221 results about "Dementia" patented technology

This disclosure relates to dosage forms comprising bupropion hydrochloride, another salt form of bupropion, or the free base form of bupropion; dextromethorphan hydrobromide, another salt form of dextromethorphan, or the free base form of dextromethorphan, and a polymer. In some embodiments, the dosage form has no significant dose dumping of bupropion in the presence of ethanol in vitro. In some embodiments, the dosage form does not have a food effect for bupropion or dextromethorphan when taken with a high-fat meal in human subjects. Some embodiments include a method of treating a nervous system condition (such as depression, e.g., major depressive disorder, including treatment-resistant depression, agitation associated with Alzheimer's disease (or agitation associated with dementia of the Alzheimer's type), agitation associated with dementia, anxiety (or generalized anxiety disorder), neuropathic pain, or peripheral diabetic neuropathic pain) comprising, administering a dosage form described herein to a human being in need thereof.

The invention discloses a dementia identification method based on brain computer network space cross attention fusion. The dementia identification method comprises the steps that resting-state electroencephalogram signals are acquired, preprocessing and brain network construction are carried out, the frequency band power ratio is calculated, and a training set and a test set are divided; the brain network fuses the spatial information, and spatial features are obtained through an isotropic graph neural network and a local feature enhancement module; the frequency band power ratio is coded by a multi-layer perceptron to obtain frequency spectrum statistical characteristics; a bidirectional cross attention module is input, and complementary fusion features are extracted; and performing mixed pooling and splicing on the complementary fusion features, then sending the fused features to a Chebyshev Kolmogorov-Arnold network classifier, and outputting an Alzheimer's disease / frontotemporal dementia / health control (AD / FTD / HC) classification result and a cognitive scale evaluation score (MMSE). According to the method, the multi-feature complementary information is effectively integrated through joint modeling of the spatial diagram features and the global spectrum features, and the accuracy, stability and generalization ability of AD and FTD classification in a complex brain network are improved.

The invention discloses a dementia intervention scheme recommendation method and system based on a knowledge graph, and relates to the technical field of intelligent medical treatment and artificial intelligence. And constructing a dementia intervention knowledge graph containing patients, symptoms, intervention measures and environmental elements. And performing intelligent semantic reasoning on the short-term state, the long-term behavior mode and the nursing environment of the patient by fusing multi-level reasoning and situational reasoning, generating a candidate intervention scheme matched with the current state of the patient, and outputting a personalized recommendation result. In the intervention implementation process, the knowledge graph association relation is dynamically updated based on patient behavior feedback and symptom changes, and continuous optimization and self-adaptive adjustment of an intervention scheme are achieved. According to the method, the individuation level, long-term adaptability and safety of dementia intervention recommendation are improved, and the method is suitable for clinical and long-term nursing scenes.

Provided is a data processing system capable of detecting that a user may have initial symptoms of dementia.　The data processing system comprises: a necklace-type terminal including a microphone that collects a user utterance of a wearer, a collection unit that collects an output of the microphone, and a communication unit that transmits the output of the microphone collected by the collection unit to an external device; and a data processing device. The data processing device includes: an input unit that receives the user utterance collected by the microphone; and a processing unit that, when a remark indicating a sign of dementia is included in the user utterance, notifies a preset notification destination that the wearer may have dementia.

In the homes where elderly people are accustomed to living, the knee joints are subjected to a lot of stress when going up and down stairs, especially when going down them, which causes frequent falls and can lead to serious health problems such as fractures, hospitalization, and even becoming bedridden or experiencing the progression of dementia. [Solution] Hydraulic bags containing hydraulic oil are placed under the treads of each staircase, and the hydraulic bags are connected to each other by hoses with control valves. When the operating lever inside the handrail is gripped, the wire opens the control valve, and the hydraulic oil is pushed out by the user's weight, causing the treads to descend. The pushed-out hydraulic oil is injected into an empty hydraulic bag container on the floor below, causing the treads on the lower floor to rise and be at the same floor height. This provides an inexpensive, non-powered elevator "specialized for descending," allowing users to easily descend to the floor below without bending their knees.

