Disclosed are a tissue expander for breast reconstruction comprising an MMP sensor and thus being capable of real-time capsular contracture monitoring and treatment, and a patient information system linked thereto. According to these, a patient or medical staff can easily check and evaluate capsular contracture, which may occur when wearing a tissue expander for breast reconstruction, and whether inflammation, a side effect, or the like is caused thereby, even outside the human body in real time. Accordingly, before or when capsular contracture occurs, effective treatment and response are possible.

Orthopedic device or implants are provided, comprising an orthopedic device or implant and a sensor.

The disclosed system receives various physiological as well as physical information concerning a patient, and operational data from a ventilation device and medication delivery device, and provides the physiological and physical information, together with the operational data, to a neural network configured to analyze the information and data. The system receives, from the neural network, an assessment classification of the patient corresponding to at least one of a pain assessment, a sepsis assessment, and a delirium assessment of the patient based on providing to the neural network the determined physiological state of the patient, the determined physical state of the patient, the determined operational mode of the ventilator, the medication delivery information, and the received diagnostic information for the patient, and adjusts, based on the assessment classification, a ventilation parameter that influences the operational mode of a ventilator providing ventilation to the patient.

A condition classifying device includes: an input interface configured to receive first data corresponding to a blood refilling state after ischemia of a subject, and second data corresponding to a physiological parameter that exhibits changes caused by vasodilation of the subject; a processor configured to perform a classification of a condition of the subject related to sepsis based on the first data and the second data; and an output interface configured to output a result of the classification.

This invention is in the field of medical devices. Specifically, the present invention provides fluidic systems having a plurality of reaction sites surrounded by optical barriers to reduce the amount of optical cross-talk between signals detected from various reaction sites. The invention also provides a method of manufacturing fluidic systems and methods of using the systems.

Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes a vascular access device, a sensor and sensor electronics, the system being configured for insertion into communication with a host's circulatory system.

Systems and methods for supporting medical therapy decisions are disclosed that utilize predictive models and electronic medical records (EMR) data to provide predictions of health conditions over varying time horizons. Embodiments also determine a 0-100 health risk index value that represents the “risk” for a patient to acquire a health condition based on a combination of real-time and predicted EMR data. The systems and methods receive EMR data and use the predictive models to predict one or more data values from the EMR data as diagnostic criteria. In some embodiments, the health condition trying to be avoided is Sepsis and the health risk index is a Sepsis Risk Index (SRI). In some embodiments, the predictive models are neural network models such as time delay neural networks.

Tools and techniques for estimating a probability that a patient is bleeding or has sustained intravascular volume loss (e.g., due to hemodialysis or dehydration) and/or to estimate a patient’s current hemodynamic reserve index, track the patient’s hemodynamic reserve index over time, and/or predict a patient’s hemodynamic reserve index in the future. Tools and techniques for estimating and/or predicting a patient’s dehydration state. Tools and techniques for controlling a hemodialysis machine based on the patient’s estimated and/or predicted hemodynamic reserve index.

A medical system according to an aspect example includes a data acquiring unit and a data processor. The data acquiring unit is configured to acquire from a patient two or more types of data among blood oxygen saturation data, auscultatory sound data, ocular image data, and ocular blood flow data. The data processor is configured to process the two or more types of data acquired by the data acquiring unit to detect a conditional change in a circulatory system associated with an infectious disease.

Support structures for positioning sensors on a physiologic tunnel for measuring physical, chemical and biological parameters of the body and to produce an action according to the measured value of the parameters. The support structure includes a sensor fitted on the support structures using a special geometry for acquiring continuous and undisturbed data on the physiology of the body. Signals are transmitted to a remote station by wireless transmission such as by electromagnetic waves, radio waves, infrared, sound and the like or by being reported locally by audio or visual transmission. The physical and chemical parameters include brain function, metabolic function, hydrodynamic function, hydration status, levels of chemical compounds in the blood, and the like. The support structure includes patches, clips, eyeglasses, head mounted gear and the like, containing passive or active sensors positioned at the end of the tunnel with sensing systems positioned on and accessing a physiologic tunnel.