Panasonic Corporation

Omron Healthcare Company Ltd.

Meiji Co., Ltd.

Osaka City University

University Public Corporation Osaka

Kei Mizuno

Yasuyoshi Watanabe

Kenji Fujii

Shingo Yamashita

Masami Funakura

Seiya Makino

Etsuko Kanai

Hiroshi Kano

Jun Henmi

Masaaki Tanaka

Yoshihito Shigihara

A fermented milk for improving autonomic nervous function containing at least one lactic acid bacterial species of the genusand its metabolite. The lactic acid bacterial species of the genusis selected from the group consisting ofsubsp.and. The lactic acid bacterial strain of the genusis preferablysubsp.OLL1073R-1(FERM BP-10741).

Fermented milk for improving autonomic nervous function

A fatigue degree determination device includes a fatigue degree determination unit. A first biological heart rate is acquired while a user is awake and at rest, based on a biological heart rate measured from the user. A second biological heart rate is acquired while the user is sleeping, based on the biological heart rate measured from the user. The fatigue degree determination unit determines a fatigue degree of the user, based on information read out from a storage medium, the first biological heart rate and the second biological heart rate. The storage medium stores the information in which a degree of change of one biological heart rate relative to the other biological heart rate of a biological heart rate while a person is awake and at rest and a biological heart rate while the person is sleeping and a fatigue degree are associated with each other.

Fatigue degree determination device, and fatigue degree determination method

A human fatigue assessment device capable of performing highly accurate fatigue assessment is provided. The human fatigue assessment device includes: a physiological signal measuring unit which measures a pulse wave signal of a user; a feature value extracting unit which extracts first feature values each of which is obtained from a systolic posterior component of the pulse wave signal measured by the physiological signal measuring unit; a storage unit in which the first feature values extracted by the feature value extracting unit are stored; and a fatigue determining unit which determines whether or not the user is fatigued, using the first feature values extracted by the feature value extracting unit, in which the fatigue determining unit compares a first feature value among the first feature values extracted by the feature value extracting unit and at least one of the first feature values stored in the storage unit, to determine whether or not the user is fatigued.

Human fatigue assessment device and human fatigue assessment method

Growing community of inventors

Osaka, Japan

Kei Mizuno