81 results about "Mental well-being" patented technology

The invention provides apparatus and methods for home or other remote delivery of health care that gather subjective and objective measures of patient health and treatment, analyzing them (e.g., correlating them with one another and / or with norms) and reporting them to aid in on-going patient diagnosis and treatment (both on acute and chronic bases), as well as to aid physicians, nurses and other caregivers in decision support, monitoring treatment compliance, facilitating regulatory compliance, billing, and so forth. Thus, for example, in some aspects a health care delivery device comprising a medical treatment apparatus, such as a home hemodialysis or home peritoneal dialysis unit, that is coupled to a processor. The processor generates patient queries in connection with treatments rendered by the dialysis equipment (or other treatment apparatus). The queries are directed, at least in part, to subjective topics, such as the state of the patient's mental health and well being, quality of life, degrees of pain, views on success of therapy, and so forth. They are presented on an LCD screen or other output device coupled to the processor to elicit responses on a keyboard or other input device, also coupled to the processor.

The invention discloses a prisoner psychological health state assessment method and a system based on multi-modal information. The method comprises the following steps: obtaining physiological signals, facial expression images and voice signals of reformed prisoners and prisoners to be tested after they experience virtual reality scenes, and extracting physiological signal features, facial expression image features and voice signal features from the obtained signals; inputting the physiological signal features, facial expression image features and voice signal features of the reformed prisonerinto a pre-trained neural network model, and outputting a psychological state assessment vector of the reformed prisoners; inputting the physiological signal features, the facial expression featuresand the voice signal features of the prisoners to be tested into a pre-trained neural network model, and outputting a psychological state assessment vector of the prisoners to be tested; calculating the psychological state assessment vector distance between the prisoners to be tested and the reformed prisoners; and assessing the mental health state of the prisoners according to the distance.

The present invention is directed to a method for improving the quality of life of a patient. The method involves assessing the patient's quality of life by evaluating parameters relating to the patient's health, and assigning a score in relation to the evaluated parameters. In one version, the patient's score is compared to a standard score, and a treatment program is assigned to the patient on the basis of the comparison. The evaluated parameters may be related to the patient's mental health and physical health, and a mental health score and a physical health score can be assigned. In another version, the mental health score is compared to the physical health score, and a treatment regimen is assigned on the basis of the comparison. The method allows for improvement in quality of life of the patient by providing for a substantially objective assessment of parameters relating to the patient's health.

A system for monitoring people's activity and / or health while at the same time preserving their privacy. Monitoring is accomplished by detecting state of people's electronic devices, e.g., a smart phone. When use of the monitored device deviates from an expected use an alert is automatically sent to a monitoring device. The relationships between users are optionally maintained in a social network. Privacy is strictly protected by reporting only deviations from use according to rules set by the person being monitored. Optionally an activity monitoring system receives data from multiple sources such as a home security system, IoT devices and a smartphone. The use of multiple data sources provides an improved activity monitoring system capable of distinguishing normal activity from abnormal activity that may be indicative of a physical or mental health condition. Variations in the monitored activity are used to identify potential health issues for the user. If a health issue is identified, an alert may be sent to a remote third party. A human augmented positive feedback loop is used to generate data for training of machine learning systems.

Embodiments of the present disclosure relate to a head-worn apparatus, comprising: a frame adapted to be mounted to a head of a user; a light emitting system positioned within the frame to provide light to an eye of the user; a sound system adapted to provide audio to the user; a haptic system positioned within the frame to provide haptic feedback to the user; and a processor adapted to control the lighting system, audio system and haptic system in a coordinated pattern of light, sound and haptics that causes a mental-health therapeutic stimulus provided to the user, whereby the user experiences an improvement in mental performance based on the coordinated pattern.

Behavioral and mental health therapy systems in accordance with several embodiments of the invention include a wearable camera and / or a variety of sensors (accelerometer, microphone, among various other) connected to a computing system including a display, audio output, holographic output, and / or vibrotactile output to automatically recognize social cues from images captured by at least one camera and provide this information to the wearer via one or more outputs such as (but not limited to) displaying an image, displaying a holographic overlay, generating an audible signal, and / or generating a vibration.

