WO2015164810A1 - Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content - Google Patents
Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content Download PDFInfo
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- WO2015164810A1 WO2015164810A1 PCT/US2015/027628 US2015027628W WO2015164810A1 WO 2015164810 A1 WO2015164810 A1 WO 2015164810A1 US 2015027628 W US2015027628 W US 2015027628W WO 2015164810 A1 WO2015164810 A1 WO 2015164810A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves using microwaves or terahertz waves
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02444—Details of sensor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4875—Hydration status, fluid retention of the body
- A61B5/4878—Evaluating oedema
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/6804—Garments; Clothes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/12—Manufacturing methods specially adapted for producing sensors for in-vivo measurements
- A61B2562/125—Manufacturing methods specially adapted for producing sensors for in-vivo measurements characterised by the manufacture of electrodes
Definitions
- This U.S. patent application relates to a novel non-invasive microwave stethoscope employed as a vital signs sensor that can simultaneously measure and extract multiple vital signs parameters including the heart rate, respiration rate, heart waveform, and changes in lung water content from a single microwave measurement.
- a microwave stethoscope has been proposed as an integrated, multipurpose, low-cost, and non-invasive microwave sensor for making multiple VS measurements in addition to LWC from a single microwave measurement, as described by N. Celik, R. Gagarin, H. S. Youn, and M. F.
- Iskander "A Non-Invasive microwave sensor and signal processing technique for continuous monitoring of vital signs," IEEE Antennas and Wireless Propagation Letters, vol. 10, pp. 286-289, February 2011; R. Gagarin, N. Celik, H. S. Youn, and M. F. Iskander, "Microwave Stethoscope: A New Method for Measuring Human Vital Signs," in 2011 APS-URSI International Conference, Spokane, Wash., July 2011; N. Celik, R. Gagarin, H. S. Youn, J. Baker, and M. F. Iskander, "On the development of a low-cost real-time remote patient monitoring system using a novel non-invasive microwave vital signs sensor," in IEEE ICWIT Conference, Honolulu, 2010.
- the proposed microwave stethoscope was based on microwave reflection coefficient measurements on a patient's chest.
- the microwave sensor was previously used for LWC measurements using transmission coefficients across the thorax.
- Studies using animals and isolated lung experiments have validated the feasibility, sensitivity and accuracy of the transmission coefficient measurements in detecting the changes in LWC.
- the measured transmission coefficient includes additional VS data such as heartbeat and respiration.
- a multi-purpose sensor capable of measuring multiple VS through a single measurement was developed.
- An integrated system that includes the sensor and a novel digital signal processing (DSP) algorithm was used to extract multiple VS such as respiration rate (RR), respiration amplitude (RA), heart rate (HR), and the heart-beat amplitude (HA) in addition to LWC.
- DSP digital signal processing
- microwave measurements based on transmission coefficients have required two properly aligned microwave sensors placed front-to-back across the thorax.
- Pulsed signal systems were proposed but complicated the systems design and associated DSP algorithms. Maintaining front-to-back sensor alignment also presented problems. In some animal experiments, x-ray images were employed for alignment of the transmission and receiver sensors. The front-to-back transmission approach thus limited the implementation and practical use of microwave measurement technology.
- Microwave measurements based on use of a single sensor placed on a patient's chest for transmission and reception of reflection signals were found to provide insufficient signal information.
- the reflection measurement approach was found to be very insensitive to changes in lung water content and heart related changes vital signs. Reflection signals are dominated by reflection at the surface tissue layers and hence lack sensitivity to desired monitoring of vital signs and changes in lung water content.
- a microwave stethoscope measurement method and sensor apparatus employ a microwave transmission sensor and a microwave reception sensor placed on a patient's chest in spaced-apart side-by-side configuration for monitoring patient vital signs and lung water content and other critical measurements.
- the transmission sensor has a coplanar waveguide structure with a conductive ground plane and a center microline strip in a central aperture of the ground plane that is carried on a substrate.
- the reception sensor may be of the same design as the transmission sensor.
- the side -by-side sensors are spaced apart a separation distance of about 1-3 cm between sensors and are spaced apart in lateral chest orientation.
- a preferred placement location is over the bottom portion of the left lung of a patient near the bottom left of the sternum between left ribs 6 and 7.
