A biological condition diagnosis system includes, at least: an obtainer, a receiver, a preprocessor, a processor, and a diagnoser, for biological data. The obtainer obtains the biological data by a reflective photoelectric plethysmography sensor. The preprocessor optimally preprocesses the obtained biological data. The processor extracts a feature point from the preprocessed data. The diagnoser diagnoses a biological condition using machine learning, based on the extracted biological data.

An intraoral scanner includes a device body and a connection portion. The device body has a heat-dissipating structure and a first electrical connection port. The connection portion is detachably connected to the device body and includes a second electrical connection port and a fan. The second electrical connection port is electrically connected to the first electrical connection port. The fan generates an airflow that flows through the heat-dissipating structure.

A handheld electromechanical surgical device, capable of effectuating a surgical procedure, includes a handle assembly having a power source; at least one motor coupled to the power source; and a controller configured to control the motor. The surgical device includes an adapter assembly having an electrical assembly having a proximal end in communication with the controller of the handle assembly. The surgical device includes a reload configured to selectively connect to a distal end of the adapter assembly. The reload includes an annular array of staples; an annular staple pusher for ejecting the staples; and a data storage device selectively connectable to a distal end of the electrical assembly. The data storage device receives and stores performance data of the surgical device from the controller of the handle assembly.

A photoplesythmography (PPG) device includes an array of light emitting diodes (LED's) arranged to illuminate a tissue sample, and an array of photodetectors (PD's) adapted to detect light returned from the tissue sample and to output a PD output signal which depends at least in part on a bias current. The PPG device also includes a compensation current source and a controller. The controller is adapted to operate the compensation current source so that the current source outputs the bias current to the photodetector array.

This disclosure describes systems and methods for electrocardiographic waveform analysis, data presentation and actionable advisory generation. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis can be performed on the electrocardiographic waveform data to provide cardiac analytics. A visualization of the cardiac analytics on a dashboard display can be generated. A value can be based on a comparison of the cardiac analytics to at least one baseline value for the patient; and a decision of whether or not to generate an actionable advisory for the electrocardiographic waveform data can be made based on the value. When the actionable advisory is generated, the actionable advisory is sent to one or more medical professionals, where it can be modified, and displayed with the visualization of the cardiac analytics.

An actuator is movable between a first position and a second position to move a drive mechanism between a first configuration and a second configuration relative to a housing. A cartridge assembly configured to be removably coupled to the housing to couple such that the cartridge assembly is coupled to the drive mechanism. A first member of the drive mechanism moves a first member of the cartridge assembly to advance a surgical clip of the cartridge assembly in a distal direction when the drive mechanism is placed in the first configuration. A second member of the drive mechanism moves a second member of the cartridge assembly relative to the clamp mechanism when the drive mechanism is placed in the second configuration to transition the clamp mechanism from a first configuration to a second configuration. The clamp mechanism is configured to clamp the surgical clip when in the second configuration.

A microrobot configured to move in a viscous material, in particular in an organ of a subject such as a brain, the microrobot having a propulsion structure including a head portion, a rear portion and a deformable portion connecting the head portion and the rear portion. The deformable portion is deformable in elongation/contraction along a main axis connecting the head portion and the rear portion. The head portion includes at its surface at least one propulsion cilium, one end of the at least one propulsion cilium being attached to the head portion and the other end of the at least one propulsion cilium being a free end configured to move freely in the viscous material. The propulsion structure further comprises a motor configured to actuate sequentially elongation/contraction cycles of the deformable portion.

A base plate and/or a sensor assembly part for an ostomy appliance and related method is disclosed, the base plate and/or the sensor assembly part comprising: a first adhesive layer with a proximal side configured for attachment of the base plate and/or the sensor assembly part to the skin surface of a user, the first adhesive layer having a stomal opening with a center point; and a plurality of electrodes including a first leakage electrode, a second leakage electrode, and a third leakage electrode, wherein the plurality of electrodes is configured to detect presence of fluid on the proximal side of the first adhesive layer in a primary sensing zone and a secondary sensing zone, the primary sensing zone arranged in a primary angle space from the center point of the first adhesive layer and the secondary sensing zone arranged in a secondary angle space from the center point of the first adhesive layer.

A system and method of monitoring a life-threating medical situation based on an ejection-fraction measurement is provided with a medical monitoring system. The medical monitoring system includes a system central processing unit (CPU), and a normal ejection-fraction range managed by the system CPU. First, continuous echocardiographic data for a heart of a patient is received with system CPU. Next, a real-time ejection-fraction measurement is derived from the continuous echocardiographic data with the system CPU. Finally, if the real-time ejection-fraction measurement is outside of the normal ejection-fraction range, a life-threatening situation alert is outputted with the medical monitoring system.

Systems and methods for electrocardiographic waveform analysis, data presentation and actionable alert generation are described. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis of at least a portion of the electrocardiographic waveform data can be performed to provide cardiac analytics. In instances where (1) a pathologically prolonged QT interval and (2) an R on T premature ventricular contraction and/or a ventricular tachycardia are detected from the cardiac analytics of the at least a portion of the electrocardiographic waveform data, an actionable alert can be generated and displayed with a visualization of the cardiac analytics.