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Patente

VeröffentlichungsnummerUSD626562 S1
PublikationstypErteilung
Anmeldenummer29/320,619
Veröffentlichungsdatum2. Nov. 2010
Eingetragen30. Juni 2008
Prioritätsdatum30. Juni 2008
Auch veröffentlicht unterUSD637617, USD637618
Veröffentlichungsnummer29320619, 320619, US D626562 S1, US D626562S1, US-S1-D626562, USD626562 S1, USD626562S1
ErfinderScott Amundson, Keith Batchelder, Mark Brecht
Ursprünglich BevollmächtigterNellcor Puritan Bennett Llc
Nichtpatentzitate (20), Klassifizierungen (1)
Externe Links: USPTO, USPTO-Zuordnung, Espacenet
Triangular saturation pattern detection indicator for a patient monitor display panel
US D626562 S1
Bilder(4)
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Ansprüche
  1. The ornamental design for a triangular saturation pattern detection indicator for a patient monitor display panel, as shown and described.
Beschreibung

FIG. 1 is a perspective view of a triangular saturation pattern detection indicator for a patient monitor display panel shown in the environment of a partially shown pulse oximetry monitor;

FIG. 2 is a front view thereof, shown in the environment of a pulse oximetry monitor, where the triangular indicator is about three quarters full;

FIG. 3 is a front view thereof shown in the environment of a multi-parameter monitor; and,

FIG. 4 is a front view thereof, shown in the environment of a pulse oximetry monitor, where the triangular indicator is about half full.

The broken lines showing the display panel and portion of the patient monitor are for the purpose of illustrating unclaimed portions and form no part of the claimed design.
Nichtpatentzitate
Referenz
1Addison, Paul S., et al.; "A novel time-frequency-based 3D Lissajous figure method and its application to the determination of oxygen saturation from the photoplethysmogram," Institute of Physic Publishing, Meas. Sci. Technol., vol. 15, pp. L15-L18 (2004).
2Barreto, Armando B., et al.; "Adaptive LMS Delay Measurement in dual Blood Volume Pulse Signals for Non-Invasive Monitoring," IEEE, pp. 117-120 (1997).
3Belal, Suliman Yousef, et al.; "A fuzzy system for detecting distorted plethysmogram pulses in neonates and paediatric patients," Physiol. Meas., vol. 22, pp. 397-412 (2001).
4Chan, K.W., et al.; "17.3: Adaptive Reduction of Motion Artifact from Photoplethysmographic Recordings using a Variable Step-Size LMS Filter," IEEE, pp. 1343-1346 (2002).
5Coetzee, Frans M.; "Noise-Resistant Pulse Oximetry Using a Synthetic Reference Signal," IEEE Transactions on Biomedical Engineering, vol. 47, No. 8, Aug. 2000, pp. 1018-1026.
6Cyrill, D., et al.; "Adaptive Comb Filter for Quasi-Periodic Physiologic Signals," Proceedings of the 25th Annual International Conference of the IEEE EMBS, Cancun, Mexico, Sep. 17-21, 2003; pp. 2439-2442.
7Cysewska-Sobusaik, Anna; "Metrological Problems With noninvasive Transillumination of Living Tissues," Proceedings of SPIE, vol. 4515, pp. 15-24 (2001).
8East, Christine E., et al.; "Fetal Oxygen Saturation and Uterine Contractions During Labor," American Journal of Perinatology, vol. 15, No. 6, pp. 345-349 (Jun. 1998).
9Edrich, Thomas, et al.; "Can the Blood Content of the Tissues be Determined Optically During Pulse Oximetry Without Knowledge of the Oxygen Saturation?—An In-Vitro Investigation," Proceedings of the 20th Annual International conference of the IEEE Engie in Medicine and Biology Society, vol. 20, No. 6, p. 3072-3075, 1998.
10Goldman, Julian M.; "Masimo Signal Extraction Pulse Oximetry," Journal of Clinical Monitoring and Computing, vol. 16, pp. 475-483 (2000).
11Johansson A.; "Neural network for photoplethysmographic respiratory rate monitoring," Medical & Biological Engineering & Computing, vol. 41, pp. 242-248 (2003).
12Kaestle, S.; "Determining Artefact Sensitivity of New Pulse Oximeters in Laboratory Using Signals Obtained from Patient," Biomedizinische Technik, vol. 45 (2000).
13Leahy, Martin J., et al.; "Sensor Validation in Biomedical Applications," IFAC Modelling and Control in Biomedical Systems, Warwick, UK; pp. 221-226 (1997).
14Lee, C.M., et al.; "Reduction of motion artifacts from photoplethysmographic recordings using wavelet denoising approach," IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, Oct. 20-22, 2003; pp. 194-195.
15Maletras, Francois-Xavier, et al.; "Construction and calibration of a new design of Fiber Optic Respiratory Plethysmograph (FORP)," Optomechanical Design and Engineering, Proceedings of SPIE, vol. 4444, pp. 285-293 (2001).
16Relente, A.R., et al.; "Characterization and Adaptive Filtering of Motion Artifacts in Pulse Oximetry using Accelerometers," Proceedings of the Second joint EMBS/BMES Conference, Houston, Texas, Oct. 23-26, 2002; pp. 1769-1770.
17Stetson, Paul F.; "Determining Heart Rate from Noisey Pulse Oximeter Signals Using Fuzzy Logic," The IEEE International Conference on Fuzzy Systems, St. Louis, Missouri, May 25-28, 2003; pp. 1053-1058.
18Such, Hans Olaf; "Optoelectronic Non-invasive Vascular Diagnostics Using multiple Wavelength and Imaging Approach," Dissertation, (1998).
19 *Symbol Source Book, by Henry Dreyfuss, Van Nostrand Reinhold Company, New York, NY, © 1972, pp. 26 and 59.
20Todd, Bryan, et al.; "The Identification of Peaks in Physiological Signals," Computers and Biomedical Research, vol. 32, pp. 322-335 (1999).
* Vom Prüfer zitiert
Klassifizierungen
US-KlassifikationD14/489