- a preferred frequency range for the microwave signal is from about 700 MHz to 1.5 GHz, with an optimal range in the FCC allocated frequencies of 915 MHz and 920 MHz for medical and industrial applications (ISM band). It is found advantageous to use broadband sensors and multi-frequency measurements to better identify and possibly separate the various signals as the signal coefficients can be measured simultaneously at multiple frequencies and enables monitoring of a patient's body at various penetration depths and eliciting maximum medical information.
- the side -by-side transmission-reception method combines the advantages of signal quality of front-to-back transmission as well as the simplicity of the reflection coefficient of a single reflection sensor. For optimum side-by-side transmission measurements, it is critically important that the sensors couple the electromagnetic (EM) energy effectively to the human body at the contact areas and with minimal leakage around the body.
- EM electromagnetic
- Sensor design improvements also include textile fabrication of the sensor for wearer comfort and to improve contact with the patient's skin.
- a textile sensor is comprised of conductive steel thread embroidered with nylon thread on a felt fabric, and a coaxial cable is sewn to the back of the ground plane and the center transmission line through the felt using conductive thread.
- a cloth patch is sewn onto the back of the sensor to minimize twisting of the cable.
- DSP digital signal processing
- STFT short time Fourier Transform
- RR respiration rate
- LWC lung water content
- HR heart rate
- the microwave sensor measurements may thus be used for extraction of monitoring data on vital signs (VS) and other critical parameters such as lung water content (LWC), stroke volume (SV) and cardiac output. Improvements in continuous or remote monitoring of patient VS, LWC, and other critical medical information are also provided by delivering microwave sensor output data for monitoring displays on mobile devices such as smartphones.
- FIG. 1 is a schematic diagram illustrating a cardio-pulmonary (CP) microwave stethoscope measurement method and device configuration in accordance with the present invention.
- CP cardio-pulmonary
- FIG. 2 illustrates conversion of the returned microwave measurement signal into various critical measurement displays provided by the system.
- FIG. 3 shows the transmission Sensor- 1 and reception Sensor-2 carried on a substrate in side-by-side configuration.
- FIG. 4 shows a preferred example of the microwave transmission sensor with an adapter connector to a feeder coaxial cable.
- FIG. 5 shows an alternative structure for the microwave transmission sensor with a direct coaxial cable feeding structure.
- FIG. 6 shows the transmission and reception sensors mounted in side-by-side configuration in contact with the patient's chest.
- FIG. 7 shows simulation results of microwave sensitivity to changes in lung water content in lung tissue to predict lung water distribution.
- FIGS. 8A-8D show a comparison of experimental results of transmission coefficient measurements, for magnitude, phase, heart, and respiration, respectively, between sensors in front-to-back (FB) configuration and side-by- side (SS) configuration.
- FIGS. 9A-9D show a comparison of experimental results of transmission coefficient measurements, for magnitude, phase, heart, and respiration, respectively, between sensors in reflection (single sensor) configuration and side-by- side (SS) configuration.
- FIGS. 10A-10D show a comparison of experimental results of transmission coefficient measurements, for magnitude, phase, heart, and respiration, respectively, between sensors in side-by-side (SS) configuration with a distance between sensors of 1 cm, 2 cm, and 15 cm.
- SS side-by-side
- FIG. 11A shows a plan view and FIG. 11B shows in a cross-sectional view of a preferred design for a textile sensor for microwave sensor measurement.
- FIGS. 12A-12C show a comparison of experimental results of transmission coefficient measurements, for breathing, heartbeat, and respiration, respectively, for microwave measurement using the textile sensor design, and FIG. 12D shows calculated respiration and heart rates.
- FIG. 13 shows a logic diagram for organizing CPS extracted medical information for display on a smartphone.
- FIG. 1 a schematic diagram illustrates a cardio-pulmonary (CP) microwave stethoscope measurement method and device configuration employing a paired sensor array comprised of a microwave transmission Sensor- 1 and a microwave reception Sensor-2 placed on a patient's chest in spaced-apart side-by-side configuration for taking integrated vital signs (VS) and lung water content (LWC) and other critical measurements.