The invention discloses a police health management system and method. The system comprises a police smart wristband, an APP loaded on police mobile equipment and a health management cloud, the policesmart wristband is in communication connection with the APP; the APP is in communication connection with the health management cloud; real-time physiological index data and psychological scale data ofpolice officers are collected through the police smart wristband; a health classification model is established after deep learning is carried out on the health management cloud; and the real-time physiological and psychological health data are analyzed by using the established health model to obtain the current physical health condition of the police officers, and life work and rest prompt, fitness plan arrangement and health problem correction guidance are performed according to the health condition of the police officers, so that the purpose of improving the physical and psychological health quality of the police officers is achieved. According to real-time acquired data, the health risk of the police officers can be found in time, especially for sudden diseases, emergency quick response is achieved, and the number of people sacrificed by the police officers due to health crisis can be reduced.

The invention, while providing an information application for multiple file systems by means of a cloud computing platform, creatively combines the information applications of multiple commercial module systems and multiple professional service module systems to realize the sharing of IT resources and information resources, constructs an Internet+ mental health industrial closed-loop ecological chain platform and commercial operation business model, creates a diversified information service space for information, technology and management service innovation such as mental health industrial resource integration, system construction, and commercial operation, develops and uses open information resources to the utmost extent, promotes the standardized service, the scientific management and the orderly benign development of the mental health industry, cultivates the standardized benign ecological development environment for the mental health service market to promote the maturity of the industry, and serves the mental health need market.

The invention provides a method and system by which research data can be collected and analyzed during the course of the research testing, and the research testing itself possibly modified to account for conclusions drawn from the research data. In a first aspect of the invention, a research subject can respond to a protocol stored on a server by manipulating input keys on a remotely located client device onto which a research protocol has been installed. The protocol can include questions concerning the subject's physical or mental well being such as whether their symptoms are relieved or not, or even exacerbated. The protocol can also include calling for data obtained by coupling the client device with another medical device such as a glucose monitor. In a preferred embodiment, the subject is presented with narrowly structured questions and suggested answers provided by the protocol. The set of possible answers is restricted. In the event that a suggested answer is ambiguous, inapplicable or raises new questions, a protocol can present a new question to the subject.

An traditional-diagnosis-bypassing method for improving a mental health patient-therapy program through incorporating in it, centrally, a patient's expressed therapy goals, including (a) accessing an electronic information system which is programmed with information-capturing and related-question-based, guiding software associated with patient-personalizing therapy planning, structuring and implementing, (b) encouraging a collaboration dialogue between patient and professional to capture information relating to the patient's mental health symptoms and associated, patient-expressed therapy goals, and collaboratively entering related dialogue information into the system, and (c) based upon such information entering, and through professional-and-patient interactive engagement with the system, and functioning expressly in a conventional-diagnosis-bypassing, question and answer mode which is bottomed centrally upon recognizing the patient's expressed therapy goals, collaboratively designing, building, and thereafter implementing, a patient-specific therapy.

Methods and systems are provided for detecting a mental health condition. Structured and unstructured information is analyzed using natural language processing to extract information including clinical data values and medical concepts pertaining to a user. Reference medical information is evaluated using natural language processing to correlate medical data with mental health conditions. A classification for a mental health condition of the user is determined using a machine learning model and based on the extracted information and correlations, wherein the extracted information includes blood analysis for the user. The user is assigned to a segment of users based on the extracted information. A treatment for the mental health condition of the user is indicated based on the classification and the assigned segment of users.

Systems and methods to mitigate negative effects of a drug in a treatment of a mental health condition include administering a drug to a subject in a therapy session; determining effects of the drug, the effects being counterproductive to the therapy session; and providing tactile stimulation to a subject with a stimulation device that generates transcutaneous vibratory output to be applied to a portion of a body of the subject during the therapy session, wherein the transcutaneous vibratory output is selected to reduce the counterproductive effects of the drug.

Provides is an Internet of Things (IOT) system for management of a stress level and mental health of a human body. The system has one or more body sensors and a primary processing unit that runs an artificial intelligence system. The body sensors are adapted to measure atleast one of a physiological parameter of the human body, body movement of the human body, or heat expenditure of the human bodyor combination thereof, and to generate a body data periodically or in realtime. The primary processing unit is adapted to receive and process the body data and adapted to determine atleast one of the mental health of the human body and the stress level of the human body. The primary processing unit is adapted to provide therapies and give insights about the effectiveness of psychological therapies including CBD, meditation and mindfulness in a quantitative manner.

