13 results about "Physiologic States" patented technology

The application discloses a personalized massage prescription generation system based on multi-modal perception and semantic mapping, and belongs to the technical field of medical intelligence and modernization of traditional Chinese medicine. The system comprises a multi-modal perception and feature extraction module, a semantic analysis and knowledge reasoning module, an intelligent prescription decision engine module and a self-adaptive compliant control and execution module. The method realizes the full-process intelligentization of massage treatment through four core steps of multi-modal data fusion, semantic analysis of traditional Chinese medicine chief complaint, intelligent prescription generation and closed-loop adaptive execution. The application realizes the digitization of the logic of traditional Chinese medicine syndrome differentiation and treatment through semantic mapping of "syndrome-position-method", realizes the accurate assessment of the patient's body state and physiological state through multi-modal space-time fusion, realizes safe and adaptive massage execution based on the closed-loop control of the muscle fatigue index, solves the problems of blind execution, lack of personalization and large safety hazards of traditional massage equipment, and promotes the standardized inheritance and grass-roots popularization of traditional Chinese medicine massage skills.

Embodiments of the present application provide a method, system, device and equipment for recognizing physiological state of an animal, and relate to the technical field of data processing. In the recognition method, each video frame collected by an image collection device within a predetermined analysis period is analyzed and processed to determine target behavior characteristics and sleep characteristics of a target animal; radar data of a radar sensor within the predetermined analysis period is analyzed and processed to determine physiological characteristics of the target animal; based on the target behavior characteristics, sleep characteristics and physiological characteristics, comprehensive characteristics of the target animal are constructed; and the constructed comprehensive characteristics are input into a first recognition model pre-trained for physiological state recognition to obtain a physiological state recognition result of the target animal within the predetermined analysis period. Through the present solution, the recognition accuracy of the physiological state of the animal can be improved.

This application discloses a music recommendation method, device, and vehicle. The music recommendation method includes: acquiring passenger images, with the number of passengers being no less than two; identifying the behavioral state characteristics of each passenger based on the acquired images, including the passenger's facial expression, whether the passenger is asleep, and the passenger's body posture; and analyzing the human body state data of each passenger based on the behavioral state characteristics, whereby the human body state data can characterize the user's cognitive and physiological state; recommending music that matches the human body state data of the same category when the number of passengers corresponding to the same category of human body state data reaches a first threshold; and recommending music that matches the human body state data of the category with the highest priority based on the priority of each category of human body state data when the number of passengers corresponding to the same category of human body state data does not reach the first threshold, thereby improving the user experience.

This application relates to a method, device, equipment, and medium for real-time recommendation of ventilation parameters during surgery. The method includes: fusing multi-dimensional physiological signals from the patient to obtain a physiological state representation; determining a physiological scenario category based on the physiological state representation through scenario recognition processing; generating candidate ventilation parameters for each physiological scenario category according to preset ventilation parameter generation rules; generating a ventilation prediction result based on the candidate ventilation parameters and the physiological state representation through a preset rule mapping prediction model; and performing a scoring and selection process based on the ventilation prediction result and the candidate ventilation parameters using preset scoring rules to obtain recommended ventilation parameters. This method enables real-time intelligent recommendation of ventilation parameters, improving the accuracy and safety of ventilation management during surgery and optimizing clinical decision-making efficiency.

The disclosure provides that certain pupillary Light Off (LO) responses can be used to determine physiological statuses, for example, covert consciousness during general anesthesia, opioid intoxication, or respiratory depression. Thus, certain aspects of the disclosure provide methods of determining certain LO responses and their uses. In some embodiments, certain thresholds of LO response can be used to determine in a subject certain physiological statuses, such as covert consciousness during general anesthesia, opioid intoxication, and / or respiratory depression. In further embodiments, methods disclosed herein include monitoring a subject's LO responses and avoiding or limiting adverse events in the subject. Even further embodiments of the disclosure provide devices and kits for determining and / or monitoring LO responses and / or avoiding or limiting adverse events.

