Systems and methods are disclosed to determine a measure of patient weight using existing medical device sensors, comprising receiving acceleration information of a patient and, if a value of the acceleration information exceeds an activity threshold over a measurement window, detecting patient steps in the measurement window using the acceleration information, determining a patient step rate over the measurement window using the detected patient steps, determining a measure of patient step force for the measurement window, and determining a measure of patient weight using the determined patient step rate and measure of patient step force.

Augmenting real-time views of a patient with three-dimensional (3D) data. In one embodiment, a method may include identifying 3D data for a patient with the 3D data including an outer layer and multiple inner layers, determining virtual morphometric measurements of the outer layer from the 3D data, registering a real-time position of the outer layer of the patient in a 3D space, determining real-time morphometric measurements of the outer layer of the patient, automatically registering the position of the outer layer from the 3D data to align with the registered real-time position of the outer layer of the patient in the 3D space using the virtual morphometric measurements and using the real-time morphometric measurements, and displaying, in an augmented reality (AR) headset, one of the inner layers from the 3D data projected onto real-time views of the outer layer of the patient.

Augmenting real-time views of a patient with three-dimensional (3D) data. In one embodiment, a method may include identifying 3D data for a patient with the 3D data including an outer layer and multiple inner layers, determining virtual morphometric measurements of the outer layer from the 3D data, registering a real-time position of the outer layer of the patient in a 3D space, determining real-time morphometric measurements of the outer layer of the patient, automatically registering the position of the outer layer from the 3D data to align with the registered real-time position of the outer layer of the patient in the 3D space using the virtual morphometric measurements and using the real-time morphometric measurements, and displaying, in an augmented reality (AR) headset, one of the inner layers from the 3D data projected onto real-time views of the outer layer of the patient.

A mattress supports a left-side user and a right-side user. At least one acoustic sensor is configured to sense acoustic energy in the environment of the left-side user and of the right-side user. At least one pressure sensor is configured to sense pressure applied to the left-side portion by the left-side user and applied to the right-side portion by the right-side user. A controller is configured to receive at least one acoustic stream from the at least one acoustic sensor and at least one pressure stream from the at least one pressure sensor. Left-side snore/breath parameters and right-side snore/breath parameters are generated. The controller is further configured to, responsive to determining that a home automation rule includes a condition that includes at least one of the left-side snore/breath parameters and the right-side snore/breath parameters send an instruction to drive a controllable device to the controllable device.

A mattress supports a left-side user and a right-side user. At least one acoustic sensor is configured to sense acoustic energy in the environment of the left-side user and of the right-side user. At least one pressure sensor is configured to sense pressure applied to the left-side portion by the left-side user and applied to the right-side portion by the right-side user. A controller is configured to receive at least one acoustic stream from the at least one acoustic sensor and at least one pressure stream from the at least one pressure sensor. Left-side snore/breath parameters and right-side snore/breath parameters are generated. The controller is further configured to, responsive to determining that a home automation rule includes a condition that includes at least one of the left-side snore/breath parameters and the right-side snore/breath parameters send an instruction to drive a controllable device to the controllable device.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

A physiological monitor is provided for determining a physiological parameter of a medical patient with a multi-stage sensor assembly. The monitor includes a signal processor configured to receive a signal indicative of a physiological parameter of a medical patient from a multi-stage sensor assembly. The multi-stage sensor assembly is configured to be attached to the physiological monitor and the medical patient. The monitor of certain embodiments also includes an information element query module configured to obtain calibration information from an information element provided in a plurality of stages of the multi-stage sensor assembly. In some embodiments, the signal processor is configured to determine the physiological parameter of the medical patient based upon said signal and said calibration information.

This document describes a system for determining positioning of an intubation tube in a patient. The system can include a first acoustic sensor configured to be disposed to listen to one of a lung and a stomach of the patient and to provide a first signal. The system includes a signal processing unit, coupled to the first acoustic sensor, configured to analyze spectral components of the first signal and determine whether a frequency of the spectral components of the first signal are characteristic of sounds induced by ventilation via the intubation tube of airflow to the lung or the stomach of the patient.

A method is provided that includes receiving an accelerometer signal from an accelerometer in a headphone configured to be mounted in a user's ear canal and filtering the accelerometer signal to extract a cardiac signal. The method further includes detecting a plurality of peaks in the cardiac signal and determining a cardiac rate of the user based on the detected plurality of peaks.