System and method for determining information and outliers from sensor data
US10743819B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2016 |
| Grant date | Aug 18, 2020 |
| Priority date | — |
| Expiry date | Oct 31, 2036 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B5/7264
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The present subject matter discloses a system and a method for identifying information from sensor data in a sensor agnostic manner. The system may receive sensor data provided by a sensor and may determine statistical features of the sensor data. The system may determine signal dynamics of the sensor data based on at least one of the statistical features, signal processing features, and a data distribution model. The system may select at least one outlier class based on the signal dynamics, number of streams of the sensor data, and dimensions of the sensor data. The system may select at least one outlier detection method associated with an outlier class for detecting outliers in the sensor data. The system may determine information content of the sensor data based on the outliers, the signal dynamics, the statistical features, and information theoretic features, and similarity or dissimilarity measure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.