- a radio-frequency (RF) module 10 is used to send a microwave signal to the transmission Sensor- 1 which transmits the signal through the skin and tissues of the thorax in position at a patient heart-lung location, and receives a returned microwave signal at the reception Sensor- 2 which is returned to the RF module 10.
- RF radio-frequency
- the signal transmission and reception is controlled by a microcontroller 12 which may be incorporated with or in a separate unit from the RF module 10.
- the microcontroller 12 includes an analog-to-digital (ND) signal converter, and digital signal processing (DSP) capability for analyzing the returned microwave signal and converting it to vital signs (VS), lung water and other critical measurements.
- a wireless (e.g., Bluetooth) communication capability is provided to send output data by wireless transmission to a display 20.
- the display 20 may be a smartphone display operated by a client display application (smartphone app).
- FIG. 2 illustrates conversion of the returned measurement signal into various critical measurement displays provided by the system, such as Lung Water (rad), Respiration (BrPM), Heartbeat (BPM), and Stroke Volume displays.
- FIG. 3 shows a microwave transmission Sensor- 1 and reception Sensor-2 embedded on patch substrates 34 in side -by-side configuration on a base layer 35 for mounting them on the skin on a patient's chest.
- a preferred design for the transmission Sensor- 1 is a coplanar waveguide structure with a center microline strip in a central aperture that is carried on a substrate.
- the reception Sensor-2 may be of the same design as the transmission Sensor- 1 or have a modified design.
- the two sensors are spaced apart by a spacing distance D, which is chosen to minimize electromagnetic (EM) coupling between the proximate conductive edges of the sensors and to maximize signal-to-noise ratio (SNR) of the returned signal.
- An optimum separation distance D for the preferred embodiments described herein is about 1-3 cm. Larger separations are found to result in weaker signals (low SNR) and closer separations result is a strong electromagnetic (EM) coupling between the sensors and reduces sensitivity to vital signs and changes in lung water content.
- EM electromagnetic
- FIG. 4 shows a preferred example for the transmission sensor having a coaxial cable feed 33 a connected to a microstrip center conductor 31 positioned in a central aperture of and terminating in a resistive (e.g. 50 ohm) termination 36 in electrical contact with a metal conductor ground plane 32.
- the sensor is shown with length-width dimensions of 34 mm> ⁇ 32 mm for illustration.
- FIG. 5 shows an alternative structure for the transmission sensor having an adapter (SMA) connector for a coaxial cable connection to the microstrip center conductor 31.
- SMA adapter
- FIG. 6 shows the transmission and reception sensors mounted in side-by-side configuration in contact with the patient's chest.
- the microwave transmission sensor has a coplanar waveguide structure that is fabricated on a flexible substrate.
- a preferred frequency range is from 700 MHz to 1.5 GHz, with an optimal range in the FCC allocated frequencies of 915 MHz and 920 MHz for medical and industrial applications (ISM band).
- ISM band medical and industrial applications
- simulation results from an anatomically realistic human body model indicated that microwave sensitivity to changes in lung water content in a specific region of lung tissue can help to predict lung water distribution.
- a first paired-sensor unit of Sensors 1 and 2 was positioned over a bottom portion of the model's left side lung, and a second paired-sensor unit of Sensors 3 and 4 was positioned over a top portion of the lung. Water was added (5 cc per minute, 25 cc total) into the bottom portion of the model's lung, while the top portion was kept constant (no increase).
- the graph in the figure shows transmission coefficient measurement (S21) on the bottom portion of the lung (from Sensor- 1 and Sensor-2) having greater sensitivity to changes in the water content compared to the transmission coefficient measurement (S43) on the top portion of the lung (from Sensor-3 and Sensor-4).
- the simulation results showed a correlation between increasing amplitude in the phase of transmission coefficient between Sensors 1 and 2 and increasing fluid lower volume where lung water was increased by up to 25% over normal.
- FIGS. 8A-8D show a comparison of experimental results of transmission coefficient measurements, for magnitude, phase, heart, and respiration, respectively, between sensors in front-to-back (FB) configuration and side-by-side configuration (with 1 cm sensor spacing). Transmission and reception microwave sensors in side-by-side configuration were placed over the bottom portion of the left lung of a patient near the bottom left of the sternum between left ribs 6 and 7.
