Niranjan Chakravarthy
53Patents
8h-index
24Co-inventors
74Inventor score
Filing activity: Sep 9, 2010 → Apr 29, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8473047B2 | Multifrequency bioimpedence device and related methods | Human Necessities | 200 | Active |
| US8790259B2 | Method and apparatus for remote detection and monitoring of functional chronotropic incompetence | Human Necessities | 185 | Active |
| US10143395B2 | System and method for cardiac monitoring using rate-based sensitivity levels | Human Necessities | 75 | Active |
| US9706938B2 | System and method to determine premature ventricular contraction (PVC) type and burden | Physics | 51 | Active |
| US8965498B2 | Method and apparatus for personalized physiologic parameters | Human Necessities | 40 | Active |
| US10321823B2 | System and method to flag arrhythmia episodes for urgent review | Human Necessities | 38 | Active |
| US9173615B2 | Method and apparatus for personalized physiologic parameters | Human Necessities | 17 | Active |
| US9636069B2 | System and method for monitoring and classifying atrial fibrillations | Human Necessities | 17 | Active |
| US9314178B2 | Cardiac signal recording using dynamically generated detection thresholds | Human Necessities | 7 | Active |
| US11355244B2 | Machine learning based depolarization identification and arrhythmia localization visualization | Physics | 6 | Active |
| US9554725B2 | Medical device and methods of monitoring a patient with renal dysfunction | Human Necessities | 5 | Active |
| US9687165B2 | Apparatus and method for electrocardiographic monitoring | Human Necessities | 4 | Active |
| US11443852B2 | Reduced power machine learning system for arrhythmia detection | Physics | 4 | Active |
| US10130306B2 | Apparatus and method for detection of sleep disordered breathing | Human Necessities | 4 | Active |
| US10123745B1 | Apparatus and method for cardiac signal noise detection and disposition based on physiologic relevance | Human Necessities | 4 | Active |
| US10292611B2 | System and method for onset/offset capture | Human Necessities | 3 | Active |
| US11357452B2 | System and method of patient monitoring and signal quality analysis | Human Necessities | 3 | Active |
| US11723577B2 | Visualization of arrhythmia detection by machine learning | Human Necessities | 3 | Active |
| US11617533B2 | Visualization of arrhythmia detection by machine learning | Human Necessities | 2 | Active |
| US11583687B2 | Selection of probability thresholds for generating cardiac arrhythmia notifications | Human Necessities | 2 | Active |
| US11998303B2 | Sensing respiration parameters based on an impedance signal | Human Necessities | 2 | Active |
| US11694804B2 | Reduced power machine learning system for arrhythmia detection | Physics | 2 | Active |
| US11475998B2 | Data preparation for artificial intelligence-based cardiac arrhythmia detection | Human Necessities | 1 | Active |
| US10159423B2 | System and method for cardiac monitoring using adaptive sensitivity/specificity levels | Physics | 1 | Active |
| US9615757B2 | Method and apparatus for remote detection and monitoring of functional chronotropic incompetence | Human Necessities | 1 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.