WO1999049778A1 - Method and apparatus for detection of air cavities in a body - Google Patents
Method and apparatus for detection of air cavities in a body Download PDFInfo
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- WO1999049778A1 WO1999049778A1 PCT/US1999/005941 US9905941W WO9949778A1 WO 1999049778 A1 WO1999049778 A1 WO 1999049778A1 US 9905941 W US9905941 W US 9905941W WO 9949778 A1 WO9949778 A1 WO 9949778A1
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- vibro
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- acoustic waves
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- desired region
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/48—Diagnostic techniques
- A61B8/485—Diagnostic techniques involving measuring strain or elastic properties
Definitions
- This invention relates to a method and apparatus for detecting air cavities, such as pneumothorax and pneumoperitoneum, in humans and animals.
- Pneumothorax is the state in which air or other gas is present in the pleural cavity and which occurs spontaneously as a result of disease or injury of lung tissue or puncture of the chest wall.
- Pneumoperitoneum is the state in which air or other gas is present in the peritoneal cavity.
- Pneumothoraces are commonly encountered as a spontaneous process, an iatrogenic complication, or secondary to traumatic injuries. Air pressure in the pleural space may increase leading to tension pneumothoraces requiring prompt diagnosis and treatment.
- Pneumothorax diagnosis often requires radiographic confirmation since history and physical examination findings can be non-specific. Valuable time may be lost while waiting for chest x-ray results and even after they are obtained, interpretation can be uncertain or incorrect.
- GIP gastrointestinal obstructing diseases of the gastrointestinal (GI) tract. It is estimated that there are from 10,000 to 70,000 cases in the United States each year. Much higher rates of GIP would be expected in regions of armed conflict or poor medical care. High morbidity or mortality rates accompany those abdominal catastrophes, as spillage of microbial, enzyme and other intraluminal contents into the peritoneum typically cause rapid disease advancement and often death if proper initiation of medical and surgical treatment is delayed. Ready access to a low cost and safe technology that would immediately identify GIP would save many lives each year. Currently, GIP is diagnosed preoperatively by imaging of free intraperitoneal air.
- CT examination is currently the most sensitive and specific tool for diagnosing /49778
- An apparatus for detecting the presence of a gas cavity in the thorax, abdomen, peritoneal cavity and elsewhere in a body includes an actuator for transmitting a source of vibro-acoustic waves into a first location.
- the actuator introduces a standardized audible sound, gently, into the chest wall.
- a white noise generator producing vibro-acoustic waves in the range of 5 Hz to
- Electromagnetic shakers and speakers may also be used in place of the actuator.
- a detector or acoustic sensor such as an air-coupled microphone (electronic stethoscope) , is placed at a second location for detecting the transmitted vibro- acoustic waves.
- the detector detects changes in the chest wall caused by the presence of an air cavity and generates a signal representative of the frequency response of the chest cavity.
- the actuator and detector are positioned on the body at locations effective for detecting the suspected air cavity. For a supine subject, this would be in the most anterior position.
- the level of the third rib may be chosen in human subjects to avoid the diaphragm.
- a processor analyzes the frequency response of the detected signal for the presence of resonance waves and anti-resonance waves and other acoustic property changes, which are indicative of chest cavity changes.
- a gas cavity is detected when the frequency response shows - 6 -
- detectors may be used: vibro-acoustic sensors, microphones, air-coupled microphones and optical detectors.
- the measurement sensor's dynamic impedance should match that of the skin surface. It has been found that lower signal to noise ratios were observed for air coupled sensors at high frequencies. The response of air coupled microphones was found to be sensitive to the size and geometrical shape of the coupling surface. Impedance matched accelerometers have been used in place of microphones in some studies of the abdominal region.
- Figures la and lb show the typical frequency response measured at the abdominal wall of a dog for a white noise input
- Figures 2a and 2b show the typical frequency response measured at the balloon surface for a white noise input
- Figures 3a and 3b show the experimental setup for balloon filling and vibro-acoustic testing
- Figures 4a and 4b show embodiments of apparatus according to the invention when they are used on a human subject
- FIGS. 5 through 10 are flow charts of an exemplary method according to the invention.