- FIG. 8A shows that signal magnitude measured by the SS sensors (lighter line) tracked well compared to that measured by the FB sensors (darker line). The FB case had larger signal attenuation by about -20 dB.
- FIG. 8B shows that signal phase measured by the SS sensors also tracked well compared to the FB sensors.
- the FB case had less consistent fluctuations making it more difficult to extract vital signs and lung water content.
- the heart rate waveforms in FIG. 8C show that it was more difficult to identify signal from noise in the FB case, whereas the SS case was more consistent.
- the respiration rate waveforms in FIG. 8D show that the FB waveform had lower signal-to-noise ration (SNR) making it more difficult to identify waveform peaks in the FB waveform.
- SNR signal-to-noise ration
- FIGS. 9A-9D show a comparison of experimental results of transmission coefficient measurements, for magnitude, phase, heart, and respiration, respectively, between sensors in refiection (single sensor, Sl l waveform) configuration and side-by-side (SS) configuration (S21 waveform).
- FIGS. 9 A and 9B show that the S21 waveform in the SS case had greater phase amplitude (by 10-15 deg) compared to the Sl l waveform in the refiection sensor case by less than 5 degrees.
- the Sl l waveform was also more susceptible to noise by more than 5 degrees.
- FIG. 9C shows that the S21 case had a bigger amplitude (8-10 deg) of the Heart Waveform compared to the SI 1 case (1-2 deg).
- the refiection coefficient measurement approach was found to be very insensitive to changes in lung water content and heart-related changes in vital signs.
- the reflected signal is dominated by reflection at the surface tissue layers and hence lack sensitivity to desired monitoring of vital signs and changes in lung water content.
- the side -by-side transmission method therefore, combines advantages of both the front-to-back transmission approach (monitoring of changes in deep tissue layers) as well as the simplicity of the refiection coefficient approach (no need for critical alignment of sensors).
- FIGS. 10A-10D show a comparison of experimental results of transmission coefficient measurements, for magnitude, phase, heart, and respiration, respectively, between sensors in side-by-side (SS) configuration with a distance between sensors of 1 cm, 2 cm, and 15 cm.
- the results overall showed a larger attenuation in signal (lower SNR) as the distance between the sensors increased.
- the 15 cm case had the largest attenuation at -48 dB, and the smallest phase amplitude (less than 10 deg).
- the 15 cm case also had the smallest phase amplitude of the heart waveform (4 deg) compared to the 1 cm and 2 cm cases ( ⁇ 6 deg).
- the side-by-side sensor configuration can be further optimized with adjustments in electromagnetic energy coupler design, including good impedance match between the microwave feed and sensor, better energy distribution along the area of contact, insensitivity to human movement, and broadband characteristics.
- a novel textile sensor design is provided for greater convenience of use and wearability to the patient.
- the textile sensor design can be used for the above-described microwave sensor monitoring of vital signs (VS) such as respiration rate (RR), heart rate (HR), stroke volume (SV) and changes in lung water content (LWC).
- VS vital signs
- RR respiration rate
- HR heart rate
- SV stroke volume
- LWC lung water content
- coaxial cable, RG178 was sewn to the back of the ground plane and the center transmission line through the felt using the 2-ply conductive thread used for the embroidery.
- the center conductor of the cable is thin and prone to breaking at the junction between the cable and the center transmission line, so a cloth with adhesive patch was ironed and sewn onto the back of the sensor to minimize the twisting of the cable.
- the fabricated textile sensor is shown in plan view FIG. 11 A and in cross-sectional view in FIG. 1 IB.
- the sensor center conductor and ground plane are formed by steel thread embroidered on a felt, which is sewn by nylon thread to a cotton fabric base layer having a lower adhesive layer for mounting on the skin of the patient.
- a coaxial cable feed is sewn into the cotton fabric base layer and connected to the steel thread center conductor and ground plane.
- a preferred placement location for the sensors in side-by-side configuration is over the bottom portion of the left lung of a patient near the bottom left of the sternum between left ribs 6 and 7.
- Stretchable fabric tape may be used to stabilize the contact of the sensors to the skin.
- the embroidered design results in the sensors being slightly raised from the fabric tape layer so as to maintain sufficient skin contact and therefore eliminating the need for conducting gel between the skin and the sensor.
