4 results about "Recovery phase" patented technology

The application discloses a kind of multi-actuator collaborative targeting control method and system of intelligent waist pad.The method is first based on anatomical static weight and muscle collaborative coupling matrix to calculate muscle function importance score, introduce historical habit and hardware state factor to generate integrated control priority;Subsequently, based on priority, construct trapezoidal motion envelope, according to the score dynamically set gradual time window, execute intermittent unloading cycle containing recovery phase;Finally, through staggered start strategy, air line bus pressure monitoring and mechanical resonance suppression algorithm, the action of multiple actuators is finely scheduled.The application realizes the precise hierarchical intervention to the core and auxiliary muscle groups of waist and back, while ensuring physiological comfort, solves the surge current and air line pressure loss problem caused by multiple load concurrency, improves the electrical safety and mechanical stability of system operation.

The invention provides a postoperative recovery state monitoring method and system for a patient with a preventive protective stoma, and belongs to the technical field of medical equipment.The method specifically comprises the steps that based on target patient data in different active interaction recovery stages, when it is determined that active interaction processing cannot be carried out on all patients through a doctor, the patient recovery state is monitored; according to the evaluation monitoring method, active interaction recovery time period data in a recovery stage at the later stage of the recovery stage is taken as a basis, an active interaction processing strategy of a doctor in the recovery stage is determined based on interaction data of a patient, and the postoperative recovery state of the patient is determined according to the active interaction processing strategies of the doctor in different recovery stages. And the timeliness of monitoring, evaluating and processing the postoperative state is improved.

The application provides a postoperative recovery state monitoring method and system for a protective colostomy patient, and belongs to the technical field of medical devices, and specifically comprises the following steps: based on target patient data in different active interaction recovery stages, when it is determined that not all patients can be processed through active interaction of doctors, active interaction recovery period data in the later recovery stage is taken as a basis, active interaction processing strategies of doctors in the recovery stage are determined based on interaction data of the patient, and a postoperative recovery state evaluation monitoring method of the patient is determined according to the active interaction processing strategies of the doctors in different recovery stages, so that the timeliness of postoperative state monitoring and evaluation processing is improved.

The invention relates to the technical field of vital sign monitoring and evaluation, in particular to an operating room anesthesia recovery stage patient wake-up progress dynamic evaluation method, which comprises the following steps of: obtaining anesthesia recovery stage intervention behaviors, performing time sequence arrangement, performing segmentation and statistics according to time dimensions, analyzing intervention density change, adjusting an evaluation time range, and obtaining an evaluation result. And performing association analysis in combination with the vital sign signals in the corresponding time periods to form a patient waking progress dynamic evaluation conclusion. According to the method, quantitative expression and change trend capture of intervention density are achieved by constructing a structured intervention operation sequence and performing time granularity segmentation statistics, the evaluation boundary is adjusted in combination with the density difference value direction, the focusing capacity for the state active period is improved, and on the basis, continuous electroencephalogram and blood oxygen signal sequences are extracted and subjected to pairing analysis; collaborative fluctuation characteristics of nerve and blood oxygen response are recognized, dynamic quantitative judgment on the awakening process is formed, and the precision and timeliness of state recognition are enhanced.