Patents
US 11651672 B2: System and method for Alzheimer's disease risk quantification utilizing interferometric micro-doppler radar and artificial intelligence
- Granted
- 2023-05-16
- Filed
- 2022-11-22 application 17992722
- Type
- Utility · 20 claims
- Elsewhere
- Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗
Abstract
A system and method for quantifying Alzheimer's disease (AD) risk using one or more interferometric micro-Doppler radars (IMDRs) and deep learning artificial intelligence to distinguish between cognitively unimpaired individuals and persons with AD based on gait analysis. The system utilizes IMDR to capture signals from both radial and transversal movement in three-dimensional space to further increase the accuracy for human gait estimation. New deep learning technologies are designed to complement traditional machine learning involving separate feature extraction followed-up with classification to process radar signature from different views including side, front, depth, limbs, and whole body where some motion patterns are not easily describable. The disclosed cross-talk deep model is the first to apply deep learning to learn IMDR signatures from two perpendicular directions jointly from both healthy and unhealthy individuals. Decision fusion is used to integrate classification results from feature-based classifier and deep learning AI to reach optimal decision.
Source: PVGPATDIS, file of 2026-04-10 (ipg230516.xml).
Assignees
| Assignee | Type | Place | Also on furp.org | Source |
|---|---|---|---|---|
| MS TECHNOLOGIES 253 patents | US company or organization | Rockville, MD | PVGPATDIS, file of 2026-04-10 |
Inventors
| Inventor | Place | Patents | Person page | Source |
|---|---|---|---|---|
| Shuchuan Jack Cheng | Potomac, MD | 3 | PVGPATDIS, file of 2026-04-10 | |
| Yuan-Ming Fleming Lure | Potomac, MD | 4 | PVGPATDIS, file of 2026-04-10 |
CPC categories
| Subclass | Category | First group | Source |
|---|---|---|---|
| A61B | Diagnosis; surgery; identification | A61B5/4088 | PVGPATDIS, file of 2026-04-10 |
| G08B | Signalling systems, e.g. personal calling systems; order telegraphs; alarm systems | G08B21/043 | PVGPATDIS, file of 2026-04-10 |
| G01S | Radio direction-finding; radio navigation; determining distance or velocity by use of radio waves; locating or presence-detecting by use of the reflection or reradiation of radio waves; analogous arrangements using other waves | G01S13/62 | PVGPATDIS, file of 2026-04-10 |
| G06N | Computing arrangements based on specific computational models | G06N3/044 | PVGPATDIS, file of 2026-04-10 |
| G06V | Image or video recognition or understanding | G06V10/774 | PVGPATDIS, file of 2026-04-10 |
| G16H | Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the handling or processing of medical or healthcare data | G16H10/60 | PVGPATDIS, file of 2026-04-10 |
Cooperative Patent Classification, as currently assigned (one row per subclass).
Assignments and security interests
| Recorded | What | From | To | Reel/frame | Source |
|---|---|---|---|---|---|
| 2023-03-17 | Assignment Assignment of assignor's interest | CHENG, SHUCHUAN JACK signed 2022-06-10 LURE, YUAN-MING FLEMING signed 2022-06-10 | MS TECHNOLOGIES ROCKVILLE, MD | 63021/152 | ECORSEXC, file of 2026-09-25 |
Documents recorded with the USPTO Assignment Recordation Branch that list this patent. A security interest is a lender’s claim on the patent as collateral; a release ends it.
USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.