- FIGS. 12A-12C show a comparison of experimental results of transmission coefficient measurements, for breathing, heartbeat, and respiration, respectively, for microwave measurement using the textile sensor design
- FIG. 12D shows calculated respiration and heart rates.
- the experimental results showed that VS measurements, such as RR, HR and SV, can be noninvasively measured using textile-based embroidered microwave sensors and indicated that the sensors were well coupled to the human body with minimal reflection of the microwave signal.
- Application of bandpass (BP) filtering and peak detection on the measured phase waveforms enabled accurate calculation of the vital signs.
- Measured values of the RR, HR and SV from the textile sensors were in close correlation to the values measured by the commercial Propaq LT ECG sensor and the mean arterial method from the blood pressure cuff.
- Measurements with the textile sensors also validated sensitivity to detecting accumulation LWC from a single microwave measurement.
- the electromagnetic energy coupler design can be optimized for key factors, including good impedance match between the feed and the sensor, better energy distribution along the area of contact, insensitivity to human movement, and broadband characteristics. Measurements with the textile sensor design compared favorably with existing commercially-available, FDA-approved devices.
- the textile sensor can be incorporated into the chest area of wearable clothing, such as a T-shirt for males and a bra for females, for continuous and/or remote patient monitoring.
- the measured heartbeat waveform included multiple peaks similar to an EKG like signal, depending on the location of the sensor on the chest.
- the HR extracted by the previously described STFT method becomes slightly off compared to the actual rates due to harmonics of the heartbeat signal.
- a modification in the DSP algorithm is implemented.
- the residual signal is band-pass filtered (3 dB passband of 0.7 Hz to 5 Hz) to isolate the heartbeat waveform.
- a threshold based peak detection algorithm is used that selects the highest peaks in each heartbeat and ignores smaller ones. To select the highest peaks, the ratio of each detected peak to the largest peak in a 10 second window is calculated and peaks that have a smaller ratio than the threshold value of 0.5 are omitted.
- the HR is calculated by counting the number of peaks in 10-second intervals.
- FIGS. 12A-12D Employing the side -by-side transmission sensor method and design, the DSP VS and LWC extraction results from pre-clinical human trials are illustrated in FIGS. 12A-12D.
- the cardio-pulmonary microwave sensor can also be used to monitor patient cardiac conditions such as changes in stroke volume and cardiac output.
- Microwave phase signals can be processed by applying band pass filtering techniques and delineating peak and valley points of the microwave phase signals using a combination of techniques as described by N. Celik, et al, "A Non-Invasive Microwave Sensor and Signal Processing Technique for Continuous Monitoring of Vital Signs," IEEE, February 2011, Antennas and Wireless Propagation Letters, Vol. 10, pp. 286-289; B. N. Li, M. C. Dong and M. I. Vai, "On an automatic delineator for arterial blood pressure waveforms," Biomedical Signal Processing and Control, 2009; J. X. Sun, A. T. Reisner, M. Saeed and R. G. Mark, "Estimating cardiac output from arterial blood pressure waveforms, a critical evaluation using the MIMIC II database," Computers in Cardiology, vol. 32, pp. 295-298, 2005.
- a linear trend is subtracted from the phase data and the DC mean is removed from the signals.
- the waveform is normalized to the same scale as a comparative arterial blood pressure (ABP) waveform.
- a moving average filter of window length (such as 10) is applied to the signal to remove some high frequency components and for efficient detection of peak and valley points.
- fiducial points such as peak and valley, are detected in the signal.
- the peak-to-peak distance or interval is equivalent to the respiration rate (RR) interval of EKG signals.
- the microwave sensor measurements were found to have significant correlation to arterial blood pressure waveforms. Changes in microwave sensor measurements were found to be proportional to the amount of blood pumped by the heart during each cycle or impulse, and therefore can be used to non- invasively measure cardiac parameters such as stroke volume and cardiac output.
- FIG. 13 shows a logic diagram for organizing CPS extracted medical information for display on a smartphone.
- the I data and Q data from the pair of sensors for side- by-side microwave transmission are collected.
- the analog format of the data is converted to digital format (ADC) for digital signal processing (DSP) such as described above.
