A respiration monitoring system has deformation transducers on a flexible substrate arranged to adhere to a patient's torso. A processor receives signals in channels from the transducers and processes them to eliminate, reduce or compensate for noise arising from patient motion artefacts, to provide an output representative of respiration. The transducers have a size and a mutual location on the substrate so that a first transducer can overlie at least part of the 10th rib and a second transducer can overlie at least part of the 11th rib or the abdomen, and the processor processes data from the first transducer as being primarily representative of rib distending respiration and from the second transducer as being primarily representative of either diaphragm respiration or patient motion artefacts.

A respiration monitoring system has deformation transducers on a flexible substrate arranged to adhere to a patient's torso. A processor receives signals in channels from the transducers and processes them to eliminate, reduce or compensate for noise arising from patient motion artefacts, to provide an output representative of respiration. The transducers have a size and a mutual location on the substrate so that a first transducer can overlie at least part of the 10th rib and a second transducer can overlie at least part of the 11th rib or the abdomen, and the processor processes data from the first transducer as being primarily representative of rib distending respiration and from the second transducer as being primarily representative of either diaphragm respiration or patient motion artefacts.

The present invention relates generally and specifically to computerized devices capable of diagnosis tailoring for an individual, and capable of controlling effectors to deliver therapy or enhance performance also tailored to an individual. The invention integrates sensors which sense signals from measurable body systems together with external machines, to form adaptive digital networks over time of general health and health of specific body functions. The invention has applications in sleep and wakefulness, sleep-disordered breathing, other breathing disturbances, memory and cognition, monitoring and response to obesity or heart failure, monitoring and response to other conditions, and general enhancement of performance.

Detecting and identifying a predetermined health event can include detecting a potential occurrence of the predetermined health event for a user by processing in real-time motion signals corresponding to motion of the user. A likelihood that the potential occurrence is an actual occurrence of the predetermined health event can be determined based on template matching of the motion signals. In response to determining that the likelihood exceeds a predetermined threshold, audio signals coinciding in time with the motion of the user can be processed using one or more layers of a multilayered audio event classifier.

A device for monitoring a patient determines a set of predicted physiological variables using a model trained from physiological variables collected from the patient. The device receives a set of measured physiological variables and a motion measurement. The device compares the set of measured physiological variables to the set of predicted physiological variables to determine a residual vector. The device classifies the residual vector using a vector motion error based on the motion measurement, and performs an action based on the classification of the residual vector.

Systems, devices, and methods are provided to facilitate the implementation of a “proning protocol” to improve a clinical outcome for a person having SARS-CoV-2 (COVID-19) or other condition that may benefit from spending time in the prone position. For example, a system may include a mobile device (e.g., smartphone, tablet, etc.) providing a proning application configured to manage a configuration and implementation of a proning protocol for a person and configured to receive sensor data from (a) a wearable sensor device secured to the person and including sensor(s) (e.g., accelerometer(s)) that monitor the person body position, and/or (b) other sensor(s) that monitor other physiological parameters relative to the proning protocol. The proning application may determine and output feedback to manage the person's position based at least on the received sensor data and defined parameters of the proning protocol.

An information processing apparatus includes a calculation unit configured to calculate distance spectra based on a beat signal being a difference between a transmitted wave, which is a radio wave that is transmitted by a sensor and that is swept in frequency, and a reflected wave of the transmitted wave, the reflected wave being received by the sensor, and configured to calculate one or more time-sequenced waveforms each indicating time changes in intensity of the distance spectra with respect to respective distances from the sensor, and a detection unit configured to detect respiration of a living organism based on the one or more time-sequenced waveforms.

A biological information monitoring system (100) configured to monitor biological information of a subject (S) on a bed (BD) includes at least one load detector (11, 12, 13, 14) provided below the bed or legs of the bed and configured to detect a load of the subject on the bed, a waveform calculation unit (31) configured to calculate a waveform indicating a temporal variation in a detected value of the at least one load detector in accordance with respiration or a heartbeat of the subject, and a biological information calculation unit (32) configured to calculate a respiration rate or a heart rate of the subject by using the waveform. The biological information calculation unit includes a first calculation unit (321) configured to calculate the respiration rate or the heart rate of the subject by a first means based on the waveform, a second calculation unit (322) configured to calculate the respiration rate or the heart rate of the subject by a second means that differs from the first means and includes normalizing the waveform, and a calculation control unit (320) configured to cause the second calculation unit to calculate the respiration rate or the heart rate when an amplitude of the waveform is a threshold value or less.

A biological information monitoring system (100) configured to monitor biological information of a subject (S) on a bed (BD) includes at least one load detector (11, 12, 13, 14) provided below the bed or legs of the bed and configured to detect a load of the subject on the bed, a waveform calculation unit (31) configured to calculate a waveform indicating a temporal variation in a detected value of the at least one load detector in accordance with respiration or a heartbeat of the subject, and a biological information calculation unit (32) configured to calculate a respiration rate or a heart rate of the subject by using the waveform. The biological information calculation unit includes a first calculation unit (321) configured to calculate the respiration rate or the heart rate of the subject by a first means based on the waveform, a second calculation unit (322) configured to calculate the respiration rate or the heart rate of the subject by a second means that differs from the first means and includes normalizing the waveform, and a calculation control unit (320) configured to cause the second calculation unit to calculate the respiration rate or the heart rate when an amplitude of the waveform is a threshold value or less.

Systems and methods for triggering inspiration and/or cycling exhalation with a ventilator are described herein. In particular, systems and methods for synchronizing ventilator breath delivery with patient breath demand utilizing a digital sample counting trigger mode are described herein. The digital sample counting triggering mode characterizes digital samples taken from a measured or estimated parameter during the patient inhalation/exhalation period to synchronize breath delivery with patient breath demand.