US 11,998,360 B2
Device and method for sequential posture identification and autonomic function information acquisition
Keitaro Horikawa, Musashino (JP); Yoshitaka Nakamura, Musashino (JP); Masato Sawada, Musashino (JP); Akihiro Yamanaka, Musashino (JP); Shingo Tsukada, Atsugi (JP); and Toshiya Yamada, Yokohama (JP)
Assigned to NIPPON TELEGRAPH AND TELEPHONE CORPORATION, Chiyoda-ku (JP)
Filed by NIPPON TELEGRAPH AND TELEPHONE CORPORATION, Chiyoda-ku (JP)
Filed on Jun. 21, 2021, as Appl. No. 17/352,499.
Application 17/352,499 is a division of application No. 15/551,331, granted, now 11,350,879, previously published as PCT/JP2016/054438, filed on Feb. 16, 2016.
Claims priority of application No. 2015-028850 (JP), filed on Feb. 17, 2015.
Prior Publication US 2021/0307699 A1, Oct. 7, 2021
Int. Cl. A61B 5/00 (2006.01); A61B 5/024 (2006.01); A61B 5/11 (2006.01); A61B 5/16 (2006.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/021 (2006.01); A61B 5/352 (2021.01)
CPC A61B 5/721 (2013.01) [A61B 5/024 (2013.01); A61B 5/02405 (2013.01); A61B 5/1116 (2013.01); A61B 5/1118 (2013.01); A61B 5/1123 (2013.01); A61B 5/16 (2013.01); A61B 5/4035 (2013.01); A61B 5/7267 (2013.01); A61B 5/7282 (2013.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/021 (2013.01); A61B 5/352 (2021.01); A61B 5/6804 (2013.01); A61B 2503/10 (2013.01); A61B 2503/12 (2013.01); A61B 2505/09 (2013.01)] 12 Claims
OG exemplary drawing
 
1. An autonomic function information acquisition device, comprising:
a wearable device that has a shirt shape and is configured to be attached to a trunk of a subject;
an acceleration sensor that is provided in the wearable device, and measures acceleration information of motion of the subject whom the wearable device is attached to;
a biological signal information sensing device that is provided in the wearable device, and measures biological signal information of the subject; and
processing circuitry configured to
identify, by executing sequential machine learning for the acceleration information and the biological signal information in a first predetermined period, a posture and an activity of the subject in a second predetermined period;
extract biological signal information corresponding to a combination of the same posture and activity identified; and
calculate a parameter of autonomic function evaluation from the biological signal information extracted and corresponding to the combination of the same posture and activity.