The invention provides a multi-sensor system for monitoring a patient's respiratory rate. The system features an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal and a 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. The signals are collectively processed, e.g. with the adaptive filter to determine a value for the respiratory rate.

Devices and or methods for monitoring respiratory functions of a subject. The system includes a first sensor for measuring the motion of at least on surface of a subject for abdominal, chest, or other area motion to determine volume changes in the area. The second sensor measures the thermal temperature of a target area or device on a surface of the patient, for example near the upper lip of the subject. Specific aspects of the patients breathing health may be analyzed from comparison of respiratory rates calculated from the two sensors. The systems and methods can detect regular breathing, slow breathing (hypopnea), fast breathing (tachypnea), no breathing (apnea), obstructed breathing, or other anomaly. The systems and method may further be configured to trigger an alarm in predetermined situations.

Provided is an information processing apparatus including: a behavior recognition mode setting unit that sets a behavior recognition mode on a basis of wearing position information of a setting target device, a behavior recognition unit that recognizes a user's behavior on a basis of the set behavior recognition mode and a detection value of a sensor corresponding to the setting target device, and a process control unit that controls execution of a process corresponding to the recognized user's behavior.

Provided is an information processing apparatus including: a behavior recognition mode setting unit that sets a behavior recognition mode on a basis of wearing position information of a setting target device, a behavior recognition unit that recognizes a user's behavior on a basis of the set behavior recognition mode and a detection value of a sensor corresponding to the setting target device, and a process control unit that controls execution of a process corresponding to the recognized user's behavior.

A method, apparatus, and system for measuring respiratory effort of a subject are provided. A thorax effort signal and an abdomen effort signal are obtained. The thorax effort signal and the abdomen effort signal are each divided into a volume-contributing component of the respiratory effort and a paradox component. The paradox component represents a non-volume-contributing component of the respiratory effort. The abdomen paradox component is negatively proportional to the thoracic paradox component. The thorax effort signal or the abdomen effort signal or both are weighted by a weight factor to obtain a volume-proportional signal. The volume-proportional signal is proportional to the actual respiratory volume of the respiratory effort. A calibration factor for calibrating the thorax effort signal and the abdomen effort signal is obtained by optimizing the weight factor by minimizing thoracic paradox component and the abdomen paradox component.

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. In some embodiments, the system can further include a support surface having one or more sensors incorporated therein either in addition to sensors affixed to the patient or as an alternative thereof. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capactive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose. Compensation for errors introduced because of chest angle or slope can be automatically performed.

Methods and apparatus provide physiological movement detection, such as gesture, breathing, cardiac and/or gross motion, such as with sound, radio frequency and/or infrared generation, by electronic devices such as vehicular processing devices. The electronic device in a vehicle may, for example, be any of an audio entertainment system, a vehicle navigation system, and a semi-autonomous or autonomous vehicle operations control system. One or more processors of the device, may detect physiological movement by controlling producing sensing signal(s) in a cabin of a vehicle housing the electronic device. The processor(s) control sensing, with a sensor, reflected signal(s) from the cabin. The processor(s) derive a physiological movement signal with the sensing signal and reflected signal and generate an output based on an evaluation of the derived physiological movement signal. The output may control operations or provide an input to any of the entertainment system, navigation system, and vehicle operations control system.

One or more radar sensors can be used to monitor patients in a variety of different environments and embodiments. In one embodiment, radar sensors can be used to monitor a patient's breathing, including monitoring of tidal volume, chest expansion distance, breathing rate, etc. In another embodiment, a patient position can be monitored in a patient bed, which can be used as feedback for control of bladders of a patient bed. Additional embodiments are described herein.

One or more radar sensors can be used to monitor patients in a variety of different environments and embodiments. In one embodiment, radar sensors can be used to monitor a patient's breathing, including monitoring of tidal volume, chest expansion distance, breathing rate, etc. In another embodiment, a patient position can be monitored in a patient bed, which can be used as feedback for control of bladders of a patient bed. Additional embodiments are described herein.

A medical image processing method performed by a computer, for measuring the spatial location of a point on the surface of a patient's body including: acquiring at least two two-dimensional image datasets, wherein each two-dimensional image dataset represents a two-dimensional image of at least a part of the surface which comprises the point, and wherein the two-dimensional images are taken from different and known viewing directions; determining the pixels in the two-dimensional image datasets which show the point on the surface of the body; and calculating the spatial location of the point from the locations of the determined pixels in the two-dimensional image datasets and the viewing directions of the two-dimensional images; wherein the two-dimensional images are thermographic images.