Patents by Inventor Hiroto SANO

Hiroto SANO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230157648
    Abstract: A physiological information acquisition device includes: a reception interface configured to receive waveform data corresponding to a measured waveform of a physiological parameter of a subject from a sensor; a notifier configured to output an alarm indicating that the physiological parameter is not normally acquired; a processor configured to cause the notifier to output the alarm based on the waveform data; and a predictor configured to predict, based on the waveform data, a probability that the physiological parameter is erroneously calculated. The processor is configured to cause the notifier to perform a notification of at least one of a quality of the waveform data, a state of the sensor, and an action shall be taken by a user, based on the probability.
    Type: Application
    Filed: May 17, 2021
    Publication date: May 25, 2023
    Applicant: NIHON KOHDEN CORPORATION
    Inventors: Takuya KAWASHIMA, Hiroto SANO, Wataru MATUZAWA
  • Publication number: 20230094927
    Abstract: A fluid balance management system includes: a detection device configured to output a detection signal corresponding to a load applied to a bed in which a subject is present; a prediction device configured to acquire load variation information indicating a variation over time of the load based on the detection signal, and predict an event that causes variation in fluid balance of the subject from the load variation information; and an output device configured to output prediction information corresponding to a prediction result of the event.
    Type: Application
    Filed: September 19, 2022
    Publication date: March 30, 2023
    Applicant: NIHON KOHDEN CORPORATION
    Inventors: Takuya KAWASHIMA, Wataru MATSUZAWA, Hiroto SANO, Katsuyoshi SUZUKI, Yoshihiro TAKAYANAGI
  • Publication number: 20220284739
    Abstract: A method for generating a learned model applied to a prediction device that predicts a probability that a subject develops delirium based on a moving image in which the subject appears is provided. The method includes: acquiring first data corresponding to the moving image in which the subject appears; generating, based on the first data, second data corresponding to changes over time in relative positions of a plurality of feature points in a body of the subject in the moving image; generating third data indicating a determination result as to whether the subject develops delirium based on the moving image; and generating the learned model by causing a neural network to learn using the second data and the third data.
    Type: Application
    Filed: February 22, 2022
    Publication date: September 8, 2022
    Applicant: NIHON KOHDEN CORPORATION
    Inventors: Hiroto SANO, Wataru Matsuzawa, Takuya Kawashima
  • Publication number: 20220015715
    Abstract: A processing device configured to process physiological information of a subject, the processing device includes a reception interface configured to receive first data corresponding to a measurement waveform of a first physiological parameter of the subject, and second data related to an acquisition environment of the first physiological parameter, an predictor configured to predict a first probability of correctly calculating a value of the first physiological parameter, based on the first data, and a processor configured to identify, of the first data, a part in which the first probability is higher than a first threshold under a circumstance where the first physiological parameter is determined to be abnormally acquired based on the second data.
    Type: Application
    Filed: July 15, 2021
    Publication date: January 20, 2022
    Applicant: NIHON KOHDEN CORPORATION
    Inventors: Takuya KAWASHIMA, Hiroto SANO, Wataru MATSUZAWA
  • Publication number: 20210150344
    Abstract: A method for generating a trained model is applied to an estimation apparatus configured to estimate a probability that a value of a predetermined physiological parameter is correctly calculated based on waveform data acquired from a subject being tested. The method includes: acquiring first data corresponding to a value of a first physiological parameter that has been correctly calculated from first waveform data; inputting second waveform data to an algorithm automatically calculating a value of a second physiological parameter acquired from input waveform data and to output second data; generating third data including a training label indicating whether the value of the second physiological parameter corresponding to the second data is a correct answer or an incorrect answer by comparing the second data with the first data; and training a neural network by using the second waveform data and the third data, to generate a trained model.
    Type: Application
    Filed: November 3, 2020
    Publication date: May 20, 2021
    Applicant: Nihon Kohden Corporation
    Inventors: Takuya KAWASHIMA, Wataru MATSUZAWA, Hiroto SANO
  • Publication number: 20180296188
    Abstract: A patient monitor (10) acquires a vital sign that is based on a physiological signal of a subject, and an ultrasonic image that is based on a reflected wave of an ultrasonic wave which is irradiated onto the subject. A display section (16) displays information of the subject. A control section (14) switches between a first mode in which a screen containing information of the vital sign is displayed on the display section (16), and a second mode in which a screen containing the ultrasonic image is displayed on the display section (16).
    Type: Application
    Filed: October 5, 2016
    Publication date: October 18, 2018
    Applicant: NIHON KOHDEN CORPORATION
    Inventors: Mitsuhiro OURA, Sou KUMAGAI, Wataru MATSUZAWA, Naoki KOBAYASHI, Hiroto SANO, Takashi MORI, Nobuyuki YASUMARU, Kazuya NAGASE