Average Co-Inventor Count = 3.59
ph-index = 19
The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.
Company Filing History:
1. Hypermed Imaging, Inc. (23 from 48 patents)
2. Respiratory Motion, Inc. (13 from 13 patents)
3. Hypermed, Inc. (6 from 6 patents)
4. The United States of America, As Represented by the Secretary, Department of Health and Human Services (3 from 3,539 patents)
5. The General Hospital Corporation (2 from 2,893 patents)
6. Masimo Laboratories, Inc. (2 from 33 patents)
7. Argose, Inc. (1 from 3 patents)
8. Udifi, Inc. (1 from 2 patents)
9. Hyperspectral Imaging, Inc. (1 from 1 patent)
49 patents:
1. 12343130 - Spacing of electrodes for bioimpedance measurements
2. 12121334 - Advanced respiratory monitor and system
3. 12048526 - Devices and methods of calculating and displaying continuously monitored tidal breathing flow-volume loops (TBFVL) obtained by non-invasive impedance-based respiratory volume monitoring
4. 11723542 - Advanced respiratory monitor and system
5. 11654234 - Respiratory parameter guided automated IV administration and IV tube clamp activation
6. 11272889 - Evaluation of respiratory volume monitoring (RVM) to detect respiratory compromise in advance of pulse oximetry and eliminate false desaturation alarms
7. 11129536 - Respiratory early warning scoring systems and methods
8. 11026582 - OxyVu-1 hyperspectral tissue oxygenation (HTO) measurement system
9. 10779773 - Hyperspectral imaging in diabetes and peripheral vascular disease
10. 10702166 - Devices and methods for respiratory variation monitoring by measurement of respiratory volumes, motion and variability
11. 10667717 - Impedance measuring devices and methods for emergency cardiovascular care
12. 10646109 - Device and method of balloon endoscopy
13. 10441186 - Electrode padset
14. D858521 - Virtual reality headset adapted to engage an anesthesia mask
15. 10347020 - Methods and devices for displaying trend and variability in a physiological dataset