Current methods for measurement of blood pressure and other vital signs are inefficient. Many measurements of patient vital signs are invasive procedures that are uncomfortable for the patient. Additionally, current methods do not provide for adequate continuous, real-time monitoring of a patient's condition.
Needs exist for improved methods of non-invasive blood pressure measurements.
The present invention determines heart rate and respiration rate through a patient's extremities. Heart rate and respiration rate are determined via an energy spectrum, periodogramor histogram using a time series analysis. The present invention can also measure and monitor other vital signs of a patient. A patient can stand near the device and lean on it, or stand on a piezoelectric pad. A microcomputer provides calculations to determine heart and respiratory rates using signal processing and time series analysis of data.
The heart rate and respiration rate monitoring device of the present invention includes at least one piezoelectric pad or body that contacts a patient's body. The patient can stand near the device and lean on it or stand on the device if it is on the floor. The monitoring device can contact the patient's feet or hands or any other appropriate extremities.
A discretized sensing array is located on a surface of the piezoelectric pad or body. The discretized sensing array collects acoustic, electromechanical or other physiological signals emanating from the patient's body. The discretized sensing array picks up these signals and transmits them as voltage signals from the discretized sensing array to a receiving and computing device. The transmission system can be wire, fiber optic or wireless. The signal can be digitized with an analog-to-digital converter resulting in a digitized voltage versus digitized time signal. The digitized signal can be used to calculate heart rate and respiration rate by means of time frequency analysis or other similar methods, such as autocovariance, fast Fourier transform and other methods.
Once at the computing device, a value for the heart rate and respiration rate of a patient are determined using time frequency analysis or other similar analysis methods.
Additionally, the present invention can incorporate a scale or weighing machine. The patient stands on the piezoelectric pad or body and the patient's weight, heart rate and respiration rate, or any combination thereof, are measured.
These and further and other objects and features of the invention are apparent in the disclosure, which includes the above and ongoing written specification, with the claims and the drawings.
The present invention determines heart rate and respiration rate through a patient's extremities. Heart rate and respiration rate are determined via an energy spectrum, periodogram or histogram using a time series analysis. The present invention can also measure and monitor other vital signs of a patient. A patient can stand near the device and lean on it, or stand on a piezoelectric pad. A microcomputer provides calculations to determine heart and respiratory rates using signal processing and time series analysis of data.
The heart rate and respiration rate monitoring device 1 of the present invention can be seen in
A discretized sensing array 7 is located on a surface of the piezoelectric pad or body 3. The discretized sensing array 7 collects acoustic, electromechanical or other physiological signals emanating from the patient's body 5. The discretized sensing array 7 picks up these signals and transmits them as voltage signals from the discretized sensing array to a receiving and computing device. The transmission system can be wire, fiber optic or wireless. The monitoring system of the present invention provides continuous, real-time measurement and analysis of a patient's heart rate and respiration rate while the patient is in proximity to the sensing device.
Further, the signal can be digitized with an analog-to-digital converter resulting in a digitized voltage versus digitized time signal. The digitized signal can be used to calculate heart rate and respiration rate by means of time frequency analysis or other similar methods, such as autocovariance, fast Fourier transform or other methods.
Once at the computing device, a value for the heart rate and respiration rate of a patient are determined using time frequency analysis methods. Time series data is analyzed to produce energy spectra for each location that the patient's body contacts the discretized sensing array 7. This data is then used to determine heart rate, respiration rate or other vital signs.
Additionally, the present invention can incorporate a scale or weighing machine. The patient 5 stands on the piezoelectric pad or body 3, and the patient's weight, heart rate and respiration rate, or any combination thereof, are measured.
While the invention has been described with reference to specific embodiments, modifications and variations of the invention may be constructed without departing from the scope of the invention, which is defined in the following claims.
This application claims the benefit of U.S. Provisional Application No. 60/482,436 filed Jun. 26, 2003.
Number | Name | Date | Kind |
---|---|---|---|
3926177 | Hardway, Jr. et al. | Dec 1975 | A |
3996922 | Basham | Dec 1976 | A |
4033332 | Hardway, Jr. et al. | Jul 1977 | A |
4320766 | Alihanka et al. | Mar 1982 | A |
4438771 | Friesen et al. | Mar 1984 | A |
4513748 | Nowogrodzki et al. | Apr 1985 | A |
RE32180 | Lewiner et al. | Jun 1986 | E |
4657026 | Tagg | Apr 1987 | A |
4686999 | Snyder et al. | Aug 1987 | A |
4889131 | Salem et al. | Dec 1989 | A |
5002060 | Nedivi | Mar 1991 | A |
5448996 | Bellin et al. | Sep 1995 | A |
5479932 | Higgins et al. | Jan 1996 | A |
5590650 | Genova | Jan 1997 | A |
5620003 | Sepponen | Apr 1997 | A |
5684460 | Scanlon | Nov 1997 | A |
5807267 | Bryars et al. | Sep 1998 | A |
5911158 | Henderson et al. | Jun 1999 | A |
5964720 | Pelz | Oct 1999 | A |
6047203 | Sackner et al. | Apr 2000 | A |
6375621 | Sullivan | Apr 2002 | B1 |
6547743 | Brydon | Apr 2003 | B2 |
6702752 | Dekker | Mar 2004 | B2 |
20040111045 | Sullivan et al. | Jun 2004 | A1 |
Number | Date | Country |
---|---|---|
2252827 | Aug 1982 | GB |
2138144 | Oct 1984 | GB |
2166871 | May 1986 | GB |
WO 03087737 | Sep 2003 | WO |
Number | Date | Country | |
---|---|---|---|
60482436 | Jun 2003 | US |