The application discloses a sleep management method and system, relates to the field of sleep management, acquires various human signals to determine the current sleep state of a human body, then constructs a state category and learns a corresponding intervention strategy according to the sleep state of the human body, generates a preset corresponding relationship, and if the current sleep state has a corresponding state category, the corresponding intervention strategy can be directly intervened; if the current sleep state does not have a corresponding state category, a new state category and a corresponding preset corresponding relationship are continuously constructed. The accuracy of monitoring and evaluation is improved by acquiring various fusion signals, the evaluation and intervention strategy are directly triggered, real-time and smooth intervention adjustment can be carried out according to the continuous and dynamic physiological state of a user, the state category is generated by real-time clustering of the sleep state in the application process, thereby constructing a personalized state category for the user, meeting the individual difference demand, and improving the user experience.

The application discloses an integrated infant sleep and intestinal distension active intelligent intervention system in the technical field of infant monitoring, which is used for monitoring and regulating an infant cabin, and comprises a multi-modal sensing module, an intelligent recognition processing module, an active intervention execution module and a safe interaction module.The multi-modal sensing module is used for collecting physiological state data of an infant in the infant cabin.The intelligent recognition processing module is used for receiving the physiological state data, recognizing an infant sleep state based on the physiological state data, and generating a control instruction.The active intervention execution module is used for executing the control instruction and regulating the infant cabin.The safe interaction module is used for feeding back the infant sleep state.Through the cooperative work of the multi-modal sensing module, the intelligent recognition processing module and the active intervention execution module, the active intervention execution module can automatically execute intestinal distension double-effect intervention and bionic lull intervention according to the recognition result, so that the intelligent level and intervention effect of infant monitoring are improved.

This invention discloses a method and system for inferring female physiological states based on multimodal physiological signals. The method acquires multimodal physiological signals from a user through a wearable device, including but not limited to skin temperature, heart rate variability, resting heart rate, sleep data, and electrodermal signals; constructs an individual baseline model for the user; based on the deviation characteristics of the current signal from the individual baseline, constructs a state space containing multiple candidate physiological states; performs constraint contraction processing on the state space, the constraints including at least two of the following: state transition order constraint, state duration constraint, signal change direction constraint, and multimodal signal collaborative constraint; and determines the final physiological state from the contracted state space. The method also includes a cycle segmentation mechanism, data sufficiency judgment and degradation control, closed-loop intervention effect evaluation, risk probability calculation, and intelligent suggestion generation based on a language model. This invention upgrades female cycle management from calendar-time-based calculation to constrained state inference based on real-time multimodal physiological signals, applicable to applications such as premenstrual syndrome prediction, ovulation period identification, assisted conception, contraception reference, early pregnancy monitoring, postpartum recovery tracking, and perimenopausal management.

The application relates to a dental tray stimulation device and a control method thereof. The control method of the dental tray stimulation device comprises the following steps: acquiring first state information for representing a physiological state of a patient; comparing the first state information with standard state information; determining whether the first state information is within the range of the standard state information; and if the determination result is no, controlling an electrode module to output a pulse signal. The design of the control method enables the dental tray stimulation device to perceive the tongue state in real time and perform millisecond-level intervention during the sleep process of the patient, truly realizes the purpose of on-demand treatment, avoids the occurrence of hypoxia events, greatly reduces the required stimulation intensity of treatment, reduces the risk of the patient being awakened due to strong stimulation, and significantly improves the sleep quality.

A surgical computing system and / or a surgical instrument may determine situational awareness about a surgical procedure based on information provided by one or more sensors and dynamically adapt operation and / or control of surgical instruments and / or communication of information to healthcare professionals based on the determined situational awareness. Situational awareness may include, for example, an importance level (e.g., a stress level or attention) of a health care provider, possession of a controllable surgical instrument by a health care provider, and / or body positioning of a health care provider. Situational awareness may be determined based on information provided by one or more personnel (e.g., wearable) sensing systems, environmental sensing systems, and / or surgical instruments, such as one or more of healthcare provider data (e.g., position, posture, balance, motion, attention, physiologic states), environmental data (e.g., operating room noise level, patient data, healthcare provider data), and / or surgical instrument data (e.g., position, motion, possession, and / or usage).