To provide an AI system capable of estimating severity of dementia and / or depression in a subject on the basis of information obtained outside a hospital.SOLUTION: A method of creating teacher data for an AI system for estimating severity of dementia and / or depression is provided. Information to be used as teacher data for the AI system can be acquired from a site where a user receives prescribed drugs or from an application on a mobile terminal used by the user. The teacher data at least includes a face picture of the user, and a prescription, instruction, or information that enables estimation of dementia and / or depression in the user.SELECTED DRAWING: Figure 1

The present invention relates to a system and method configured for analysing acoustic parameters of speech to detect, diagnose, predict and / or monitor progression of a condition, disorder, or disease, and more particularly, any of paediatric and adult neurological and central nervous system conditions including but not limited to low back pain, multiple sclerosis, stroke, seizures, Alzheimer's disease, Parkinson's disease, dementia, motor neuron disease, muscular atrophy, acquired brain injury, cancers involving neurological deficits, paediatric developmental conditions and rare genetic disorders such as spinal muscular atrophy. The system and method extracts a first formant data set from words spoken by an individual and uses these to classify the vowels in the words on a first computing device, such as a mobile smart phone equipped with a microphone into which an individual speaks. The system stores at least some of these frequencies for the vowel formants in a second formant data set as a recorded file and provides the second formant data set as input to acoustic metrics to generate score data from which an assessment is made to determine the articulation level of the vowels in the words spoken by the individual, allowing allow for detection, diagnosis, prediction and / or monitoring progression of the condition, disorder, or disease.

The present invention provides a control device that can detect operators who are presumed to be in a state where operating a mobile device is undesirable, such as dementia, while also minimizing inconvenience for healthy operators. [Solution] In the control device 10, the question control unit 3 displays a question on the display unit 13 to the driver operating the vehicle, and the output control unit 5 issues a warning or restricts the starting of the vehicle's engine based on the driver's answers to the questions. The question control unit 3 also controls the frequency of presenting subsequent questions based on the driver's answers.

The objective of the present invention is to provide an Alzheimer-type dementia suppressant that is safe and thus can be administered daily and utilized as a health food and by which Alzheimer-type dementia can be suppressed, and a method for producing the Alzheimer-type dementia suppressant. In addition, the objective of the present invention is also to provide a use of an aboveground part of Sesamum indicum or an extract thereof for suppressing Alzheimer-type dementia, and a method for suppressing Alzheimer-type dementia. The Alzheimer-type dementia suppressant according to the present invention is characterized in comprising an aboveground part of Sesamum indicum or an extract thereof as an active ingredient.

Dementia wayfinding sign template

The invention discloses a dementia disease identification method and system based on space-time-frequency multi-dimensional feature fusion, and belongs to the technical field of smart medical treatment. The method comprises the following steps: preprocessing an electroencephalogram signal of a target user; extracting space-time-frequency multi-dimensional features of the preprocessed electroencephalogram signals; and performing classification based on the space-time-frequency multi-dimensional features to obtain a dementia disease recognition result. According to the invention, high-precision and automatic identification can be carried out on dementia diseases such as Alzheimer disease and frontotemporal dementia.

An apparatus and a method for predicting dementia by using polyhedral drawing are disclosed. The disclosed method comprises: step (a) of acquiring a polyhedral drawing image drawn by a user; step (b) of converting the polyhedral drawing image into graph structure data having nodes and edges; step (c) of inputting the graph structure data into a graph neural network to obtain an embedding vector for the graph structure; step (d) of obtaining feature vectors for additional information including the user's age input from the user; step (e) of inputting the embedding vector and the feature vectors for the additional information into a self-attention neural network to calculate the importance of each of the vectors; and step (f) of determining whether the user has dementia through neural network calculation on the basis of a result of the importance calculated in step (e). According to the disclosed apparatus and method, it is advantageous in that the initial diagnosis accuracy of dementia can be increased by using an artificial neural network by appropriate pre-processing of a polyhedral drawing, and the initial diagnosis accuracy of dementia can be increased by integrally analyzing various types of data by using a complex artificial intelligence system.

