A ventilator system for a patient includes: an intubation tube configured to flow oxygen-enriched humidified air (OHA) toward patient lungs and to evacuate exhaust air exhaled from the lungs, the intubation tube includes: a distal end, configured to be inserted into patient trachea, and a proximal end, configured to be connected to tubes for receiving the OHA and evacuating the exhaust air; a first microgravity sensor, coupled to the intubation tube at a first position, and configured to produce a first signal indicative of a first micro-acceleration of the intubation tube at the first position; a second microgravity sensor, coupled to the intubation tube at a second different position, and configured to produce a second signal indicative of a second micro-acceleration of the intubation tube at the second position; and a processor, configured to control the ventilation system to apply a ventilation scheme responsively to the first and second signals.

A method of registering a real-time image feed from an imaging device inserted into a steerable catheter using a navigation system is provided. The method includes inserting the imaging device into a working channel of the steerable catheter and generating a real-time image feed of one or more reference points, wherein the orientation of the reference points is known. The method further includes orienting a handle of the steerable catheter to a neutral position, displaying the real-time image feed on a display of the navigation system, and registering the real-time image feed to the steerable catheter by rotating the displayed image so that the reference points in the real-time image feed are matched to the known orientation of the reference points.

A vital-sign radar sensor uses wireless internet signals to detect vital signs. It includes a first and second demodulation unit to demodulate an incident and reflected wireless internet signal with an injection-locked oscillator into a first and second demodulated signal, respectively. The combined use of the first and second demodulated signals can eliminate the influence of communication modulation on the extraction process of a Doppler shift due to vital signs. Moreover, the vital-sign radar sensor is a receive-only device so that it won't cause interference to ambient wireless communication networks.

A signal processing system includes an expiratory information acquisition unit and a nerve recognition uni. The expiratory information acquisition unit acquires expiratory information as a piece of biometric information about a person's expiratory volume. The nerve recognition unit recognizes, based on a dispersion in the expiratory information, a condition of the person's autonomic nervous system.

Systems and methods for assessing a cardiac arrhythmia risk of a patient, such as a risk for developing atrial fibrillation, are disclosed. An exemplary medical-device system includes a risk stratifier circuit configured to, in an absence of prior and present atrial arrhythmia, determine a composite risk of the patient developing a future atrial arrhythmia using a trained machine-learning model and a plurality of features of physiological information sensed from the patient and an arrhythmia monitor circuit configured to adjust an arrhythmia monitoring parameter based at least in part on the composite risk and to detect an atrial arrhythmia event using the adjusted arrhythmia monitoring parameter.

The present invention relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient and assigning one or more visual indicators to at least a portion of a graphic based on the calculated changes in depth and/or based on a tidal volume signal generated for the patient. In some embodiments, the systems, methods, and/or computer readable media can display the visual indicators overlaid onto at least the portion in real-time and/or can display the tidal volume signal in real-time. The systems, methods, and/or computer readable media can trigger an alert and/or an alarm when a breathing abnormality is detected.

Methods, systems, and devices are provided for determining a respiratory flow, ventilation, and/or endotypes from Respiratory Inductance Plethysmography (RIP) signals. The method includes receiving data of a thoracic signal of a first RIP belt arranged proximate with a thorax of a subject, receiving data of an abdomen signal of a second RIP belt, and determining a respiratory flow of the subject based on the data of the thoracic signal and the data of the abdomen signal. Determining the respiratory flow includes two or more calibrations, including performing a first calibration by applying a first calibration coefficient that relates an amplitude of a differential change in the thoracic signal to an amplitude of a differential change in the abdomen signal to obtain a determined respiratory flow, and performing a second calibration on the determined respiratory flow that corrects for a non-linearity in the determined respiratory flow.

This invention includes improved IP sensors that both have improved sensitivity, performance, and other properties and are multifunctional. The improved IP sensors have IP sensor conductors with waveforms having legs that are substantially parallel throughout the operating range of stretch. The multifunctional IP sensors include, in addition to IP sensors, accessory conductors, additional sensors, and other compatible modules. This inventions also includes embodiments of apparel incorporating the improved IP sensors. This apparel can range from band-like to shirt-like, and so forth, and include one or more IP sensors sensitive to expansions and contractions of underlying regions of a monitored subject.

A wearable medical device is provided. The wearable medical device includes a garment that includes a sensing electrode, at least one of an inductive element and a capacitive element included in at least part of the garment, and a controller. The controller may be configured to determine a confidence level of information received from the sensing electrode based on at least one of an inductance of the inductive element and a capacitance of the capacitive element.

The present disclosure pertains to a system (10) configured to determine spectral boundaries (216, 218) for sleep stage classification in a subject (12). The spectral boundaries may be customized and used for sleep stage classification in an individual subject. Spectral boundaries determined by the system that are customized for the subject may facilitate sleep stage classification with higher accuracy relative to classifications made based on static, fixed spectral boundaries that are not unique to the subject. In some implementations, the system comprises one or more of a sensor (16), a processor (20), electronic storage (22), a user interface (24), and/or other components.