The invention discloses a mental health early warning and management method, system and device and a storage medium. The method includes: a step S10 of managing questionnaire data by a school terminal; a step S20 of generating a questionnaire package by a college terminal based on a questionnaire database in order to manage the questionnaire package; a step S30 of issuing the questionnaire packageby the college terminal; a step S40 of receiving a questionnaire test of the questionnaire package from a student terminal; and a step S50 of automatically sending a feedback and early warning promptaccording to a questionnaire test result. The method solves the problem that the conventional the mental health test of college students lacks automatic feedback and inability to provide early warning.

Behavioral and mental health therapy systems in accordance with several embodiments of the invention include a wearable camera and / or a variety of sensors (accelerometer, microphone, among various other) connected to a computing system including a display, audio output, holographic output, and / or vibrotactile output to automatically recognize social cues from images captured by at least one camera and provide this information to the wearer via one or more outputs such as (but not limited to) displaying an image, displaying a holographic overlay, generating an audible signal, and / or generating a vibration.

The invention relates to bacteria of the species Lactobacillus paracasei and / or compositions comprising Lactobacillus paracasei for use in preventing and / or treating a mental illness, a symptom affecting mental health and / or a condition associated with chronic stress, in a mammal. The invention further relates to methods and uses of said bacteria of the species Lactobacillus paracasei and / or compositions. The invention can be applied in restoring, maintaining, and / or promoting mental (including cognitive) health and has potential applications, inter alia, in the area of dietary and food supplements, medicaments and pharmaceuticals.

The present invention relates generally to an alternative apparel sizing system and method that replaces the current numerical sizing system with descriptive affirmations. More particularly, the present invention, through the use of the descriptive affirmations, will provide the clothes shopping consumer a more positive shopping experience by improving their overall self-image and psychological well-being.

The invention provides a personnel mental health monitoring method and system and an intelligent terminal, and the personnel mental health monitoring method comprises the steps: S101, collecting the historical data of a person, and obtaining the risk factors of the person according to the historical data; s102, generating a psychological questionnaire according to the risk factors, and controlling the terminal to display the psychological questionnaire after it is determined that the identity recognition of the person is passed; and S103: obtaining answer data of the psychological questionnaire, obtaining a risk score of the personnel according to the answer data, obtaining risk data based on the risk score, and performing risk early warning through the risk score. The method is short in time consumption and high in accuracy, mental health monitoring can be carried out on the personnel in real time, mental changes of the personnel can be found in time, corresponding processing can be carried out in time, the possibility that the personnel make behaviors harming safety is reduced, and safe operation of a place is guaranteed.

The invention relates to the technical field of machine learning, in particular to a mental health assessment method based on privacy calculation. The method comprises the following steps: acquiring random data for testing the mental health level of a user, and performing preprocessing to obtain preprocessed user mental health test data; performing Paillier homomorphic encryption on the preprocessed psychological health test data of the user to obtain encrypted data; and sending the encrypted data into a psychological health state assessment model, and judging whether the user has psychological symptoms and how the severity of the psychological symptoms is to obtain an assessment result. According to the method, the privacy data of the user for mental health assessment in the cloud environment can be effectively protected, and the privacy data of the user is prevented from being leaked.

The invention belongs to the technical field of medical and nursing equipment, and relates to an intelligent nursing bed chair. The problem that the elderly or the disabled people can not act independently and are poor in self-care ability and low in self recognition degree and the labor intensity of nursing staff is high, the action ability of the elderly and the disabled people can be effectively enhanced, the daily life of the elderly and the disabled people becomes convenient, and the intelligent nursing bed chair has a profound influence on the mental health, the self evaluation and the mental states of the elderly and the disabled people; in the butt-joint / separation process of the whole nursing bed and an intelligent wheelchair, tracking, wheelchair posture adjustment and the closecoordination of a brake all achieve automatic control, and only by pressing one button, the nursed people can complete butt-joint work without the help of nursing staff. The nursing bed chair is simple in overall structure and easy to operate, improves the self-care ability of the nursed people and the self-recognition degree, reduces the labor force of the nursing staff, and has a broad market prospect and good economic benefits.