An object of the system according to the embodiment is to allow a dementia patient to correctly and clearly recover past memories.SOLUTION: A system according to an embodiment includes smart glasses, a face recognition unit, a speech recognition unit, a generation and AI unit, and a display unit. The face recognition unit recognizes a face using a camera built in the smart glasses. The voice recognition unit recognizes voice using a microphone built in the smart glasses. The generation AI unit summarizes the memory based on the information obtained from the face recognition unit and the speech recognition unit. The display part displays the memory summarized by the generation AI part.SELECTED DRAWING: Figure 1

Dementia wayfinding sign template

The present invention relates to compounds according to formula (I), which are prodrugs of the psychoactive compound phenethylamine or its derivatives. The prodrugs provided herein exhibit improved pharmacokinetic properties during uptake as compared to phenethylamine (or the respective phenethylamine derivative), as well as reduced side effects resulting from the metabolites thus formed. Due to the affinity of the active phenethylamine compound, inter alia, for the 5-HT2a-receptor, these prodrugs are particularly advantageous for use in therapy, e.g., in the treatment of depression, posttraumatic stress disorder (PTSD), Alzheimer's disease or dementia.

Dementia-friendly wayfinding signage

The invention relates to a novel compound as a 5-HT2A receptor inverse agonist, and a preparation method and a pharmaceutical composition thereof. The invention also relates to application of the compound or the pharmaceutical composition in preparation of drugs for treating 5-HT2A receptor related diseases, wherein the diseases comprise non-motor symptoms caused by Parkinson's disease, such as delusional disorder, hallusion, depression, anxiety, cognitive disorder and sleep disorder; dementia-related mental disorders; major depression; or negative symptoms of schizophrenia and the like.

The system according to the embodiment aims to appropriately grasp the toilet timing of people with dementia or higher brain dysfunction, thereby reducing the burden on caregivers. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, and a calling unit. The collection unit collects data on the subject using a motion sensor, a heart rate sensor, and a body temperature sensor. The analysis unit understands the subject's condition based on the data collected by the collection unit and predicts when the subject will need to go to the toilet. The calling unit uses a caregiver avatar to call out to the subject and guide them to the toilet based on the analysis results obtained by the analysis unit.

A compound of formula (I), or a salt thereof that may have an antagonistic action against an NMDA receptor that includes an NR2B subunit and may be useful as a prophylactic or therapeutic agent for depression, bipolar disorder, migraine, pain, a symptom peripheral to dementia, or the like.

A cognitive function-improving agent containing one or both of Bifidobacterium breve FERM BP-11175 and a culture of Bifidobacterium breve FERM BP-11175 as an active ingredient for administration to a subject who has not developed dementia is provided.

The system of the embodiment aims to remotely monitor the health status of elderly people living alone and detect the risk of dementia and depression at an early stage. [Solution] A system according to an embodiment includes a voice recognition unit, a conversation recording unit, a health monitoring unit, and an alert unit. The voice recognition unit recognizes voices. The conversation recording unit records conversations based on the voices recognized by the voice recognition unit. The health monitoring unit monitors health conditions based on the conversations recorded by the conversation recording unit. The alert unit sends an alert for dementia or depression based on information monitored by the health monitoring unit.

