when the user falls, as well as potentially allows predicting that the user will suffer a fall in advance of the actual event, aiming at solving the stroke prediction problem.

Disease modification of specific neurodevelopmental disorders is demonstrated for preschool children through modulation of specific biogenic amine neurotransmitters and y-aminobutyric acid (GABA) / glutamine. In specific, cumulative reductions in maladaptive behaviors that interfere with activities of daily living for preschool populations are achieved through staged, long term, treatment. Additionally, a prophylaxis for certain neurodegenerative disorders is presented. Provided herein are compositions comprising digestive enzyme preparations and methods of using same for treating an Autism Spectrum Disorder (ASD).

Disclosed herein is a system and method for performing pre-operative planning of total joint arthroplasty. The planning tool builds a model and analyzes and visualizes movement of the joint for various selections of implant models and placement of the components on the implants on the patient's anatomy. The tool also analyzes and visualizes motions of the joint during common activities of daily living and analyzes and visualizes changes in muscles.

An object of the present invention is to provide a novel technique capable of predicting an activity amount in consideration of various physical activities in a day.SOLUTION: In order to solve the above problem, the present invention provides a prediction system for predicting an activity amount for one day, the prediction system including a step count management unit and an activity amount prediction unit, wherein the step count management unit acquires a step count of a user, and the activity amount prediction unit calculates a predicted activity amount for one day based on the step count and a prediction means.SELECTED DRAWING: Figure 1

A processing system includes a processor. The processor is configured to: acquire user data including information on an activity of daily living a user is able to perform; calculate a recommended setting of training equipment that places a load on a muscle of the user, based on the user data; and output the recommended setting.

1. Name of the design product: Active-participation graphical user interface for electronic equipment. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the interface content of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the Graphical User Interface: The graphical user interface of this design is used for participation in activities. The main view is the home page of the graphical user interface, which displays the activity time and content. When the user clicks the "Participation Path" button at the bottom of the interface, the interface changes as shown in Figure 1. In the changing state diagram 1, users can view the daily activity content. When sliding up the interface, the changing state diagram 2 will be displayed for viewing more activity content. 6. Other situations that require explanation: “××” in the interface represents variable text.

Embodiments of the present application disclose a care list generation method and related device, which are used for efficiently generating a care list. The method comprises: displaying a care list ungenerated state of multiple patients; obtaining unstructured information of a target patient in the multiple patients according to a list generation instruction input by a user for the target patient, wherein the unstructured information comprises target medical order information, target nursing level information, target medical record information, target basic activities of daily living (BADL) assessment information and target risk assessment information; obtaining corresponding target generation information according to the unstructured information, wherein the target generation information comprises multiple groups of target BADL task information groups, multiple groups of target risk task information groups, multiple groups of target medical order task information groups, multiple groups of target operation task information groups and a target patrol task information group, and each task information group comprises a task type, a task name, a task point, a task frequency and a task time; and displaying the care list for the target patient, which comprises the target generation information.

The invention provides a method for supporting operable activities in daily life by providing a combination of (a) long chain polyunsaturated fatty acids - in particular DHA and / or EPA - with (b) a nucleoside or nucleotide - in particular uridine or an equivalent thereof. The operable activities include eating; walking; toileting; bathing; grooming; dressing; using a communication device; having a conversation; going to an appointment; using a household appliance; washing dishes; cooking or preparing a beverage; writing; reading; doing household chores independently; carrying or shopping.

The system according to this embodiment aims to enhance children's self-esteem while fostering their awareness of the SDGs goals. [Solution] The system according to the embodiment comprises a reception unit, a conversion unit, a savings unit, a detection unit, and a suggestion unit. The reception unit inputs daily activities. The conversion unit automatically converts the content input by the reception unit into SDGs goals. The savings unit stores the content converted by the conversion unit in a self-esteem savings account. The detection unit stores daily entries and detects changes in the child. The suggestion unit proposes follow-up actions in response to the changes detected by the detection unit.

To provide a wandering alert device that notifies only protected persons who may wander. [Solution] The wandering alert device disclosed herein includes an input data receiving unit, an estimation unit, a wandering possibility determination unit, a sensor signal receiving unit, and an alert output unit. The input data receiving unit receives sleep data and basic physical data related to the protected person. The estimation unit inputs the received data into a trained artificial intelligence, causing the artificial intelligence to estimate the protected person's activities of daily living data. The wandering possibility determination unit determines whether or not the protected person is likely to wander based on the data estimated by the artificial intelligence. The sensor signal receiving unit receives a signal from a bed exit sensor that detects the protected person getting out of bed. The alert output unit outputs a wandering alert based on the received signal when the protected person continues to get out of bed for a period of time that exceeds a standard bed exit time, provided that the wandering possibility determination unit has determined that there is a possibility of wandering.

A flexible touch sequence mat for rehabilitating patients having mobility, functional, coordination and cognitive issues stemming from neurological damage or disorder is disclosed. The touch sequence mat includes a function region with pressure sensors collecting spatial, temporal and magnitude pressure information when a patient is performing prescribed exercises, and a control module disposed on a controller region of a top mat surface. Also to provide a method of rehabilitating a patient with mobility, function, coordination and cognitive issues due to neurological damage or disorder comprising providing a touch sequence mat, performing an activity of daily living (ADL) on the touch sequence mat by the patient, generating a compensation map with spatial, temporal and magnitude pressure information of the patient, analyzing the pressure information to identify compensation by the patient, and prescribing a set of prescribed exercises for the patient to perform to correct for the compensation identified by analyzing the pressure information.