- the converted digital data are collected into arrays such as the above- described blocks of 10 peak windows.
- the raw data are subjected to digital signal processing (DSP) such as described above to extract calculated measurements such as for vital signs (VS), lung water content (LWC), stroke volume, etc., as described above.
- DSP digital signal processing
- results are transmitted wirelessly such as by Bluetooth protocol to a mobile device such as a smartphone for portable display of the results for patient monitoring.
- the results may also be transmitted wirelessly such as by wireless data protocol to a remote smartphone of a doctor or medical technician for remote patient monitoring.
- the disclosed microwave stethoscope measurement method and sensor design configuration is capable of accurately monitoring a patient's vital signs (VS) as well as other clinically important parameters such as changes in lung water content (LWC).
- the microwave transmission sensor and reception sensor in spaced-apart side -by-side configuration combines the advantages of signal quality of front-to-back transmission as well as the simplicity of the reflection coefficient of a single reflection sensor.
- Sensor design improvements also include textile fabrication of the sensor for wearer comfort and to improve contact with the patient's skin.
- DSP digital signal processing
- STFT short time Fourier Transform
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AU2015249257A AU2015249257B2 (en) | 2013-04-26 | 2015-04-24 | Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content |
CA2946892A CA2946892A1 (en) | 2013-04-26 | 2015-04-24 | Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content |
EP15782448.3A EP3133992A4 (en) | 2014-04-25 | 2015-04-24 | Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content |
JP2016564187A JP2017513635A (en) | 2013-04-26 | 2015-04-24 | Microwave stethoscope for measuring cardiopulmonary vital signs and lung water content |
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US201461932958P | 2014-01-29 | 2014-01-29 | |
US14/261,884 | 2014-04-25 | ||
US14/261,884 US9526438B2 (en) | 2013-04-26 | 2014-04-25 | Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3613341A4 (en) * | 2017-04-19 | 2020-12-30 | The School Corporation Kansai University | Biological information estimation device |
Families Citing this family (9)
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US9526438B2 (en) * | 2013-04-26 | 2016-12-27 | University Of Hawaii | Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content |
US10856806B2 (en) * | 2015-02-12 | 2020-12-08 | University Of Hawaii | Lung water content measurement system and calibration method |
EP3319510B1 (en) | 2015-07-08 | 2020-05-13 | The Johns Hopkins University | Tissue ablation and assessment |
EP3398510A1 (en) * | 2017-05-04 | 2018-11-07 | Koninklijke Philips N.V. | System and method for dynamic focusing on the heart and/or lungs by frequency tuning and analysis of impedance phase and/or magnitude variations |
JPWO2021066002A1 (en) * | 2019-09-30 | 2021-04-08 | ||
JPWO2021066003A1 (en) * | 2019-09-30 | 2021-04-08 | ||
WO2021066004A1 (en) * | 2019-09-30 | 2021-04-08 | テルモ株式会社 | Cardiac output measurement device |
EP4326148A1 (en) * | 2021-04-23 | 2024-02-28 | Shifamed Holdings, LLC | Systems and methods for measuring extravascular lung water |
CN113368403B (en) * | 2021-06-24 | 2022-01-04 | 深圳市恒康泰医疗科技有限公司 | Intelligent physiotherapy system capable of improving cardio-pulmonary function |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020071570A1 (en) * | 2000-12-07 | 2002-06-13 | Gerard Cohen | Hybrid structure |
US20040249298A1 (en) * | 2003-06-03 | 2004-12-09 | Selevan James R. | Method and apparatus for determining heart rate |
US7811234B2 (en) * | 2002-08-01 | 2010-10-12 | California Institute Of Technology | Remote-sensing method and device |
US20140012149A1 (en) * | 2012-07-05 | 2014-01-09 | Pulmonary Apps, Llc | Wireless stethoscope and method of use thereof |
