8 results about "Decompensation" patented technology

A method and system for detecting risk of heart failure decompensation of a patient receives both weight information of the patient and foot temperature information of the patient. Using that received information, the method / system determines whether a change in weight and foot temperature indicates a pattern indicative of heart failure decompensation. Next, the method produces output information indicating a result of that determination.

A method and system for detecting risk of heart failure decompensation of a patient receives both weight information of the patient and foot temperature information of the patient. Using that received information, the method / system determines whether a change in weight and foot temperature indicates a pattern indicative of heart failure decompensation. Next, the method produces output information indicating a result of that determination.

The present application relates to the technical field of medical artificial intelligence, and more particularly to a method for detecting critical multiple bone trauma based on AI. The method integrates physiological monitoring and image data of the patient, extracts the fracture site and constructs a whole-body bleeding risk distribution map, performs correlation analysis on hemoglobin changes to locate the bleeding source, and predicts the decompensation time window through the coagulation state trajectory. The above features are input into the decision model to simulate the physiological evolution path of different treatment schemes and calculate the risk, and finally output the treatment scheme with the lowest adverse probability and the decision time node. The present application realizes dynamic quantitative evaluation and optimized decision support of the detection results of the bleeding risk of critical multiple bone trauma.

Techniques for obtaining impedance data to provide an early warning for heart failure decompensation are described. An example device may be configured to measure subcutaneous impedance values, and increment an impedance score. In some examples, the device may use an adaptive threshold and fluid index in incrementing the impedance score. In some examples, the impedance score is compared to a threshold to determine a heart failure status of a patient. In some examples, may cause resets in fluid index values and / or determine positions or orientations of the device when determining the impedance score.

The application provides a rehabilitation nursing risk early warning system, a fatigue risk early warning method, equipment and a medium. The three-axis acceleration signals and the surface electromyography signals of a target muscle of a patient during rehabilitation nursing are synchronously collected. The surface electromyography signals are filtered according to the frequency spectrum characteristics of the three-axis acceleration signals to suppress artifacts generated by limb macro-movement, and a pre-processed electromyography signal is obtained. The median frequency sequence and the approximate entropy sequence of the amplitude envelope of the pre-processed electromyography signal are determined in a continuous sliding time window. A risk index of a muscle fatigue state is constructed according to the cooperative change relationship between the median frequency sequence and the approximate entropy sequence. The risk index is combined with a pre-set fatigue risk threshold to generate a fatigue risk early warning report of the patient during rehabilitation nursing. The scheme of the application can distinguish between normal physiological fatigue and abnormal neuromuscular decompensation.

Techniques are described for acquiring impedance data to provide early warning of decompensated heart failure. An example device can be configured to measure subcutaneous impedance values and increase an impedance score. In some examples, the device can use an adaptive threshold and a fluid index in increasing the impedance score. In some examples, the impedance score is compared to a threshold to determine a heart failure status of a patient.

The invention provides a risk early warning system for rehabilitation nursing, a fatigue risk early warning method, equipment and a medium. The method comprises the following steps: synchronously acquiring a three-axis acceleration signal and a surface electromyogram signal of a target muscle of a patient during rehabilitation nursing; carrying out filtering processing on the surface electromyographic signals according to frequency spectrum characteristics of the three-axis acceleration signals so as to suppress artifacts generated by macroscopic movement of limbs, and obtaining preprocessed electromyographic signals; determining a median frequency sequence of the preprocessed electromyographic signals and an approximate entropy sequence of amplitude envelope in a continuously sliding time window; constructing a risk index of the muscle fatigue state according to a collaborative change relation between the median frequency sequence and the approximate entropy sequence; and generating a fatigue risk early warning report of the patient during rehabilitation nursing by combining the risk index with a preset fatigue risk threshold. By adopting the scheme of the invention, a normal physiological fatigue process and an abnormal neuromuscular decompensation state can be discriminated.

Techniques for obtaining impedance data to provide an early warning for heart failure decompensation are described. An example device may be configured to measure subcutaneous impedance values, and increment an impedance score. In some examples, the device may use an adaptive threshold and fluid index in incrementing the impedance score. In some examples, the impedance score is compared to a threshold to determine a heart failure status of a patient. In some examples, may cause resets in fluid index values and / or determine positions or orientations of the device when determining the impedance score.