Abstract: An information processing device is provided. This information processing device has a read-out unit, a calculation unit, and an output unit. The read-out unit reads a first electrocardiogram waveform of a first subject. The calculation unit calculates an index that depends on the expected value of heart failure severity on the basis of the first electrocardiogram waveform and reference information. The reference information shows the correlation between the index and a second electrocardiogram waveform of a second subject that is different from the first subject. The output unit outputs the index.

Abstract: An information processing system is provided to reduce labor of medical staff in determining heart failure stage. The information processing system is configured to execute: a reading step of reading out an input first electrocardiogram including an electrocardiogram of a user; and a determination step of determining a heart failure stage of the user based on the first electrocardiogram and reference information, wherein the reference information is information showing a relationship between the second electrocardiogram, including the electrocardiogram obtained beforehand, in which the heart failure stage has been determined by the physician, and a feature quantity of the heart failure, wherein: the reference information is a learned model in which the feature quantity of the heart failure is learned from the second electrocardiogram, and the learned model is a model that learned a content determined in the determination step and corresponding clinical data.

Abstract: An information processing system is provided to reduce labor of medical staff in determining heart failure stage. The information processing system is configured to execute: a reading step of reading out an input first electrocardiogram including an electrocardiogram of a user; and a determination step of determining a heart failure stage of the user based on the first electrocardiogram and reference information, wherein the reference information is information showing a relationship between the second electrocardiogram, including the electrocardiogram obtained beforehand, in which the heart failure stage has been determined by the physician, and a feature quantity of the heart failure, wherein: the reference information is a learned model in which the feature quantity of the heart failure is learned from the second electrocardiogram, and the learned model is a model that learned a content determined in the determination step and corresponding clinical data.

Abstract: A semiconductor device is provided which includes a first-conductivity-type collector layer having a rear surface on which a collector electrode is formed, a second-conductivity-type buffer layer laminated on the collector layer, a second-conductivity-type conductivity modulation layer formed on the buffer layer, a first-conductivity-type emitter layer formed as a well in a surface of the conductivity modulation layer, a second-conductivity-type source region formed in a surface of a well edge portion of the emitter layer, a gate electrode formed through a gate insulating film to overlap the source region and the conductivity modulation layer, and an emitter electrode that is in ohmic contact with both the emitter layer and the source region.

Abstract: An insulated-gate bipolar transistor (IGBT) is connected in reverse-parallel with a current-regenerative diode which, for economy of manufacture, is integrated with the IGBT. Such a diode may extend laterally on an IGBT chip, with two conductivity regions forming the diode respectively connected to emitter and collector electrodes of the IGBT. Alternatively, the diode may be formed by short-circuiting a buffer layer and a collector layer. By such integration, greater device packing density can be realized.