Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patient is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding of the patient or implementing assessment, prediction, or estimation of a probability of bleeding of the patient following injury, in some instances, in real-time before, during, and after fluid resuscitation. According to some embodiments, one or more sensors might monitor physiological data of the patient before, during, and after resuscitation following injury. A computer system might receive and analyze the physiological data, and might estimate a probability that the patient is bleeding, based at least in part on the analyzed physiological data. An indication of at least one of an assessment, prediction, or estimate of a probability that the patient is bleeding may then be displayed on a display device.

A system and method for communicating data and signals through the Medical Implant Communication Service Band using a repeater or base station in the proximity to an implantable device within a patient is disclosed. In a preferred embodiment, the device is capable for early detection and monitoring of congestive heart failure in a patient. Impedance measurements, or other health parameters depending on the type of implantable device or sensor used, are sent using a bi-directional low-power radio operating in the MICS band to a nearby base station which may provide signal processing and analysis. The base station may have an interface to one or more communications networks to connect to a remote location. The system and method of the present invention permits a healthcare professional to monitor an ambulatory patient's condition at a remote location and to program the implanted device.

Systems and methods for detecting a worsening of patient's heart failure condition based, at least in part, on an increasing trend in a representative rapid shallow breathing index (RSBI) value over multiple days. The RSBI value may be a minimum RSBI, and more particularly may be a minimum RSBI value determined for an afternoon portion of each of the multiple days. The minimum RSBI value measured during an afternoon portion of the day may be more sensitive to changes in a patient's respiration, particularly when a patient is expected to be more active, and thus, may more readily exhibit an increasing trend when patient's heart failure is in decline.

Diagnostic apparatus (24) includes a sealed case (40), including a biocompatible material and configured for implantation within a body of a human subject (22). At least one antenna (42) is configured to be implanted in the body in proximity to a target tissue (28) and to receive radio frequency (RF) electromagnetic waves propagated through the target tissue and to output a signal in response to the received waves. Processing circuitry (44,46), which is contained within the case, us coupled to receive and process the signal from the antenna so as to derive and output an indication of a characteristic of the target tissue.

A physiologic sensor module includes at least one wearable sensor that is configured for wearing on a human body part and for measuring at least one biological signal. The module further includes at least one controller communicatively coupled to the wearable sensor and configured to receive the biological signal from the wearable sensor. The controller is further configured to process the biological signal in real-time, extract one or more clinical features from the biological signal, and based on the clinical features, determine detection of anaphylaxis.

The present invention relates to an integrated sleep diagnosis and treatment device, and more particularly to an integrated apnea diagnosis and treatment device. The present invention additionally relates to methods of sleep diagnosis and treatment. The sleep disorder treatment system of the present invention can use a diagnosis device to perform various forms of analysis to determine or diagnose a subject's sleeping disorder or symptoms of a subject's sleep disorder, and using this analysis or diagnosis can with or in some embodiments without human intervention treat the subject either physically or chemically to improve the sleeping disorder or the symptoms of the sleeping disorder. The diagnostic part of the system can use many different types of sensors and methods for diagnosing the severity of the symptoms of or the sleep disorder itself. The treatment part of the system can use a device to physically or chemically treat the subject's symptoms or sleep disorder itself.

Systems and methods of monitoring medical therapies performed by wearable devices using electrical probes. In one example, a pulmonary physiotherapy device implements a treatment protocol function gated and modulated using electrical impedance sensors and metrics. The sensors operate to measure electrical impedance of bodily tissue. An electronic controller controls operation of the wearable device. The medical therapy can be modified based on the impedance measurements to maximize efficacy.

In a method to control a medical apparatus of an installation having: a contact device for a patient, at least one electrical potential sensor that can be coupled to the body of said patient is integrated into the contact device. A signal evaluation device is provided with measurement signals generated with the electrical potential sensor for evaluation. The medical apparatus is connected with the signal evaluation device, and measurement signals that relate to the breathing and/or cardiac activity of the patient are acquired with the at least one electrical potential sensor coupled to the body of said patient upon contact of the patient with the contact device. Trigger signals are generated with the signal evaluation device based on the measurement signals that relate to the breathing cycle and/or the cardiac cycle of the patient. Operation of the medical apparatus is controlled based on the trigger signals.

A system for stimulating body tissue may include a stimulation lead, sensors, and a control unit. The stimulation lead may include one or more energy sources. The control unit may include a processor and non-transitory computer readable medium, and an interface (e.g., touch screen interface) for receiving user inputs and communicating information to the user. The sensors may be configured to provide impedance measurements to the control unit. The control unit may calculate lung gas distributions and/or generate an image modeling lung gas distributions. Stimulation delivered by the stimulation may be adjusted based on the impedance measurements.

This detection device is a device for detecting the movement of a human body. The detection device has: a substrate having flexibility; an electric element provided on the substrate and having an electrical characteristic that changes with the movement of the human body; and a semiconductor element that is provided on the substrate, detects a change in the electrical characteristic of the electric element, and outputs a detection value corresponding to the detected result. The substrate is a flexible substrate or a fabric member including conductive fibers, for example.