US20140323823A1 (en) * | 2013-04-26 | 2014-10-30 | University Of Hawaii | Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4240445A (en) | 1978-10-23 | 1980-12-23 | University Of Utah | Electromagnetic energy coupler/receiver apparatus and method |
US4510437A (en) | 1980-10-06 | 1985-04-09 | University Of Utah | Apparatus and method for measuring the permittivity of a substance |
US4488559A (en) * | 1981-06-30 | 1984-12-18 | University Of Utah | Apparatus and method for measuring lung water content |
CN85107022A (en) | 1985-09-20 | 1987-04-01 | 程滋颐 | Microwave meter for measuring moisture content of lung |
CA1307842C (en) * | 1988-12-28 | 1992-09-22 | Adrian William Alden | Dual polarization microstrip array antenna |
US5947910A (en) * | 1994-01-14 | 1999-09-07 | E-Z-Em, Inc. | Extravasation detection technique |
US5749369A (en) * | 1996-08-09 | 1998-05-12 | R.S. Medical Monitoring Ltd. | Method and device for stable impedance plethysmography |
US7149576B1 (en) * | 2000-07-10 | 2006-12-12 | Cardiodynamics International Corporation | Apparatus and method for defibrillation of a living subject |
EP1675506B1 (en) * | 2003-10-24 | 2015-09-16 | Bayer Medical Care Inc. | System for detecting fluid changes |
US7461444B2 (en) * | 2004-03-29 | 2008-12-09 | Deaett Michael A | Method for constructing antennas from textile fabrics and components |
US7942873B2 (en) * | 2005-03-25 | 2011-05-17 | Angiodynamics, Inc. | Cavity ablation apparatus and method |
US7256740B2 (en) * | 2005-03-30 | 2007-08-14 | Intel Corporation | Antenna system using complementary metal oxide semiconductor techniques |
US20060247505A1 (en) * | 2005-04-28 | 2006-11-02 | Siddiqui Waqaas A | Wireless sensor system |
JP2010537766A (en) * | 2007-09-05 | 2010-12-09 | センシブル メディカル イノヴェイションズ リミテッド | Method, system, and apparatus for using electromagnetic radiation to monitor a user's tissue |
US8989837B2 (en) * | 2009-12-01 | 2015-03-24 | Kyma Medical Technologies Ltd. | Methods and systems for determining fluid content of tissue |
US9002427B2 (en) * | 2009-03-30 | 2015-04-07 | Lifewave Biomedical, Inc. | Apparatus and method for continuous noninvasive measurement of respiratory function and events |
WO2011140518A1 (en) * | 2010-05-06 | 2011-11-10 | West Wireless Health Institute | Multipurpose, modular platform for mobile medical instrumentation |
JP5734740B2 (en) * | 2011-05-23 | 2015-06-17 | 株式会社豊田中央研究所 | Elastic wave detection device and elastic wave detection program |
GB2500000B (en) * | 2012-03-05 | 2016-08-03 | Univ Liverpool John Moores | Microwave monitoring |
-
2014
- 2014-04-25 US US14/261,884 patent/US9526438B2/en active Active
-
2015
- 2015-04-24 AU AU2015249257A patent/AU2015249257B2/en not_active Ceased
- 2015-04-24 WO PCT/US2015/027628 patent/WO2015164810A1/en active Application Filing
- 2015-04-24 CA CA2946892A patent/CA2946892A1/en not_active Abandoned
- 2015-04-24 JP JP2016564187A patent/JP2017513635A/en active Pending
-
2021
- 2021-08-27 JP JP2021139235A patent/JP2021183198A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020071570A1 (en) * | 2000-12-07 | 2002-06-13 | Gerard Cohen | Hybrid structure |
US7811234B2 (en) * | 2002-08-01 | 2010-10-12 | California Institute Of Technology | Remote-sensing method and device |
US20040249298A1 (en) * | 2003-06-03 | 2004-12-09 | Selevan James R. | Method and apparatus for determining heart rate |
US20140012149A1 (en) * | 2012-07-05 | 2014-01-09 | Pulmonary Apps, Llc | Wireless stethoscope and method of use thereof |
US20140323823A1 (en) * | 2013-04-26 | 2014-10-30 | University Of Hawaii | Microwave stethoscope for measuring cardio-pulmonary vital signs and lung water content |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3613341A4 (en) * | 2017-04-19 | 2020-12-30 | The School Corporation Kansai University | Biological information estimation device |
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JP2017513635A (en) | 2017-06-01 |
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US20140323823A1 (en) | 2014-10-30 |
JP2021183198A (en) | 2021-12-02 |
AU2015249257A1 (en) | 2016-12-08 |
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