6 results about "Reference site" patented technology

This invention provides a wearable acoustic diagnostic system for the knee joint and its signal processing method, addressing the problems of significant environmental noise interference and insufficient accuracy in biomechanical event detection in existing technologies. The system includes: a main sensing unit worn on the knee joint; an environmental reference sensing unit of the same model positioned at a reference site; and a data processing platform communicating with both. The platform is configured to: during the resting period, establish an adaptive filtering model based on the signals from the main and reference units to predict environmental noise; during the monitoring period, use this model to cancel noise in the main signal in real time, obtaining purified joint biophysical signals; simultaneously analyze multimodal signals such as electromyography, strain, and simulated load, defining the key subphase as the intersection moment of at least two preset feature points, and capturing a phase-aligned snapshot of the event signal centered on this precise moment; this invention achieves highly interference-resistant and highly accurate dynamic quantitative assessment of knee joint function.

A system and method for detecting and predicting surgical wound infections is disclosed. The method includes receiving wound site data, ambient data, reference site data and auxiliary data from one or more wearable devices, one or more sensing units or a combination thereof, a patient history data from electronic health record database, patient assessment data from a clinical professional, information associated with a patient from the patient or any combination thereof. The method further includes determining one or more desired parameters and extracting one or more features from the one or more desired parameters. The method includes applying the extracted one or more features into a trained Artificial Intelligence (AI) based data model and a trained statistical model for the patient. Further, the method includes detecting presence of an infection, predicting likelihood of infection and generating a wound infection score.

This invention belongs to the field of bioinformatics technology and provides a method for identifying and analyzing HERV-K insertion polymorphism, including: sequencing sequence acquisition, reference genome setting, reference site coordinate set integration, sequence alignment, automated determination, Boolean logic alignment, and insertion type visualization confirmation. This invention sets up Host_Ref, LTR_Ref, and Pro_Ref reference genomes and aligns the sequencing sequences to these three reference genomes respectively. The insertion type at each site can be initially obtained through calculation alone, making it more efficient. By applying the soft-clipped sequence from the sequencing data alignment results to verify the insertion type, single-molecule-level visualization verification is achieved.

The application provides a data processing method, device and equipment, wherein the data processing method comprises the following steps: obtaining a first to-be-matched pinyin of a to-be-processed site name and a first target pinyin of first information in a first target site name corresponding to the to-be-processed site name; obtaining a first processing result of whether the to-be-processed site name belongs to fuzzy resource information according to the first to-be-matched pinyin and the first target pinyin; performing word segmentation on the to-be-processed site name to obtain at least one first segmentation result; obtaining a second processing result of whether the to-be-processed site name belongs to fuzzy resource information according to the at least one first segmentation result and a reference site name; and obtaining a final result of whether the to-be-processed site name belongs to fuzzy resource information according to the first processing result, a first weight coefficient, the second processing result and a second weight coefficient. The present scheme solves the problems of low efficiency and high labor cost of the data processing scheme for determining fuzzy resources in the prior art.

A system and method for detecting and predicting surgical wound infections is disclosed. The method includes receiving wound site data, ambient data, reference site data and auxiliary data from one or more wearable devices, one or more sensing units or a combination thereof, a patient history data from electronic health record database, patient assessment data from a clinical professional, information associated with a patient from the patient or any combination thereof. The method further includes determining one or more desired parameters and extracting one or more features from the one or more desired parameters. The method includes applying the extracted one or more features into a trained Artificial Intelligence (AI) based data model and a trained statistical model for the patient. Further, the method includes detecting presence of an infection, predicting likelihood of infection and generating a wound infection score.

Embodiments of the present application disclose an indoor site safety evaluation method and device, electronic equipment and storage medium. By obtaining multi-dimensional data of the indoor site to be evaluated and risk level interval division results of the same type reference site, combining the dynamic weight of the static safety dimension, the single-dimensional level result is determined in three risk scenarios, and finally the comprehensive safety level is obtained. The scheme gets rid of the dependence on the "win, draw and lose" three states, and even in the case of similar evaluation data, the differentiated judgment of the level result can be realized through scene subdivision, solving the problem that the level result does not change in the existing technology. At the same time, the setting of the dynamic weight can adapt to the change of the real-time environmental risk, so that the evaluation result is more in line with the actual safety situation, providing accurate basis for subsequent differentiated safety supervision, and improving the fine level of indoor site safety management.