A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

Examples of the disclosure relate to an apparatus (101), a wearable electronic device and an optical arrangement for optical coherence tomography. The apparatus comprises an optical coherence tomography system (103) and an optical arrangement (105). The optical arrangement comprises at least one means for beam shaping (109) configured to shape a beam of light from the optical coherence tomography system. The optical arrangement also comprises at least one minor (111) positioned so that light from the means for beam shaping is incident on the at least one minor. The at least one mirror is configured to move in at least one direction relative to the optical coherence tomography system.

A non-invasive method and system is provided for determining an internal component of respiratory effort of a subject in a respiratory study. Both a thoracic signal (T) and an abdomen signal (A) are obtained, which are indicators of a thoracic component and an abdominal component of the respiratory effort, respectively. A first parameter of a respiratory model is determined from the obtained thoracic signal (T) and the abdomen signal (A). The first parameter is an estimated parameter of the respiratory model that is not directly measured during the study. The internal component of the respiratory effort is determined based at least on the determined first parameter of the respiratory model. The first model parameter is determined based on the thorax signal (T) and the obtained abdomen signal (A) without an invasive measurement.

A single-lower-limb rehabilitation exoskeleton apparatus and control methods includes a controller, an intact lower-limb component and a paretic lower-limb component connecting communicatively with the controller. The controller is used to determine the current state of the intact lower-limb through the intact lower-limb component and the current state of the paretic lower-limb through the paretic lower-limb component. When the intact lower-limb component is in the lifting state, the movement data of the intact lower-limb is collected and sent to the controller. The controller is used to determine the corresponding gait data for the paretic lower-limb component according to the movement data of the intact lower-limb and send the gait data to the paretic lower-limb component. The paretic lower-limb component is used to drive the paretic lower-limb to move or walk according to the gait data while the intact lower-limb is in the supporting state.

A system for carbon dioxide (CO2) removal from a circulatory system of a patient includes a medical device providing extracorporeal lung assist (ECLA) treatment to the patient through extracorporeal removal of CO2 from the patient's blood; at least one control unit controlling the operation of the medical device so as to control a degree of CO2 removal obtained by the ECLA treatment; and a bioelectric sensor detecting a bioelectric signal indicative of the patient's efforts to breathe. The at least one control unit is configured to control the operation of the medical device based on the detected bioelectric signal.

A leadwire for physiological patient monitoring is provided that transfers potentials received at a chest electrode to a data acquisition device. The leadwire includes an electrode end connectable to the chest electrode and a first conductive layer extending from the electrode end. The leadwire also has a device end connectable to a data acquisition device and a second conductive layer extending from the device end. The first conductive layer is galvanically isolated from the second conductive layer such that the first conductive layer and the second conductive layer form a capacitor.

The present disclosure is directed to a solid body for a biomedical device, wearable by a patient and configured to acquire one or more physiological parameters of the patient. The solid body includes a first rigid portion, a second rigid portion and a connection portion of flexible type which couples the first and the second rigid portions to each other; and a control circuitry accommodated inside the first and/or the second rigid portions. The connection portion is interposed between the first and the second rigid portions, is integral therewith and is deformable so as to allow a relative movement of the first and the second rigid portions. The first and the second rigid portions are physically couplable to a first and to a second ECG electrode to couple the solid body to the torso of the patient. When the rigid portions are coupled to the ECG electrodes, the control circuitry is electrically coupled to the ECG electrodes and is configured to acquire, through the ECG electrodes, respective electrical signals indicative of said one or more physiological parameters.

A method for continuous acoustic signature recognition and classification includes a step of obtaining an audio input signal from a resonant microphone array positioned proximate to a target, the audio input signal having a plurality of channels. The target produces characterizing audio signals depending on a state or condition of the target. A plurality of features is extracted from the audio input signal with a signal processor. The plurality of features is classified to determine the state of the target. An acoustic monitoring system implementing the method is also provided.

A medical monitoring system for use in residential facilities, nursing homes, or home environments is disclosed. The system utilizes a variety of modules and wearable medical devices that convey vital patient information to a series of smart hubs which are connected to the cloud. In the event a change in medical status of a patient occurs, the health care workers receive an Alert notifying them of which specific patient needs attention. The system is monitored using a specialized dashboard.

Systems and methods include differential diagnosis for acute heart failure to provide treatment to a patient including determining whether the patient has cardiac volume overload, determining whether the patient has decreased abdominal venous system volume, and providing the appropriate treatment in response to the determinations. A multi-sensor system may be used to determine cardiac volume and abdominal venous system volume. Fluid redistribution treatment may be provided when cardiac volume overload is accompanied by a decrease in abdominal venous system volume. Fluid accumulation treatment may be provided when cardiac volume overload is not accompanied by a decrease in abdominal venous system volume.