- Figures 11-15 show additional frequency response measurements of dogs during a pilot study.
- Fig. 16 is a block diagram of a computer and associated hardware shown in Fig. 4a.
- a pneumothorax condition involves the presence of an enclosed volume of free air located between the chest wall and the lung parenchyma, specifically between the visceral and parietal pleura.
- the acoustic behavior of this air volume is extremely different from either the chest wall or the parenchyma itself.
- the lung parenchyma acts like a foam-like substance that is a homogeneous mixture of air and soft tissue.
- predominantly compression wave propagation is supported.
- the composite density dominated by the tissue component, and the composite stiffness by the air, the resulting speed of sound is very low, 25-70 meters per second.
- response of the thorax is altered due to the presence of an enclosed air volume.
- Figure lb shows a typical spectrum at the midline of an animal with 500 ml of free gas. Strong resonance (at 470 Hz) and anti-resonance (at 210 - 9 -
- FIG. 3 A schematic of the basic setup used is shown in Figure 3.
- a balloon 10 was filled with an initial amount of liquid from liquid source 14. The amount of liquid was determined by weighing using weighing system 12. Gas from gas source /49778
- Vibration source 28 was connected to load cell 26 which provided an input signal to actuator 27, which generated vibro- acoustic waves. Vibratory response is detected at sensor 23, coupled to load cell 22. An additional sensor 25 may be connected to another load cell for detecting vibro- acoustic response at its location.
- Figure 4a shows an arrangement of the apparatus of the invention on a human subject 40.
- An actuator 41 is placed near the clavicle and inputs a vibro-acoustic signal generated by input signal source 44. Impacting the chest wall skin over a rib or clavicular bony prominence will efficiently conduct excitation energy around the rib cage, ' thus coupling acoustic energy into the pneumothorax free air volume and excite its resonance behavior.
- Two transducers 42, 43 are placed below the actuator near the third rib for detecting the transmitted signal from actuator 41 through the thorax. The response signal generated by each transducer is sent to computer 46 where the signals are analyzed.
- a recorder 45 collects a record of the input signal and the detected response signals.
- Figure 4b shows an alternate embodiment of the invention used on a human subject.
- Handhold actuator 51 is placed on the clavicle for imputing a vibro-acoustic waves into the thorax. The transmitted waves are then detected at handhold unit 55.
- Handhold unit 55 includes a sensor with built-in microprocessor and display. - 11 -
- FIG. 16 a block diagram of the computer 46 in Figure 4a is shown therein.
- the computer 46 receives the analog vibro-acoustic wave signals on a line 123 at an analog digital converter.
- the vibro- acoustic wave signals are digitized and fed over lines
- the computer 46 includes a disk controller 144 having connected to it a hard disk drive 146 and a floppy disk drive 148.
- the hard disk drive 146 stores a program as represented by flow charts Figures 5 through 10 inclusive.
- the selector routines are transferred from the hard disk drive 146 through the disk controller 144 to the system bus 142 and are loaded into random access memory 150 connected to the system bus for execution by a microprocessor 152. Portions of the code and data may be stored from time to time in a cache memory associated with the microprocessor.
- Read only memory 154 contains operating system information and outputs may be provided from the system bus by a video controller 156 to a video output line 131 connected to the display 132.
- outputs may be connected through an input/output module having parallel and serial ports 158 through a line 133.
- the transducers as may best be seen in Figure 4a, transducers 42 and 43 are placed on a torso 40 of a human being with the actuator 41 being placed near the clavicle to pick up vibro- acoustic waves for provision to the computer.
- the abdominal wall is made up of several structures, including skin. - 12 -
- Compression waves are not rapidly attenuated and have wavelengths of the order of internal organs. Hence, reflections off organ interfaces produce images.
