Computer implemented methods and systems are provided that comprise, under control of one or more processors of a medical device, where the one or more processors are configured with specific executable instructions. The methods and systems obtain motion data indicative of at least one of a posture or a respiration cycle; obtain cardiac activity (CA) signals for a series of beats; identify whether a characteristic of interest (COI) from at least a first segment of the CA signals exceeds a COI limit; analyze the motion data to determine whether at least one of the posture or respiration cycle at least in part caused the COI to exceed the COI limit. Based on the analyzing operation, the methods and systems automatically adjust a CA sensing parameter utilized by the medical device to detect R-waves in subsequent CA signals; and detect an arrhythmia based on a presence or absence of one or more of the R-waves in at least a second segment of the CA signals.

The invention provides a system and method for determining a respiratory effort for a subject. The method comprises obtaining a relaxed signal representing a subject breathing in a relaxed manner and a forced signal representing a subject breathing in a forced manner. The relaxed signal is then smoothed over a first averaging window and the forced signal is smoothed over a second averaging window, wherein the first averaging window is longer than the second averaging window. Based on the smoothed relaxed signal and the smoothed forced signal, a respiratory effort can thus be determined.

The present invention relates to a system for real-time determination of a local strain of a lung during artificial ventilation. The system comprises a device for electrical impedance tomography (EIT), which device is configured to capture an electrical impedance distribution along at least one two-dimensional section through a human thorax, and further comprises a device for assigning the captured electrical impedance distribution, which device is configured to divide the captured electrical impedance distribution at different times during the artificial ventilation into a multiplicity of EIT pixels and to assign a specific value of the electrical impedance at a specific time to a specific EIT pixel.

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 invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g. a digital 3-axis accelerometer) that attaches to the patient's torso and measures an ACC signal indicating movement of the chest or abdomen that is also sensitive to respiratory rate. This second signal is processed with the adaptive filter to determine a final value for respiratory rate.

An electronic system for bioimpedance signal acquisition, comprises: a current signal injection module configured for generating a current signal to be applied to a subject; a bioimpedance signal measurement module configured for measuring a bioimpedance signal based on a voltage generated by the current signal; a data quality detection module configured for detecting an AC or a DC level of the measured bioimpedance signal and detecting whether the AC or DC level is within or outside an AC reference value range and a DC reference value range, respectively; and a signal adaptation module configured for modifying at least one parameter of the current signal injection module or the bioimpedance signal measurement module based on said detection of the AC or DC level in relation to the AC reference value range and the DC reference value range, respectively.

In accordance with some non-limiting examples of the disclosed subject matter, an ingestible system configured to acquire physiological information from an interior of a subject is provided, comprising a substrate and at least one physiological sensor. The at least one “physiological sensor can be coupled to the substrate and configured to capture physiological data from at least one of an internal area or an orientation in a digestive tract of the subject. The system can include a controller coupled to the substrate and configured to receive the physiological data and prepare the physiological data for one of transmission from the subject or analysis of the physiological data. The substrate, including the at least one physiological sensor and the controller coupled thereto can be configured to self-orient within the digestive tract of the subject, during ingestion of the system by the subject.

Methods and apparatus for detecting body vital signs through the use of a Bioelectric Impedance Spectroscopy (BIS), either by (a) direct contact with the person (such as through one or more of their fingers) or (b) measurement of reflections from a field projected into the person's body. The techniques may be implemented using the projected capacitive touch array in a device such as the screen of a smartphone or tablet computer, or the touchpad of a laptop computer.

Devices, systems and methods of neurostimulation for treating obstructive sleep apnea. The system is adapted to send an electrical signal from an implanted neurostimulator through a stimulation lead to a patient's nerve at an appropriate phase of the respiratory cycle based on input from a respiration sensing lead. External components are adapted for wireless communication with the neurostimulator. The neurostimulator is adapted to deliver therapeutic stimulation based on inputs.

Various aspects of the present disclosure are directed toward apparatuses, systems, and methods for supporting components of an implantable medical device. The apparatuses, systems, and methods may include a first electrode and a second electrode and a scaffold assembly configured to support the first electrode and the second electrode.