An electrocardiogram analysis apparatus includes: an electrocardiogram signal inputting section to which electrocardiogram signals of measurement electrodes attached to a subject are input; a mistaken attachment determining section which, by using the input electrocardiogram signals, determines whether the measurement electrodes are mistakenly attached or not; an outputting section which, if it is determined that the measurement electrodes are mistakenly attached, notifies of mistaken attachment of the measurement electrodes; and an electrocardiogram data storing section which, in a case where there is an input indicative of confirmation of the notification, stores information indicating that the measurement electrodes have been checked, together with the input electrocardiogram signals, and, in a case where there is not an input indicative of confirmation of the notification, stores information indicating that the measurement electrodes have not been checked, together with the input electrocardiogram signals.

According to one embodiment of the present disclosure, a surgical device is disclosed. The surgical device includes a motor and a transmission assembly movable by the motor. The surgical device also includes a force sensor configured to measure force imparted on the transmission assembly. The device may also include a controller configured to: control the motor to move the transmission assembly to a starting position, interrogate the force sensor to receive a sensor signal, compare the sensor signal to a threshold, and determine whether the force sensor is faulty based on the comparison of the sensor signal to the threshold.

In examples described herein, a patient monitoring device is configured to determine, based on signals received from signal acquisition devices, whether there is a mismatch among sensors connected to the signal acquisition devices. In some examples, each signal acquisition device is configured to communicate to the monitoring device what types of sensors are attached to the respective signal acquisition device. Additionally or alternatively, each signal acquisition device can determine whether there is a mismatch among the sensors connected to the signal acquisition device and send an indication of the match or mismatch to the monitoring device.

An emergency medical device (20) (e.g., an external defibrillator/monitor) employing an emergency medical subsystem (21) for executing an emergency medical procedure (e.g., a monitoring subsystem (21) and a therapy subsystem (21)), and an emergency medical controller (23) for controlling an activation of the emergency medical subsystem (21). The subsystem (21) includes one or more operational components (22). In operation, the controller (23) conditionally actuates a device readiness indicator (24) (e.g., auditory or visual) indicative of an operational readiness of the operational component(s) (22), and conditionally actuates a failure warning indicator (25) (e.g., auditory or visual) indicative of a pending failure of the operational readiness of the operational component(s) (22). The failure warning indicator (25) may be actuated based on a predictive failure analysis of a premature degradation of the operational component(s) (22), a repeated occurrence of error conditions of the operational component(s) (22) (particularly recoverable error conditions), and a shortened reliable life of the operational component(s) (22).

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

A method for verifying wireless devices connected to a wireless medical body area network, MBAN, is provided. The method comprises activating a request for verification by a user activating the request for verification on any one of the wireless devices; receiving the request for verification by the any one wireless device of the wireless MBAN; and indicating a plurality of wireless devices connected to the wireless MBAN by displaying an indication on the plurality of wireless devices. A wireless MBAN comprising wireless devices. The wireless MBAN comprises each wireless device being configured for an activation of a verification; and a plurality of the wireless devices being configured to display an identification upon the activation of the verification.

An integrated catheter placement system for placing a catheter in a vasculature of a patient. The system includes a system console with a tip location mode and an ultrasound mode viewable on a display, a magnetic assembly emanating a magnetic field, a tip location sensor designed to sense the magnetic field, and an ultrasound probe for ultrasonically imaging an internal portion of the patient. The magnetic field may provide magnetic field information for locating the magnetic assembly relative to the tip location sensor. The tip location sensor is designed to communicate the magnetic field information to the system console. The system console is designed to display an icon representative of a location of the magnetic assembly relative to the tip location sensor in the tip location mode.

Urine collection systems and associated methods and devices are disclosed herein. A representative system can include a urine collection device, a flow control assembly configured to direct a urine flow from the patient to the urine collection device, and a urine measurement device including a first sensor and a second sensor. The first sensor is configured to generate first sensor data based on a weight of the container, and the second sensor is configured to generate second sensor data based on the urine flow from the patient to the container. The system can further include non-transitory computer readable media having instructions that, when executed by one or more processors, cause the system to perform operations comprising determining a first patient urine output based on the first sensor data; and determining a second patient urine output based on the second sensor data.

An ambulatory medical device comprises: a sensing component to be disposed on a patient for detecting a physiological signal of the patient; and monitoring and self-test circuitry configured for detecting a triggering event and initiating one or more self-tests based on detection of the triggering event. The ambulatory medical device senses the physiological signal of the patient substantially continuously over an extended period of time.

An analyte monitoring system and method. The analyte monitoring system may include an analyte sensor and a transceiver. The analyte sensor may include an analyte indicator that exhibits one or more detectable properties based on an amount or concentration of an analyte in proximity to the indicator. The transceiver may be configured to receive one or more measurements from the sensor. The transceiver may be configured to assess in real time a performance of the sensor based on at least the one or more measurements. The transceiver may be configured to determine whether the performance of the sensor is deficient based at least on the assessed performance of the sensor. The transceiver may be configured to calculate an analyte level based on at least the one or more sensor measurements. The transceiver may be configured to determine whether the calculated analyte level is a spike.