The present inventions, in one aspect, are directed to bioimpedance sensing devices, systems, and methods, including, for example, utilizing a wearable sensing garment and/or accessory, that sense, acquire, detect and/or measure bioimpedance data to, in one embodiment, calculate, assess, determine and/or monitor data associated with, corresponding to and/or representative of a biological properties (e.g., fluid state or state of hydration) in an animal body (e.g., a human). The wearable sensing garment and/or accessory, having bioimpedance sensors thereon or therein, may be, for example, made of any material now known or later developed and preferably fits tight/snug (selectively or entirely) to the body of the animal so that the bioimpedance sensors make suitable contact to the body to facilitate acquisition of bioimpedance data (e.g., intermittent, periodic, continuous and/or substantially continuous data acquisition). The garment and/or accessory may be a bodysuit, shirt, gloves, pants, sleeves, footwear, belt, band and/or collar.

A system for controlling reperfusion in a blood vessel of a patient including a flexible elongated member configured and dimensioned for insertion in the vessel of the patient, the elongated member having a proximal portion and a distal portion, the elongated member configured for insertion so the distal portion extends distal of a clot in the blood vessel. A sensor is positioned at the distal portion of the elongated member for positioning distal of the blood clot, the sensor measuring a parameter of blood downstream of the clot. An indicator communicates with the sensor, the indicator indicating a measured parameter for insertion of an instrument for controlling blood flow.

An addition of auxiliary functions to the multimedia equipment not included inside. These functions can be function of physiological data processing, extended and/or uninterrupted operations with regard to monitored and processed data. Auxiliary functions are implemented by the auxiliary equipment and circuits solutions physically placed in the original equipment or out of it but mechanically and electrically connected by it, whereas can it formed one compact unit. The parts, which are necessary to be during operation changed to get uninterrupted functions, are user friendly and simply exchangeable from the aspects of users.

A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk stratification is accomplished (and may have a sensitivity and specificity of greater than about 90%) by determining the presence in any individual being tested for SCD risk of sequences identified herein to correlate quantitatively with SCD risk. Both the number of such sequences present and their alignment scores (similarity) with the SCD risk sequence ensemble are used to calculate quantitative SCD risk.

The present invention provides a sensor garment including a harness. In one exemplary embodiment, the sensor garment includes a textile portion, a device-retention element coupled to the textile portion, and a stretchable harness coupled to the textile portion. The harness includes a conductive element disposed between layers of film. The conductive element includes a first termination point at the device retention element, configured to connect to a monitor device. The conductive element includes a second termination point configured to connect to a sensor or transceiver.

High-density mapping catheters with an array of mapping electrodes are disclosed. These catheters can be used for diagnosing and treating cardiac arrhythmias, for example. The catheters are adapted to contact tissue and comprise a flexible framework including the electrode array. The array of electrodes may be formed from a plurality of columns of longitudinally-aligned and rows of laterally-aligned electrodes.

A cable guide is configured to be detachably attached to a detection device having a cable lead-out portion from which a cable extends in a predetermined direction. The cable guide includes a guide portion configured to change a lead-out direction of the cable with respect to the cable lead-out portion, and an attachment portion configured to attach the guide portion to the detection device.

A metallic diaphragm disk incorporating a piezoelectric material bonded thereto and operatively coupled to a base rim of a housing provides for closing an open-ended cavity at the first end of the housing. In one aspect, plastic film adhesively bonded to at least one of an outer rim of the housing or an outer-facing surface of the disk provides for receiving an adhesive acoustic interface material to provide for coupling the housing to the skin of a test subject. In another aspect, an outer-facing surface of a base portion of the housing provides for receiving an adhesive acoustic interface material to provide for coupling the housing to the skin of a test subject, at least one inertial mass is operatively coupled to a central portion of the metallic diaphragm disk, and the opening in the first end of the housing is closed with a cover.

A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk stratification is accomplished (and may have a sensitivity and specificity of greater than about 90%) by determining the presence in any individual being tested for SCD risk of sequences identified herein to correlate quantitatively with SCD risk. Both the number of such sequences present and their alignment scores (similarity) with the SCD risk sequence ensemble are used to calculate quantitative SCD risk.

A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk stratification is accomplished (and may have a sensitivity and specificity of greater than about 90%) by determining the presence in any individual being tested for SCD risk of sequences identified herein to correlate quantitatively with SCD risk. Both the number of such sequences present and their alignment scores (similarity) with the SCD risk sequence ensemble are used to calculate quantitative SCD risk.