The present disclosure provides a method of treating Dementia with Lewy Bodies (DLB) in a subject, comprising administering to the subject a therapeutically effective amount of a compound of formula Compound I or a pharmaceutically acceptable salt thereof. The method improves cognition, activities of daily living, neuropsychiatric symptoms, and motor symptoms in the subject. The compound may be administered orally for about 6 months or longer, with a total daily dose of about 100 mg to about 300 mg. The method results in improvements in various assessment scales including Montreal Cognitive Assessment Scale (MOCA), Cognitive Drug Research Battery (CDR), Clinician Assessment of Fluctuation (CAF), Alzheimer's Disease Cooperative Study - Activities of Daily Living (ADCS-ADL), Neuropsychiatric Inventory (NPI), and Unified Parkinson's Disease Rating Scale (UPDRS).

The invention provides a method for predicting the onset risk of swallowing dysfunction of a stroke patient and application, and particularly relates to the technical field related to cerebrovascular diseases. According to the method, PSD independent predictive variables, specifically including brainstem lesion, daily life activity ability, hypertension, C-reactive protein and neutrophil, are identified in different levels of injured parts, functional states, past medical history and laboratory inflammation indexes through regression analysis; and constructing a model for predicting the onset risk of the swallowing dysfunction according to the five independent predictive variables. The model has good prediction performance and clinical practicability, and a scientific basis is provided for early warning and intervention of the PSD. By using the model, a clinician can quickly calculate the risk of swallowing difficulty of an individual patient. This contributes to early identification of high-risk individuals and facilitates timely intervention to reduce related risks.

To improve the learning effectiveness for learners of rehabilitation and activities of daily living. [Solution] The system includes an electroencephalogram (EEG) detection unit 2 that detects EEG signals indicating the brainwaves of the learner's undamaged side of the brain, a determination unit 32 that determines whether the strength of motor recall in the learner's damaged side of the brain is above a predetermined value based on the EEG signals, a stimulus application unit 4 that provides a stimulus to the learner as feedback based on the determination result of the determination unit 32, and a selection unit 34 that selects a stimulus application unit based on the ERN and / or Pe that appear when the learner's damaged side of the brain is stimulated.

The invention is suitable for the technical field of face recognition, and provides a user management method and device based on smart pension, and the method comprises the steps: collecting a to-be-recognized face image through a camera device, and obtaining a plurality of pre-stored standard face features; extracting real-time face features of the face image to be recognized; the real-time face features comprise five sense organ distribution features and real-time wrinkle texture features; calculating a vector similarity between the standard face feature and the real-time face feature; when the vector similarity is greater than a preset value, taking an activity area corresponding to the camera device as user management information; wherein the user management information is used for recording the daily activity type of the user. According to the user management method based on smart pension, through an improved face recognition technology and real-time user activity management, the recognition accuracy, stability and management efficiency of the system are remarkably improved.

A computer-implemented method for treating a patient suffering from Type I Diabetes (T1D). The method can include quantifying physical activity (PA) of the patient; calculating an accumulated PA periodically based on the quantified PA, the accumulated PA indicating an aggregate of the PA; and generating an activity informed insulin bolus by adjusting a prevalent functional insulin therapy bolus with a previous activity component, wherein the previous activity component is based on the accumulated daily PA, an activity profile, and an activity factor of the patient. The method can include determining an additional glucose uptake within a time period, the additional glucose uptake being caused by a PA; translating the additional glucose uptake into a number of insulin units with a same BG lowering impact; and generating an activity informed insulin bolus by adjusting a prevalent functional insulin therapy bolus with the insulin units.

Disease modification of specific neurodevelopmental disorders is demonstrated for preschool children through modulation of specific biogenic amine neurotransmitters and γ-aminobutyric acid (GABA) / glutamine. In specific, cumulative reductions in maladaptive behaviors that interfere with activities of daily living for preschool populations are achieved through staged, long term, treatment. Additionally, a prophylaxis for certain neurodegenerative disorders is presented. Provided herein are compositions comprising digestive enzyme preparations and methods of using same for treating neurological disease such as an Autism Spectrum Disorder (ASD).

To provide an evaluation system capable of discovering deterioration in ADL capacity of a tenant at an early stage with a simple configuration while protecting privacy.SOLUTION: A daily living activity evaluation system includes: at least one sensor (31-34) provided in a living space of a private room; measuring means (51 and 52) for measuring the time or the speed accompanying wake-up related activity related to wake-up of a user of the private room on the basis of a detection signal from the at least one sensor; history storage means (40) for storing a measurement value measured by the measuring means; and determination means (55) for calculating an amount of change in the measurement value stored in the history storage means, and determining presence or absence of the deterioration in the capacity of activities of daily living of the user on the basis of the calculated amount of change.SELECTED DRAWING: Figure 2

Disclosed are systems and methods for classifying body movements, including gestures and activities of daily living. This may include preprocessing data output from an accelerometer and gyroscope into features that are input into a movement classifier. In some examples, the disclosed technology may utilize user confirmed labels of movements to improve the accuracy of the movement classifiers. This may include providing a notification to a user when a movement classifier determines a particular movement is detected that requests confirmation of the movement label.