US 11,813,733 B2
Medical robot system, data analysis apparatus, and medical-robot monitoring method
Kaoru Asano, Kobe (JP); Yasuhiro Kouchi, Kobe (JP); Mitsuichi Hiratsuka, Kobe (JP); and Tetsuya Nakanishi, Kobe (JP)
Assigned to SYSMEX CORPORATION, Kobe (JP); and MEDICAROID CORPORATION, Kobe (JP)
Filed by SYSMEX CORPORATION, Kobe (JP); and Medicaroid Corporation, Kobe (JP)
Filed on Dec. 9, 2019, as Appl. No. 16/707,210.
Application 16/707,210 is a continuation of application No. 15/373,525, filed on Dec. 9, 2016, granted, now 10,500,728.
Claims priority of application No. 2015-242730 (JP), filed on Dec. 11, 2015.
Prior Publication US 2020/0114511 A1, Apr. 16, 2020
Int. Cl. B25J 9/16 (2006.01); A61B 34/30 (2016.01); A61B 34/35 (2016.01); A61B 34/20 (2016.01); A61B 90/00 (2016.01)
CPC B25J 9/1674 (2013.01) [A61B 34/30 (2016.02); B25J 9/1689 (2013.01); A61B 34/35 (2016.02); A61B 2034/2059 (2016.02); A61B 2034/2065 (2016.02); A61B 2090/0818 (2016.02); G05B 2219/31334 (2013.01); G05B 2219/45117 (2013.01); Y10S 901/01 (2013.01); Y10S 901/46 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A medical-robot monitoring method for monitoring remotely located medical robots each including a movable part, the method comprising:
collecting, by a computer at a data center, from each of the medical robots over an external network, data of a measured value of a motion of the movable part of the medical robot;
statistically analyzing, by the computer at the data center, the data collected from the medical robots to calculate, based on the statistically analyzed data, a reference value for determining whether an individual one of the medical robots is normal or abnormal among the medical robots;
comparing, by the computer at the data center, a difference between the reference value and the measured value of one of the medical robots with a threshold, to detect a sign of abnormality of the one of the medical robots in response to determining that the difference exceeds the threshold; and
notifying by the computer at the data center, based on the detected sign of abnormality of the one of the medical robots, warning information including the difference from the reference value on the one of the medical robots to a support center or the one of the medical robots.