- shear and surface waves propagate more significant distances and compression waves have wavelengths on the order of meters. Consequently, for compression waves, a wave type analysis can be abandoned and a modal-based description, i.e. modeling the system dynamic response to excitation in terms of effective mass, stiffness and damping values, or impedance characteristics.
- the abdominal cavity can be modeled by first assuming a homogeneous abdominal wall of uniform thickness and a hemispherical or domed shape. Then the intestinal region is replaced with a homogeneous medium representing its mean vibro-acoustic properties.
- a continuous random excitation source such as a swept frequency source or a transient source, such as an impulse, discrete frequency or a chirp
- a chirp signal is that it is well defined and may offer precise information in the time and frequency domains.
- impulse excitation is that it can be easily applied using an instrumented impact hammer with an impedance head mounting. However, there is less control over the level of vibratory energy input as a function of frequency.
- the advantage of a continuous random signal is that it is easier to implement. Both must be tailored to input energy into the frequency domain of interest where air volume resonances are expected. Different range settings may be selected to detect different size pneumothorax and pneumoperitoneum conditions. /49778
- a transfer function measurement of the ratio of sensor output to excitation input can be used to minimize chest wall dynamics contamination. Additionally, force and motion measurements at the point of excitation may also be taken. Knowledge of chest wall impedance conditions can be used in the diagnosis as well as in filtering out non-diagnostic localized chest wall dynamics. Static pressure of application of the actuator and sensor may be monitored with a load cell (see Figure 3b) to take into account any affect on the response measurements.
- the measurement sensor's dynamic impedance should match that of the skin surface.
- the sensor should also have high signal-to- noise ratio, high sensitivity and good ambient noise shrouding capability.
- Two air coupled microphones Radio Shack, Fort Worth, TX and Labtron, Hauppage, NY
- two contact sensors MCG, Branford, CT and Siemens, Iselin, NJ
- a low-pass filter can be used to avoid aliasing and remove high frequency noise. Preliminary tests indicate that the phase of the air coupled microphones are sensitive to static pressure between the sensor and the patient.
- FIGs 5 through 10 A method according to the invention is shown in Figures 5 through 10.
- the subject to be examined will generally be in a supine position.
- An actuator is then positioned at the skin surface, preferably on a rib or clavicular bony prominence and acoustic excitation introduced into the thorax.
- step 501 one or more sensors are then placed in appropriate locations on the subject.
- 9/49778 9/49778
- the sensors are positioned about the suspected pneumothorax or pneumoperitoneum and with respect to the actuator to optimize detection.
- the static force of the actuator and sensors may also be monitored.
- a processor such as a laptop computer, receives the signals from the sensors and calculates and displays the acoustic and physiologic (if physiologic monitoring is additionally present) changes in real time. All data is stored digitally. Acoustic data may be stored simultaneously in analog form on a 4-track or other audio recording medium for post processing and analysis.
- Step 505 is the calculation of the transfer function, TF.
- the transfer function is calculated by first calculating the spectrum of the actuator signal, S in , in step 61. Then the spectrum of the sensor signal is calculated, S out , step 62.
- the auto spectrum of S in and S out is calculated using a commercial software package (LABVIEW by National Instruments, Austin, TX) using fast Fourier transforms. Finally, transfer function is calculated by taking the ratio of S out to S in .
- the transfer function is first smoothed with a moving average filter (step 73) .
- filter width is initially set at 10 Hz.
- the TF value is considered at each frequency bin (step 81 of Figure 8) .
- a new TF value is calculated as the average of all the TF values in neighboring bins that are within the filter width (step 82) .
- the user is asked if the TF is smoothed. If the answer is yes, step 76, then the user is directed to use the current value of TF for the analysis. If the answer is /49778
- the filter width is increased by 10 Hz (step 77) .
- Filter width is checked to determine if it is greater than 200 Hz (step 78) . If the answer is yes, use the current TF for analysis. If the answer is no, the smoothing step is repeated in step 73. The smoothing process continues to loop until either TF is smooth or filter width is greater than 200 Hz.
