This invention relates to diagnostic medical instruments and procedures, and more particularly to implantable devices and methods for monitoring physiological parameters. A device for providing in vivo diagnostics of infections in orthopedic implants having at least one signal processing device operatively coupled with sensors. The signal processing device is operable to receive the output signal from the sensors and transmit a signal corresponding with the output signal. The invention also relates to a method using the device of the invention for detecting infection associated with implants in a human or animal subject.

Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.

Systems and devices are described which include a tissue cutting device including a central rotatable shaft having a first end and a second end; a motor operably coupled to the first end of the central rotatable shaft, the motor including circuitry configured to rotate the central rotatable shaft; a moveable component configured to move along at least a portion of the length of the central rotatable shaft; and an elongated flexible cutting component having a first end and a second end, the first end of the elongated flexible cutting component secured to the moveable component and the second end of the elongated flexible cutting component secured to the central rotatable shaft in proximity to the second end of the central rotatable shaft; wherein movement of the moveable component along the at least a portion of the length of the central rotatable shaft changes a shape formed by the elongated flexible cutting component.

A computing system may monitor a patient's biomarkers pre-surgery and/or in-surgery and predict an adhesion complication. The computing system may obtain measurement data associated with one or more patient biomarkers via one or more sensing systems, predict an adhesion complication based on the measurement data associated with the one or more patient biomarkers, and generate an output based on the predicted adhesion complication. The adhesion complication may be predicted by determining a probability of a chronic inflammation response based on the measurement data associated with the one or more patient biomarkers. The generated output may include a control signal configured to indicate an adjustment to an instrument selection for dissecting capability and/or access capability. The generated output may include a control signal configured to notify a surgeon of a probability of an adhesion complication.

A surgical computing system may receive usage data associated with movement of a surgical instrument and user inputs to the surgical instrument. The surgical computing system may receive motion and/or biomarker sensor data from sensing systems applied to the operator of the surgical instrument. The surgical computing system may determine, based on at least one of the usage data and/or the sensor data, a control feature for implementation by the surgical instrument. The surgical computing system may communicate the determined control feature(s) to the surgical instrument. The surgical instrument may modify its operation based on the control features.

Apparatus for medical screening includes a plurality of acoustic transducers, which are configured to sense acoustic waves emitted from a body of a subject and to output signals in response thereto. A frame is configured to position the acoustic transducers in proximity to a thorax of the subject, so that the acoustic transducers receive the acoustic waves emitted from different, respective locations on the thorax. Processing circuitry is configured to collect and process the signals so as to assess a respiratory condition of the subject and to issue an alarm upon detecting a pathological respiratory condition, such as a suspicion of COVID-19.

A system is provided to provide triage recommendations for animals. The system accesses a syndrome mapping of syndromes to complaints, each syndrome having a triage category. The system accesses a complaint mapping of complaints to symptoms. Each symptom for a complaint has a weight. The system receives indications of a current complaint and current symptoms of an animal. Each current symptom has a score. The system identifies the triage category based on a syndrome to which the current complaint and the current symptoms apply, factoring in the weights and the scores. The system provides a recommendation for the animal based on the identified triage category.

A micro-device for measuring impedance of animal tissue by simulating alternating current with low power direct current to provide a miniaturized device that carries out electrical impedance procedures.

A method and a system analyze an individual's physiological data to identify aberrant vital-signs patterns and estimate an infection probability. The identification includes determining a score based on the current vital-sign measurements, and the mean and standard deviation of baseline vital-signs values. In one embodiment, the mean and the standard deviation are selected based on the corresponding baseline time window and activity bin of the current vital-sign measurement. The score is identified as normal when between two thresholds and aberrant outside of those two thresholds. Estimation of infection probability p.sub.t, at monitoring time t, is a recursive estimate of the infection probability of infection p.sub.t:

[00001]$p_t=\frac{1}{1+{\left(\frac{p_h}{p_i}\right)}^n{\left(\frac{1-p_h}{1-p_i}\right)}^k\left(\frac{1}{p_{t-1}}-1\right)}$

where p.sub.h and p.sub.i, respectively, represent the probability of observing aberrant vital-signs in healthy and infected individuals, and n and k, respectively, represent the number of aberrant and normal scores in the monitoring time window. In one implementation, the vital-sign used is the individual's heart rate.

Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.