A medical device navigation system includes a medical device assembly and a navigation device. The medical device assembly includes an adhesive patch configured to adhere to an outer surface of a patient and a tracking assembly coupled to the adhesive patch. The tracking assembly includes one or more reference markers. The navigation device is configured to receive image data representing one or more images from an imaging device. The one or more images indicate a relative position between the one or more reference markers and a treatment site in the patient. The navigation device is configured to determine, based on the image data, a percutaneous insertion path for an injection needle from an insertion point to the treatment site of the patient and output one or more parameters corresponding to the percutaneous insertion path.

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

An ECG monitoring system includes two or more active electrodes, each active electrode having an electrode pad fixable to a patient to sense physiological potentials from the patient, a common connection port, and a wireless transmitter. The system further includes a common connector electrically connected to the common connector port of each of the two or more active electrodes to provide a comparator signal to each of the active electrodes. Each of the active electrodes compares the physiological potentials sensed at the electrode pad against the comparator signal to generate a cardiac signal, and then wirelessly transmits the cardiac signal with the wireless transmitter.

A wearable device is provided. The wearable device includes a first sensor having a plurality of electrodes, and at least one processor electrically connected to the first sensor. The at least one processor may obtain a first electrocardiogram signal by using a first sensor in a state where the wearable device is worn on a user's body, obtain an electromyogram signal from the first electrocardiogram signal, obtain a second electrocardiogram signal by filtering the electromyogram signal from the first electrocardiogram signal, determine the wearing state of the wearable device on the basis of the intensity of the electromyogram signal and the quality of the second electrocardiogram signal, and output a guide on the wearing state on the basis of a determination result.

A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed. The method comprises the steps of gathering data during surgical procedures, wherein the surgical procedures include the use of a surgical instrument, analyzing the gathered data to determine an appropriate operational adjustment of the surgical instrument, and adjusting the operation of the surgical instrument to improve the operation of the surgical instrument.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

An ultrasound diagnostic apparatus includes: an image generator that generates ultrasound image data based on a reception signal received from an ultrasound probe that sends and receives ultrasound waves; a fastener that attaches the ultrasound probe to a subject and fastens the ultrasound probe on the subject such that a pressure applied to the subject to which the ultrasound probe is attached is adjustable; and a hardware processor. The hardware processor controls driving of the fastener, based on difference information between before fastening the ultrasound probe and during/after fastening the ultrasound probe, the difference information being on at least one of positional information on a position of an observation target of the subject, angle information on an angle of the observation target, and pressure information on a pressure applied to the subject.

A system has a plurality of diagnostic sensors and a first computing device interconnected to the plurality of diagnostic sensors for: commanding the plurality of diagnostic sensors to collect diagnostic data from a patient, determining if each of the plurality of diagnostic sensors are positioned at respectively predefined body locations of the patient, combining the collected diagnostic data for analysis when all of the plurality of diagnostic sensors are positioned at respectively predefined body locations of the patient, and prompting the patient to reposition at least one of the plurality of diagnostic sensors when the at least one sensor is determined as being mis-positioned from the corresponding predefined body location.

Provided is an electrocardiogram lead guide system. The electrocardiogram lead guide system may include: an electrocardiograph attached to a part of a body of a patient and acquiring posture information and electrocardiogram signals using a plurality of sensors; and a user terminal providing guide information for guiding the attachment direction of the electrocardiograph based on the posture information.

A system for achieving optimal sensor placement and enhanced signal quality for monitoring maternal and fetal activities is disclosed. The system includes a monitoring device and a computing unit. The monitoring device is configured for monitoring maternal and fetal activities and providing guidance to the user via the computing unit upon detecting a feature of interest. The monitoring device includes a plurality of sensors, a data acquisition and transmission unit, one or more reference electrodes, and a ground electrode. Based on personal data acquired using the computing unit, the system utilizes a statistical or machine learning model which incorporates one or more subsets of the personal data to determine the optimal sensor placement close to the fetal heart position. Following sensor placement, the monitoring device performs a signal quality assessment and selects the optimal sensors to ensure reliable information on maternal and fetal activities is obtained.