Title:
SYSTEMS AND METHODS FOR MACHINE LEARNING CONTROL OF A SURGICAL DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/223258
Kind Code:
A3
Abstract:
A computer-implemented method for control of a surgical device includes accessing raw data captured by a sensor of the surgical device during a procedure, filtering the raw data with a filter, generating a difference data based on a difference between the raw data and the filtered data, generating zero-crossing data based on determining a point in time where an amplitude of the difference data last crossed from a non-zero amplitude value through a zero amplitude value to a non-zero amplitude value of the opposite sign, providing the zero-crossing data as an input to a machine learning classifier, and predicting a probability of an end stop point based on the machine learning classifier. The end stop point includes a point in time where a knife of the surgical device ceases to cut tissue.
Inventors:
MIESSE ANDREW M (US)
SADANANDAN BINESH KUMAR (US)
EVANS CHRISTOPHER K (US)
KNAPP ROBERT H (US)
VASUDEVAN JALAJA NEETHU LEKSHMI (US)
SADANANDAN BINESH KUMAR (US)
EVANS CHRISTOPHER K (US)
KNAPP ROBERT H (US)
VASUDEVAN JALAJA NEETHU LEKSHMI (US)
Application Number:
PCT/IB2023/055128
Publication Date:
January 11, 2024
Filing Date:
May 18, 2023
Export Citation:
Assignee:
COVIDIEN LP (US)
International Classes:
A61B17/072; G06N20/00
Foreign References:
| US20210196269A1 | 2021-07-01 | |||
| US20190201081A1 | 2019-07-04 | |||
| US20100128941A1 | 2010-05-27 | |||
| US20120116416A1 | 2012-05-10 |
Attorney, Agent or Firm:
HUDDY, Marsha et al. (US)
Download PDF:
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