Abstract: An apparatus for measuring an adhesion force, the apparatus comprising a stage configured to support a specimen, and a sensor adhered to the specimen, wherein the sensor detects the adhesion force of the specimen, the adhesion force of the specimen being a force for detaching the sensor from the specimen.

Abstract: A deep neural network pre-training method for classifying electrocardiogram (ECG) data and a device for the same are disclosed. A method for training an ECG feature extraction model may include receiving a ECG signal, extracting one or more first features related to the ECG signal by inputting the ECG signal to a rule-based feature extractor or a neural network model, extracting at least one second feature corresponding to the at least one first feature by inputting the ECG signal to an encoder, and pre-training the ECG feature extraction model by inputting the at least one second feature into at least one of a regression function and a classification function to calculate at least one output value. The pre-training of the ECG feature extraction model may include training the encoder to minimize a loss function that is determined based on the at least one output value and the at least one first feature.

Abstract: An automatic cardiopulmonary resuscitation device includes a movable chest compressor for repeatedly pressing a patient's chest at a preset depth and cycle, a cardiac output measurement unit for measuring a cardiac output of the patient in accordance with the pressurization of the chest compressor and a processor for changing pressing locations by performing control such that the chest compressor moves according to a preset method.

Abstract: An automatic cardiopulmonary resuscitation device and a control method therefor are disclosed. The automatic cardiopulmonary resuscitation device comprises: a movable chest compressor for repeatedly pressing a patient's chest at a preset depth and cycle; a cardiac output measurement unit for measuring a cardiac output of the patient in accordance with the pressurization of the chest compressor; and a processor for changing pressing locations by performing control such that the chest compressor moves according to a preset method, wherein the processor controls the cardiac output measurement unit such that the cardiac output measurement unit measures the patient's cardiac output at each of the changed pressurized locations, selects a pressing location at which the patient's cardiac output becomes the maximum on the basis of the measured cardiac output, and performs control such that the chest compressor moves to the pressing location at which the patient's cardiac output becomes the maximum.