The subject matter is a patient supporting device for supporting a patient during a medical treatment, in particular a dialysis treatment, and a treatment apparatus with such a patient supporting device, and a corresponding method for controlling and/or regulating a medical treatment device, in particular a dialysis device, using such a patient supporting device.

An atraumatic detection/stimulation lead is disclosed. The lead includes at least one microcable having a core cable comprising a plurality of elementary metal strands. One of the microcables has provided at its distal end an atraumatic protection device. The atraumatic protection device includes a protective coating on the distal ends of the elementary strands of the microcable, and the protective coating is covered by a protective cap of deformable material. The protective cap may be a conical distal end adapted to deform and axially flatten out. The microcable may have an overall diameter less than or equal to 1.5 French (0.50 mm).

The present invention relates to a treatment apparatus using high frequency waves, and to a method for controlling same. The treatment apparatus using high frequency waves comprises: a high frequency wave generating unit; a plurality of needles for providing, into the skin of a user, high frequency energy transferred from the high frequency wave generating unit; and a driving unit for inserting the plurality of needles into the skin of the user, wherein the apparatus further comprises a control unit for controlling the driving unit such that the plurality of needles are inserted into a first target point within the skin and then move to a second target point.

A method for determining the location of a medical device within a body is provided. The method includes transmitting from the medical device an acoustic signal; receiving with the medical device a reflected acoustic signal; advancing the medical device based on a first algorithm, the first algorithm including a first weighting factor and a first feature extracted from the reflected acoustic signal; determining a first location of the medical device based on the first algorithm; and moving the medical device to a second location based on a second algorithm, the second algorithm based on the determined first location and including at least one of a second weighting factor and a second feature extracted from the reflected acoustic signal. Also disclosed are systems and devices for performing the methods described herein.

A system including a sensor interface coupled to a processor. The sensor interface is configured to receive and process an analog electrocardiogram signal of a subject and provide a digitized electrocardiogram signal sampled over a first time period and a second time period that is subsequent to the first time period. The processor is configured to receive the digitized electrocardiogram signal, to analyze a frequency domain transform of the digitized electrocardiogram signal sampled over the first and second time periods and determine first and second metrics indicative of metabolic state of a myocardium of the subject during the first and second time periods, respectively, to compare the first and second metrics to determine whether the metabolic state of the myocardium of the subject is improving, and to indicate administration of an intervention to the subject in response to a determination that the metabolic state is not improving.

A medical imaging decision support system is provided that can conduct, and help medical professionals conduct multi-factor brain analysis. Data for disparate processing modes (for example, EEG, MRI, etc.) can be input to the system, processed in parallel in a cloud environment, and the results can be rendered in a thin client (for example, browser) for a user's rapid multi-modal evaluation of a brain.

Electrodes are used to measure an electrical signal (e.g., an electrogram). One or more filters are applied to the electrical signal to generate one or more filtered signals. Features of the filtered signals are evaluated to assess a sharpness corresponding to the electrical signal. Based on the sharpness, various characteristics of a morphology of the electrogram may be evaluated over a time period.

A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

The invention concerns a method of analysing the brain activity of a patient performing a given task or in response to an external stimulus, by comparison of standardized data with data in a database, by means of fuzzy logic algorithms.

The device for non-invasive monitoring of intracranial pressure (1) includes a measuring mat (2), processor unit (3), device for recording electrical activity of the heart (4), device for invasive measurement of arterial blood pressure (5), imaging device 6 and network connector (7). The measuring mat includes the processor unit (3) and sensors, at least one sensor (8) monitoring mechanical movement caused by the bloodstream dynamics. The ICP calculation methods use the Windkessel model and the relation between the start of the R-wave and the time delay of the mechanical movement of the head, which is related to the reflection of the pulse wave in the head.