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| 국가/구분 | United States(US) Patent 등록 |
|---|---|
| 국제특허분류(IPC7판) |
|
| 출원번호 | US-0471340 (2012-05-14) |
| 등록번호 | US-8845543 (2014-09-30) |
| 발명자 / 주소 |
|
| 출원인 / 주소 |
|
| 대리인 / 주소 |
|
| 인용정보 | 피인용 횟수 : 0 인용 특허 : 471 |
A method and an apparatus to analyze two measured signals that are modeled as containing desired and undesired portions such as noise, FM and AM modulation. Coefficients relate the two signals according to a model defined. The method and apparatus are particularly advantageous to blood oximetry and
A method and an apparatus to analyze two measured signals that are modeled as containing desired and undesired portions such as noise, FM and AM modulation. Coefficients relate the two signals according to a model defined. The method and apparatus are particularly advantageous to blood oximetry and pulserate measurements.
1. A noninvasive physiological monitor comprising: a first input for receiving an output waveform from a detector responsive to light attenuated by body tissue, the output waveform including at least a first waveform corresponding to a first wavelength of light attenuated by body tissue and a second
1. A noninvasive physiological monitor comprising: a first input for receiving an output waveform from a detector responsive to light attenuated by body tissue, the output waveform including at least a first waveform corresponding to a first wavelength of light attenuated by body tissue and a second waveform corresponding to a second wavelength of light attenuated by the body tissue; anda signal processor configured to transform said first and second waveforms into spectral domain waveforms, the signal processor further configured to distinguish motion artifacts, classify portions of the spectral domain waveforms by at least matching a set of peaks in the spectral domain waveforms to one of a plurality of cases, and select spectral data from the spectral domain waveforms based on the classification and predetermined criteria, the signal processor further configured to determine a physiological indication of the patient based on the selected spectral data. 2. The noninvasive physiological monitor of claim 1, wherein the physiological indication is pulse rate. 3. The noninvasive physiological monitor of claim 1, wherein the criteria is largest spectral peak. 4. The noninvasive physiological monitor of claim 1, wherein the criteria is a peak with corresponding harmonics. 5. The noninvasive physiological monitor of claim 1, wherein the criteria is a spectral peak in a predetermined range. 6. The noninvasive physiological monitor of claim 1, wherein the processor is further configured to at least partially remove the motion artifacts artifact. 7. The noninvasive physiological monitor of claim 1, wherein the selecting of the spectral data is performed using a plurality of rules. 8. The noninvasive physiological monitor of claim 1, wherein classifying comprises pattern matching. 9. A method of determining physiological information noninvasively based on optical measurements, the method comprising: receiving, from a detector, a waveform indicative of tissue attenuated light detected by the detector, the waveform including at least a first waveform corresponding to a first wavelength of light attenuated by body tissue and a second waveform correspond to a second wavelength of light attenuated by the body tissue;transforming said first and second waveforms into spectral domain waveforms using a processor, said transforming comprising distinguishing motion artifacts, classifying portions of the spectral domain waveforms by at least matching a set of peaks in the spectral domain waveforms to one of a plurality of cases, and selecting spectral data from the spectral domain waveforms based on the classification and predetermined criteria; anddetermining, using the processor, a physiological indication of the patient based on the selected spectral data. 10. The method of claim 9, wherein the physiological indication is pulse rate. 11. The method of claim 9, wherein the criteria is largest spectral peak. 12. The method of claim 9, wherein the criteria is a peak with corresponding harmonics. 13. The method of claim 9, wherein the criteria is a spectral peak in a predetermined range. 14. The method of claim 9, wherein the processor is further configured to at least partially remove the motion artifacts. 15. The method of claim 9, wherein the selecting of the spectral data is performed using a plurality of rules. 16. The method of claim 9, wherein classifying comprises pattern matching.
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