A method includes receiving, from a probe that includes electrodes and is positioned inside a cavity in an organ of a patient, (i) proximity signals indicative of proximity of the electrodes to a wall of the cavity, and (ii) position signals indicative of positions of the electrodes within the cavity. Based on the proximity signals and the position signals, at least a portion of a volume of the cavity is represented by a sphere model including multiple spheres. A direction is identified along which one or more spheres are larger than one or more surrounding spheres by at least a given factor. Based on the indicated direction, a location of an opening in the wall of the cavity is estimated and presented to a user.

The present invention provides compositions and methods for imaging, for example, tumor resections.

Some embodiments provide a wearable monitoring device including a motion sensor and a photo (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable monitoring device in a low power state when the device determines that the device is not worn by a user.

A haptic robotic training system includes a haptic robot arm, a position tracking system, a scanning surface, a monitor and a computer. The robotic arm includes a haptic feedback system and holds a custom syringe in place. The position tracking system includes a positon tracking probe shaped like an ultrasound probe and a motion tracker. The scanning surface is a soft pad made from a synthetic phantom tissue. A simulation software receives the positioning data for the syringe from the robotic arm, and for the virtual ultrasound probe from the position tracking system and generates a virtual environment which mimics an actual ultrasound image. The user receives a real time feedback in the form of a haptic feel through the robotic arm, a virtual ultrasound image on the screen, and a performance feedback on the simulation software.

In one embodiment, a method to find tissue proximity indications includes inserting a catheter into a body part of a living subject such that electrodes of the catheter contact tissue at respective locations within the body part, receiving signals provided by the electrodes, selectively rewarding and penalizing a reinforcement learning agent over reinforcement learning exploration phases to learn at least one tissue proximity policy responsively to at least one of the received signals, applying the reinforcement learning agent in reinforcement learning exploitation phases to find respective tissue-proximity actions to be taken that maximize respective expected rewards responsively to the at least one tissue proximity policy, and providing respective derived tissue-proximity indications of proximity of a given one of the electrodes with the tissue responsively to the found respective tissue-proximity actions.

A system includes multiple electrically-conductive channels and a processor. The processor is configured to receive, over the electrically-conductive channels, (i) respective first electric currents from a probe, which is within a body of a patient, via a plurality of first electrodes, which are attached to skin of the patient at a region of the body, and (ii) a second electric current from the probe via a second electrode, which is attached to the skin and is connected to one of the channels. The processor is further configured to ascertain respective first electric-current values of the first electric currents and a second electric-current value of the second electric current, and to calculate a position of the probe between the region and the second electrode, based on the first electric-current values and the second electric-current value. Other embodiments are also described.

Provided are an electronic device and a method for controlling the same. An electronic device for providing continuous blood glucose monitoring comprises: a first sensor for measuring a glucose level of an interstitial fluid in order to predict blood glucose; a second sensor disposed on an inner surface of the electronic device to be in contact with a human body, in order to measure at least one of a blood flow and a heart rate of the human body; and a processor for determining a diffusion time during which glucose present in blood diffuses into the interstitial fluid, on the basis of characteristics of a signal generated by the second sensor, and predicting the blood glucose on the basis of the glucose level measured by the first sensor and the determined diffusion time.

A multimodal intravascular analysis uses a structural intravascular analysis modality to compensate for a chemical analysis modality. Examples of structural analysis are IVUS, OCT, including optical coherence domain Reflectometry (OCDR) and optical frequency domain imaging (OFDI), and/or sonar rangefinding. Examples of chemical or functional analysis are optical, NIR, Raman, fluorescence and spectroscopy, thermography and reflectometry. In one example, the structural analysis is used to characterize the environment structurally, such as catheter head-vessel wall distance. This information is then used to select from two or more algorithms which are depth specific (e.g. shallow vs. deep), to achieve improved accuracy in the chemical or functional analysis.

A system for monitoring a person may include a person-worn sensor device including at least one sensor (e.g., at least one accelerometer, magnetometer, altimeter, etc.) configured to collect sensor data and a processor to process data from the person-worn sensor device. The processor may be configured to determine or access an orientation of a physical support apparatus (e.g., bed, table, wheelchair, chair, sofa, or other structure for supporting the person), receive sensor data collected by the person-worn sensor device, calculate an orientation of the person relative to the physical support apparatus based on (a) the orientation of the physical support apparatus and (b) the sensor data collected by the person-worn sensor device, and identify, based on the determined orientation of the person relative to the physical support apparatus, a physical support apparatus exit condition indicating an occurrence or anticipated occurrence of the person exiting the physical support apparatus.

Embodiments of apparatuses and methods for determining an emplacement of sensors in a wound dressing are disclosed. In some embodiments, a wound dressing includes a plurality of sensors configured to measure wound or patient characteristics. One or more processors are configured to receive wound or patient characteristics data as well as emplacement data. The received data can be used to determine an emplacement of the plurality of sensors, the wound dressing, or a wound. The sensors can include a set of nanosensors. The wound dressing can include pH sensitive ink which can be utilized for determining a placement of the wound dressing and determining a pH associated with the wound. The wound dressing can be used in a negative pressure wound therapy system.