- step 515 the next step is to determine if the transfer function is broad band.
- the average and standard deviation of the transfer function (TF ave/ TF sd ) of the part of the transfer function in the frequency range Far,min to Far, max is calculated (step 91) .
- the ratio of TF sd to TF ave is calculated. If it is less than a predetermined ratio, R brdbnd (step 92), then the transfer function is broad. If the transfer function is broad band, then air is absent (step 537) . Otherwise, the method continues to step 520.
- Typical values of threshold settings are: F r,min - 250 Hz
- step 520 the spectral frequency and spectral amplitude of the resonance (F r , S r ) and the anti-resonance (F ar , S ar ) is determined.
- S r is equal to the largest value of the transfer function for frequencies greater than 200 Hz.
- F r is equal to the corresponding frequency.
- S ar is equal to the smallest value of the transfer function for - 17 -
- F ar is the corresponding frequency.
- step 525 if the answer to the test F r(min ⁇ F r ⁇ F rmax is no, then air is absent. If the answer is yes, the method continues to step 530. If the answer to F arfI - in ⁇ F ar ⁇ F arrmax is no, air is absent. If the answer is yes, the method continues to step 535. If the answer to R mln ⁇ S r /S ar ⁇ R j - ax is no, then air is absent. If the answer is yes, then air is present (step 536) .
- the basic difference in the morphology of the FR in the baseline and disease states is that the later has a resonance peak in the 400-700 Hz band, and an apparent anti-resonance at about half that frequency. Therefore, the ratio of the FR value at these extreme points may be chosen as a basic characteristic of interest.
- Statistical analyses were performed on tests of mongrel dogs. /49778
- Figures 11a and lib show the frequency response of dog 1 measured at the midline for the baseline 11a and the pneumoperitoneum lib states with a solid line representing the mean and dashed lines representing the 95% confidence limits.
- Figures 14a and 14b and 15a and 15b show frequency response of dog 3 measured 10 cm left of the midline and 20 cm left of the midline, respectively.
- the spectra at the detection points were calculated and normalized by those of the input vibration (shaker output) .
- Each vibro-acoustic data set was divided into 320 non-overlapping segments (62.5 ms each).
- the average and standard deviation of the FR was calculated for each 63 frequency bins (16 Hz resolution) from 0-1000 Hz.
- the p-values of the FR differences between baseline and disease states were found to be 0.08, 0.001 and 0.00007 for the pilot dogs.
- the air volume may be approximated by a gas bubble in a liquid medium.
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2000540750A JP2002509747A (en) | 1998-03-30 | 1999-03-17 | Method and apparatus for detecting gas cavity in body |
EP99913955A EP1067860A1 (en) | 1998-03-30 | 1999-03-17 | Method and apparatus for detection of air cavities in a body |
AU31914/99A AU3191499A (en) | 1998-03-30 | 1999-03-17 | Method and apparatus for detection of air cavities in a body |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US5071698A | 1998-03-30 | 1998-03-30 | |
US09/050,716 | 1998-03-30 |
Publications (1)
Publication Number | Publication Date |
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WO1999049778A1 true WO1999049778A1 (en) | 1999-10-07 |
Family
ID=21966962
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US1999/005941 WO1999049778A1 (en) | 1998-03-30 | 1999-03-17 | Method and apparatus for detection of air cavities in a body |
Country Status (5)
Country | Link |
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US (1) | US6595928B2 (en) |
EP (1) | EP1067860A1 (en) |