Dementia wayfinding sign template

The present application provides a light treatment device for suppressing or preventing Alzheimer's disease. A light treatment device includes a carrier structure and an array of near-infrared irradiation units. The bearing mechanism forms an accommodating space for the head of the object and bears the array of the near-infrared irradiation units. The array of near-infrared irradiation units is configured such that near-infrared light is emitted into the accommodation space, when the head of the subject is in place, an irradiation space range covering at least the anterior upper cranial portion, the top cranial portion, the left cranial portion and the right cranial portion is formed, and the time-average total irradiation power of the head cover portion acting on the head of the subject is 27.5 W or more, 31 W or more, 40 W or more, or 60 W or more, and the irradiation power of the head cover portion acting on the head of the subject is 27.5 W or more, 31 W or more, 40 W or more, or 60 W or more. Or more than 70W, and the space-time average optical power density irradiated to each part does not exceed 230mW / cm < 2 >. The light treatment device does not depend on nasal and ocular irradiation, achieves an optimized treatment effect on AD patients from MCI to dementia during the course of treatment, and not only effectively maintains the treatment effect but also continuously increases the treatment effect when the light treatment is interrupted.

Disclosed is a low-dose radiation treatment system for dementia or chronic inflammation treatment based on a photon energy beam emission form, the low-dose radiation treatment system including: a low-dose radiation therapy device wherein a treatment bed where a patient receives treatment while lying down is formed on a device body and a plurality of carbon nanotube sources are installed around an inner periphery of a ring-shaped gate of the device body to form a radiation gantry so that therapeutic radiation is irradiated toward the patient's body; and a controller configured to check a patient's condition using entered patient information and to set a treatment direction, and then to perform radiation therapy by controlling an operation of the low-dose radiation therapy device, wherein pulsed beam-type carbon nanotube sources are installed around the inner periphery of the radiation gantry, and the controller controls a radiation beam irradiation time (beam on-off time) of the carbon nanotube sources and a radiation beam irradiation interval between the carbon nanotube sources to control the radiation beam irradiation interval to a cell damage repair time (DNA repair time) of being capable of repairing DNA damage in normal cells.

Embodiments directed to a computer-implemented diagnostic system and method to determine various diagnoses for different users, as well as symptom severity and onset of conditions associated with such diagnoses are described. In one example, a computer-implemented method of diagnosing health conditions for users includes identifying a defined linguistic pattern in digital biomarker data of a user. The method further includes prompting the user to perform a defined screening test based at least in part on identifying the defined linguistic pattern. The method further includes monitoring linguistic performance of the user while the user performs the defined screening test. The method further includes determining a diagnosis for the user based at least in part on the defined linguistic pattern, the linguistic performance, and a test result for the user from the defined screening test.

The system according to this embodiment aims to detect individuals at risk of dementia early on, even without the subject actively participating in the examination, and to provide advice on improving their lifestyle. [Solution] The system according to this embodiment comprises a collection unit, an analysis unit, and a provision unit. The collection unit collects data stored on a smartphone. The analysis unit analyzes the data collected by the collection unit and determines whether the person is at risk of developing dementia. The provision unit provides advice on improving lifestyle habits based on the determination results obtained by the analysis unit.

The invention discloses a vascular cognitive impairment prediction method, a computer program product and a terminal, and belongs to the field of deep learning. Feature information of medical time sequence data of a patient is extracted based on a time sequence data processing model; compressed feature representation of the feature information is learned through the information bottleneck; and performing prediction according to the compressed feature representation to obtain a prediction result of the disease progress. According to the method, the time sequence data processing model is used for capturing time dependence in the time sequence data, features related to the disease progression of dementia are effectively extracted from clinical data, then the features are screened by adopting information bottleneck, the most important features for classification prediction are identified, redundant and irrelevant information is eliminated, and the accuracy of classification prediction is improved. Therefore, the accuracy of classification prediction is improved. Furthermore, in order to simulate and generate various possible future data paths and reflect the uncertainty in the data, future process data is generated by using a diffusion model after feature extraction.

Dementia-friendly wayfinding signage

Dementia wayfinding signs