A wearable device includes a processor and a lower module. The lower module includes a pressure sensor for detecting a mechanical movement of a skin that covers an artery. The mechanical movement of the skin is due to blood flow through the artery. The processor is configured to receive skin movement information from the movement sensor; calculate a pulse front velocity (PFV), which is a velocity of a blood wave as the blood wave passes under the pressure sensor; estimate a pulse wave velocity (PWV) using the PFV; and estimate the blood pressure using the PWV.

A muscle relaxation monitoring apparatus includes a calibration processing section. The calibration processing section is configured to: set an initial stimulation current value as a starting stimulation current value; determine, as a current value variable process, one of a first and a second current value variable process; detect, as a first peak value and a second peak value, amplitude peak values of an electric signal; and detect a stimulation current value of a maximal stimulation of a subject, based on a result of a comparison of the first peak value and the second peak value, and acquires a stimulation current value that is obtained by adding a step current value to the stimulation current value, as the stimulation current value of a supramaximal stimulation of the subject.

A stimulation current value that causes the supramaximal stimulation according to a subject in the muscle relaxation state is detected. A muscle relaxation monitoring apparatus includes a calibration processing section 4 for performing a calibration process that electrically stimulates a nerve which is an observation portion of a subject, by a predetermined stimulation current value at a predetermined stimulation timing, and that acquires a stimulation current value of a supramaximal stimulation exceeding a maximal stimulation of the subject, based on an amplitude peak value of an electric signal that is based on a stimulation response of a muscle due to the electrical stimulation. The calibration processing section 4 performs, when the subject is in an awake state, the calibration process while using a first stimulation timing that is preset, as the stimulation timing, and performs, when the subject is in a muscle relaxation state, the calibration process while using a second stimulation timing that is longer in period than the first stimulation timing, as the stimulation timing.

In an embodiment a wrist-worn electronic device includes a main body, a wrist strap connected to the main body, wherein the wrist strap is configured to place the main body on a wrist of a target user, a wrist size determining part configured to measure, by using the wrist strap of the wrist-worn electronic device, a use circumference of the wrist-worn electronic device that matches a wrist size of the target user, and determine the wrist size of the target user based on the use circumference of the wrist-worn electronic device, and a blood pressure determining part configured to detect a pulse wave signal of the target user, measure a measured blood pressure of the target user based on the pulse wave signal, and correct the measured blood pressure of the target user based on the wrist size of the target user thereby obtaining a first corrected blood pressure of the target user.

Techniques are described for integrating blood pressure measurement (BPM) into a portable electronic device. For example, an input interface of the device includes an integrated force sensor. Human-discernable feedback is output to the user, while using the force sensor to monitor fingertip pressure being applied by the user on the input interface, to guide the user into a first condition in which capillary fingertip blood flow (CFBF) is occluded. The human-discernable feedback is then output to the user, while continuing to use the force sensor to monitor the fingertip pressure, to guide the user into one or more subsequent conditions that allow non-occluded CFBF signals to be sensed by one or more sensors (e.g., the force sensor, an optical fingerprint sensor, etc.). The sensed non-occluded CFBF signals can be used to generate one or more CFBF-based BPM readings for the user (e.g., which can be calibrated to arterial BPM).

An ear-wearable electronic device includes one or more processors configured to detect presence of first and second hearing devices in a charging case, and to initiate a self-check protocol by at least one of the first and second hearing devices. The self-check protocol comprises wirelessly coupling the first and second hearing devices, selectively activating at least one electronic component of the first hearing device, and assessing performance of the second hearing device using an output or a response of the at least one electronic component of the first hearing device. The self-check protocol also comprises selectively activating at least one electronic component of the second hearing device, assessing performance of the first hearing device using an output or a response of the at least one electronic component of the second device, and storing results of the performance assessment in a memory.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to estimate the action potential wave propagation in a patient's heart, and subsequently to detect at least one location or type of at least one source of, or rotational phenomenon associated with, at least one cardiac rhythm disorder using intracardiac electrodes and a modified multi-frame Horn-Schunck algorithm to generate a map corresponding to a spatial map, the map being configured to reveal on a monitor or display to a user the at least one location of the at least one source of the at least one cardiac rhythm disorder.

Systems and methods of tracking the position of an endoscope within a patient's body during an endoscopic procedure is disclosed. The devices and methods include determining a position of the endoscope within the patient in the endoscope's coordinate system, capturing in an image fiducial markers attached to the endoscope by an external optical tracker, transforming the captured fiducial markers from the endoscope's coordinate system to the optical tracker's coordinate system, projecting a virtual image of the endoscope on a model of the patient's organ, and projecting or displaying the combined image.

A system comprising a plurality of electrodes adapted to measure bio impedance measurements using electrical currents passing in a target thorax area of a target therebetween during a learning phase, at least one radiofrequency (RF) sensor adapted to measure RF interaction measurements of RF radiation interacting with the target thorax area during the learning phase, and at least one processor adapted to: calculate calibration function according to the bio impedance measurements and the RF interaction measurements, and determine a target thorax area value by adjusting subsequent bio impedance measurements using subsequent electrical currents passing in the target thorax area during an operational learning phase using the calibration function.

An apparatus for calibration of a bio-information estimation model includes a sensor configured to obtain a bio-signal from an object in a reference interval; a feature extractor, implemented by at least one processor, configure to extract a reference feature value from the bio-signal; and a calibrator, implemented by the at least one processor, configured to determine whether a condition is satisfied based on at least one of the reference feature value and an offset value, and based on determining that the condition is satisfied, configured to calibrate the bio-information estimation model based on the reference feature value and the offset value.