A surgical instrument navigation system is provided that visually simulates a virtual volumetric scene of a body cavity of a patient from a point of view of a surgical instrument residing in the cavity of the patient. The surgical instrument navigation system includes: a surgical instrument; an imaging device which is operable to capture scan data representative of an internal region of interest within a given patient; a tracking subsystem that employs electro-magnetic sensing to capture in real-time position data indicative of the position of the surgical instrument; a data processor which is operable to render a volumetric, perspective image of the internal region of interest from a point of view of the surgical instrument; and a display which is operable to display the volumetric perspective image of the patient.

Devices and systems provide methods for detecting respiratory related effort from movements associated with the head or face. In one embodiment, a strain signal is measured by one or more sensors. A processor may analyze the head strain signal to detect respiratory related effort. Detection of effort may serve as a basis for identifying sleep disordered breathing events. For example, the analysis may serve as part of a detector to identify central or obstructive apneas or central or obstructive hypopneas. Sensors may be integrated with headgear to support them at desired locations of the face or head. Strain from head movement may be detected by measuring, for example, tension of the headgear or force applied against the headgear. The headgear may serve as an independent support for the sensors or as a component of a respiratory treatment apparatus, such as a mask or cannula.

Devices and systems provide methods for detecting respiratory related effort from movements associated with the head or face. In one embodiment, a strain signal is measured by one or more sensors. A processor may analyze the head strain signal to detect respiratory related effort. Detection of effort may serve as a basis for identifying sleep disordered breathing events. For example, the analysis may serve as part of a detector to identify central or obstructive apneas or central or obstructive hypopneas. Sensors may be integrated with headgear to support them at desired locations of the face or head. Strain from head movement may be detected by measuring, for example, tension of the headgear or force applied against the headgear. The headgear may serve as an independent support for the sensors or as a component of a respiratory treatment apparatus, such as a mask or cannula.

Autoregressive modelling is used to identify periodic physiological signals such as heart rate or breathing rate in an image of a subject. The color channels of a video signal are windowed and normalised by dividing each signal by its mean. The ratios of the normalised channels to each other are found and principal component analyses conducted on the ratio signals. The most periodic of the principal components is selected and autoregressive models of one or more different orders are fitted to the selected component. Poles of the fitted autoregressive models of different orders are taken and pure sinusoids corresponding to the frequency of each pole are generated and their cross-correlation with the original component is found. Whichever pole corresponds to the sinusoid with the maximum cross-correlation is selected as the best estimate of the frequency of periodic physiological information in the original video signal. The method may be used in a patient monitor or in a webcam-enabled device such as a tablet computer or smart phone.

A fitness system for enhancing the effectiveness and efficiency of physical training and/or exercise by a user comprises uses (1) a plurality of sensors that are worn by an exercising user and which generate data concerning monitored body processes pertaining to the exercise's effects on the user's body, (2) a processor operates under software control for processing, storing, and analyzing the data, and sending the processed data to a host device using a wireless communication protocol to communicate desired adjustments to the exercise in real time. The host device can be a smartphone, tablet computer or other web accessible device that can display and communicate bilaterally with the processor.

A method for transcostal ultrasound treatment of tissues includes determining rib locations, e.g., based on ultrasound reflections off the ribs or acoustic radiation force signals, and transcostally focusing ultrasound into the tissue while minimizing damage to the ribs.

A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.

A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.

A system for light based interrogation of a lung includes a memory, an electromagnetic (EM) board, an extended working channel (EWC), an EM sensor, a light source, a light receptor and a processor. The memory stores a 3D model and a pathway plan of a luminal network and the EM board generates an EM field. The EWC navigates a luminal network of a patient toward a target in accordance with the pathway plan and the EM sensor extends distally from a distal end of the EWC and is configured to sense the EM field. The light source is located at or around the EWC and emits light, and the light receptor is located at or around the EWC and is configured to sense reflected light from airway of the luminal network. The processor converts the reflected light into light based data and identifies a type or density of tissue.

A system for light based interrogation of a lung includes a memory, an electromagnetic (EM) board, an extended working channel (EWC), an EM sensor, a light source, a light receptor and a processor. The memory stores a 3D model and a pathway plan of a luminal network and the EM board generates an EM field. The EWC navigates a luminal network of a patient toward a target in accordance with the pathway plan and the EM sensor extends distally from a distal end of the EWC and is configured to sense the EM field. The light source is located at or around the EWC and emits light, and the light receptor is located at or around the EWC and is configured to sense reflected light from airway of the luminal network. The processor converts the reflected light into light based data and identifies a type or density of tissue.