The invention discloses a system design and implementation method of homomorphic encryption in student mental health investigation, and belongs to the field of symmetric key cryptography and public key cryptography. According to the method, firstly, a user uses a key generator to generate an identity authentication code, then, the user logs in a system to fill in a survey report, then, the system ensures full homomorphic calculation of a cloud end by using a full homomorphic algorithm (somewhat algorithm) constructed by a pallier addition homomorphic structure and an RSA multiplication homomorphic structure, and finally, the user inquires and detects a ciphertext result through a ciphertext index, and exports and decrypts by using a private key to obtain the mental health assessment. The student trust psychological health evaluation system can be guided to obtain a real test effect. Therefore, the system can meet the privacy protection requirement of mental health evaluation in an online environment, and the privacy right of the user is better protected. The method not only can be applied to the mental health evaluation level, but also has a good application prospect in various online surveys such as occupational attainment evaluation and the like.

The invention provides a mental health testing device and method based on brain wave data, and the device comprises a host which is connected with a brain wave collection electrode and a static bracelet, and the brain wave collection electrode is used for collecting the brain wave data; the static bracelet is used for absorbing static electricity; the host is used for extracting mental health related electroencephalogram characteristics from the brain wave data, outputting concentration degree, relaxation degree parameters and electroencephalogram parameters, establishing a norm range and reflecting the mental health condition of the tested person from a plurality of dimensions. According to the method, brain wave parameters can be accurately analyzed and output on the basis of brain wave signals generated by collecting brain activities, meanwhile, the mental health state of the tested person is analyzed and calculated by means of a brain wave algorithm and brain wave big data, compared with a scale question and answer form, answering and scale are not needed, subjective interference can be effectively eliminated, and the accuracy of the test result is improved. Therefore, the accuracy of psychological testing is improved.

Methods and systems for using augmented reality (AR) technology in the mental health / developmental disorder treatment field. More particularly, methods and systems for providing a mental health / developmental disorder treatment service, process and system that introduces an input of a licensed healthcare professional into a patient's field of vision while he or she is utilizing a wearable medical device or wearable device.

The invention discloses an intelligent mental health screening system based on a BP neural network. The intelligent mental health screening system comprises a mental disease questionnaire setting module, an investigation data evaluation and labeling module, a BP neural network model training module and a mental disease screening module which are connected in sequence, the mental disease questionnaire setting module is used for setting the content of a mental disease questionnaire; the survey data evaluation and labeling module evaluates and labels questionnaire survey results; the BP neural network model training module inputs a data sample from the survey data evaluation and label module and carries out model training to obtain a BP neural network model; the mental disease screening module carries out questionnaire survey on a new potential patient, inputs data of the questionnaire survey into a BP neural network model obtained by the BP neural network model training module, and judges the illness condition of the potential patient. According to the invention, the BP neural network is used to obtain the disease result of the potential patient, the subjectivity of disease judgment is reduced, and the privacy of the potential patient is greatly protected.

The invention relates to the technical field of mental health prevention, and specifically discloses a cloud computing-based eye movement data mental health feedback device; including imaging VR glasses body, a relaxation seat and an eyebrow sticker with a small magnetic block, the relaxation seat includes a bottom The seat and the cushion arranged on the upper end of the bottom seat, the left end of the cushion is connected to the backrest, the body of the imaging VR glasses includes the eye mask body on the front side and the imaging shell on the rear side, and Hall circuit components are arranged on both sides of the imaging shell The eye movement data mental health feedback device based on cloud computing disclosed in the present invention does not need to hold VR glasses during use, and the whole device is more comfortable to use, and the principle of the Hall effect is used to collect the user's eye movement data, It effectively avoids the harm to the user's eyes caused by the existing principle of irradiating the eyes with infrared light and then capturing spot images through the camera unit. It has higher safety performance and the whole design is more novel.

A method of measuring non-invasive ocular metrics is used to diagnose a mental health state of a patient. The method includes presenting a stimuli on an electronic display screen and recording a video of at least one eye of a patient by a video camera. The stimuli is configured to elicit a change in an ocular signal of the patient's eye. Software processes image frames of the video through a series of optimized algorithms configured to isolate and quantify the at least one ocular signal by applying an image mask isolating components. An algorithm estimates a probability of a mental health state based on the change in the at least one ocular signal. The estimated mental health state can be shown to the patient or to a mental health professional.

The invention relates to novel bacteria of the species Lactobacillus plantarum and to compositions comprising Lactobacillus plantarum, and methods and uses of said compositions for preventing and / or treating mental illness, symptoms affecting mental health and / or conditions associated with chronic stress, in a mammal. The invention can be applied in restoring, maintaining, and / or promoting mental (including cognitive) health and has potential applications, inter alia, in the area of dietary and food supplements, medicaments and pharmaceuticals.