JP (1) | JP2002509747A (en) |
AU (1) | AU3191499A (en) |
WO (1) | WO1999049778A1 (en) |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5259384A (en) * | 1992-07-30 | 1993-11-09 | Kaufman Jonathan J | Ultrasonic bone-assessment apparatus and method |
US5309922A (en) * | 1992-09-21 | 1994-05-10 | Center For Innovative Technology | Respiratory sound analyzer for use in high noise environments |
US5816245A (en) * | 1995-06-01 | 1998-10-06 | Manseur; Rachid | Electronic pneumothorax monitoring device |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4008711A (en) * | 1975-06-30 | 1977-02-22 | Charles P. Olinger | Method and apparatus for non-invasive detection of intracranial aneurysms |
US4689986A (en) * | 1985-03-13 | 1987-09-01 | The University Of Michigan | Variable frequency gas-bubble-manipulating apparatus and method |
US4672977A (en) * | 1986-06-10 | 1987-06-16 | Cherne Industries, Inc. | Lung sound cancellation method and apparatus |
US4928697A (en) * | 1988-09-28 | 1990-05-29 | The Ohio State University | Non-contact high frequency tonometer |
US5165417A (en) * | 1989-09-12 | 1992-11-24 | Murphy Jr Raymond L H | Lung sound detection system and method |
US5718227A (en) * | 1995-08-02 | 1998-02-17 | Lockheed Martin Corporation | Sound localization using parametric ultrasound |
US5701912A (en) * | 1995-12-21 | 1997-12-30 | International Telepresence Corporation | Stereophonic system for minimally invasive surgery |
US6443907B1 (en) * | 2000-10-06 | 2002-09-03 | Biomedical Acoustic Research, Inc. | Acoustic detection of respiratory conditions |
-
1999
- 1999-03-17 WO PCT/US1999/005941 patent/WO1999049778A1/en not_active Application Discontinuation
- 1999-03-17 AU AU31914/99A patent/AU3191499A/en not_active Abandoned
- 1999-03-17 EP EP99913955A patent/EP1067860A1/en not_active Withdrawn
- 1999-03-17 JP JP2000540750A patent/JP2002509747A/en active Pending
-
2002
- 2002-06-05 US US10/164,106 patent/US6595928B2/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5259384A (en) * | 1992-07-30 | 1993-11-09 | Kaufman Jonathan J | Ultrasonic bone-assessment apparatus and method |
US5309922A (en) * | 1992-09-21 | 1994-05-10 | Center For Innovative Technology | Respiratory sound analyzer for use in high noise environments |
US5816245A (en) * | 1995-06-01 | 1998-10-06 | Manseur; Rachid | Electronic pneumothorax monitoring device |
Non-Patent Citations (1)
Title |
---|
WODICKA G. R., SHANNON D. C.: "TRANSFER FUNCTION OF SOUND TRANSMISSION IN SUBGLOTTAL HUMAN RESPIRATORY SYSTEM AT LOW FREQUENCIES.", JOURNAL OF APPLIED PHYSIOLOGY: RESPIRATORY, ENVIRONMENTAL AND EXERCISE PHYSIOLOGY, AMERICAN PHYSIOLOGICAL SOCIETY, US, 1 January 1990 (1990-01-01), US, pages 2126 - 2130., XP002921001, ISSN: 0161-7567 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2002071947A1 (en) * | 2001-03-09 | 2002-09-19 | Biomedical Acoustic Research, Inc. | Acoustic detection of gastric motility dysfunction |
US6840913B2 (en) | 2001-03-09 | 2005-01-11 | Biomedical Acoustic Research Corp. | Acoustic detection of gastric motility dysfunction |
CN101923851B (en) * | 2005-02-08 | 2012-02-15 | P·J·G·范德林登 | Self-supporting and self -aligning vibration excitator |
US9958316B2 (en) | 2009-07-16 | 2018-05-01 | Koninklijke Philips N.V. | System and method for measuring a resonance frequency of a tube |
WO2018111205A1 (en) * | 2016-12-13 | 2018-06-21 | Karabudak Engin | Detecting thoracic trauma |
Also Published As
Publication number | Publication date |
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JP2002509747A (en) | 2002-04-02 |
AU3191499A (en) | 1999-10-18 |
US6595928B2 (en) | 2003-07-22 |
US20020151789A1 (en) | 2002-10-17 |
EP1067860A1 (en) | 2001-01-17 |
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