15 results about "Activity daily" patented technology

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.

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.

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.

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.

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.