Method for error recognition in a control system of a medical treatment and/or diagnosis device
US-9619619-B2 · Apr 11, 2017 · US
US10500728B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10500728-B2 |
| Application number | US-201615373525-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 9, 2016 |
| Priority date | Dec 11, 2015 |
| Publication date | Dec 10, 2019 |
| Grant date | Dec 10, 2019 |
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Disclosed is a medical robot system including medical robots placed at different locations and a data analysis apparatus. Each of the medical robots includes a controller that transmits data on a state of operation of the medical robot to the data analysis apparatus. The data analysis apparatus includes a data analysis unit that generates a reference for determining whether or not the medical robots are normal, based on the data transmitted from the medical robots. The data analysis unit monitors the data transmitted from each of the medical robots in operation based on the reference.
Opening claim text (preview).
The invention claimed is: 1. A medical robot system comprising: medical robots placed at different locations; and a data analysis apparatus in communication with the medical robots over an external network, wherein each of the medical robots comprises a controller and a patient-facing robot capable of surgically accessing a patient under control of the controller, the controller transmitting data of a state of operation of the patient-facing robot to the data analysis apparatus over the external network, the data analysis apparatus comprises a data analysis unit that statistically generates a reference value for determining whether one of the patient-facing robots is normal or abnormal among a population of the medical robots, using the data collected from the controllers of the medical robots as sample data, and the data analysis unit monitors a difference between the data transmitted from the medical robot and the generated reference value, determines whether the difference exceeds a threshold value, and notifies an abnormity when the difference exceeds the threshold value. 2. The medical robot system according to claim 1 , wherein each of the medical robots comprises movable parts, and the controller transmits the data of a state of operation of each of the movable parts to the data analysis apparatus. 3. The medical robot system according to claim 1 , wherein the difference is a difference between the data transmitted from the medical robot in operation and the reference value. 4. The medical robot system according to claim 1 , wherein based on the difference, the data analysis unit generates warning information indicating at least one of an abnormality and a failure of the medical robot, and notifies the warning information to a terminal for the medical robot. 5. The medical robot system according to claim 2 , wherein the data analysis unit generates the reference value based on the data of the states of operation of ones of the movable parts classified as a same type. 6. The medical robot system according to claim 2 , wherein the data analysis unit generates the reference value based on the data of the states of operation of ones of the movable parts that are identical to each other. 7. A data analysis apparatus communicating with medical robots placed at different locations over an external network, each of the medical robots comprising a controller and a patient-facing robot capable of surgically accessing a patient under control of the controller, the data analysis apparatus comprising: a database that stores data of a state of operation of each of the patient-facing robots; and a data analysis unit that statistically generates a reference value for determining whether one of the medical robots are normal or abnormal among a population of the medical robots, using the data collected from the medical robots as sample data, wherein the data analysis unit monitors a difference between the data transmitted from the medical robot and the generated reference value, determines whether the difference exceeds a threshold value, and notifies an abnormity when the difference exceeds the threshold value. 8. The data analysis apparatus according to claim 7 , wherein the database accumulates the data of states of operation of movable parts in each of the medical robots. 9. The data analysis apparatus according to claim 7 , wherein the difference is a difference between the data transmitted from the medical robot in operation and the reference value. 10. The data analysis apparatus according to claim 7 , wherein based on the difference, the data analysis unit generates warning information indicating at least one of an abnormality and a failure of the medical robot, and notifies the warning information to a terminal for the medical robot. 11. The data analysis apparatus according to claim 8 , wherein the data analysis unit generates the reference value based on the data of the states of operation of ones of the movable parts classified as a same type. 12. The data analysis apparatus according to claim 8 , wherein the data analysis unit generates the reference value based on the data of the states of operation of ones of the movable parts that are identical to each other. 13. A medical-robot monitoring method comprising: causing a data analysis apparatus to collect data of a state of operation of each of medical robots placed at different locations over an external network, each of the medical robots comprising a controller and a patient-facing robot capable of surgically accessing a patient under control of the controller; statistically generating a reference value for determining whether one of the medical robots are normal or abnormal among a population of the medical robots, using the data collected from the medical robots as sample data; monitoring a difference between the data transmitted from each of the medical robots and the generated reference value; determining whether the difference exceeds a threshold value; and notifying an abnormity when the difference exceeds the threshold value. 14. The medical-robot monitoring method according to claim 13 , wherein the data analysis apparatus receives the data of states of operation of movable parts in each of the medical robots. 15. The medical-robot monitoring method according to claim 13 , wherein the generating comprises generating the reference value based on a statistical analysis on the data transmitted from the medical robots. 16. The medical-robot monitoring method according to claim 13 , wherein the difference is a difference between the data transmitted from the medical robot in operation and the reference value. 17. The medical-robot monitoring method according to claim 13 , further comprising, based on the difference, generating warning information indicating at least one of an abnormality and a failure of the medical robot, and notifying the warning information to a terminal for the medical robot. 18. The medical-robot monitoring method according to claim 14 , wherein the reference value is generated based on the data of the states of operation of ones of the movable parts classified as a same type. 19. The medical-robot monitoring method according to claim 14 , wherein the reference value is generated based on the data of the states of operation of ones of the movable parts that are identical to each other. 20. The medical robot system according to claim 1 , wherein the medical robots includes first and second medical robots, the first medical robot is installed at a first facility, the second medical robot is installed at a second facility different from the first facility and the data analysis apparatus is installed at a third facility different from the first and second facilities. 21. The medical robot system according to claim 1 , wherein the medical robots includes first and second medical robots, the first medical robot is installed at a first operating room in a facility, the second medical robot is installed at a second operating room in the facility, the second operating room is deferent from the first operating room, and the data analysis apparatus is installed at a room different from the first and second operating rooms in the facility. 22. The medical robot system according to claim 1 , wherein the data analysis unit generates the reference value based on the data received during a predetermined period. 23. The data analysis apparatus according to claim 7 , wherein the data anal
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