Active noise control stethoscope

• US 5,539,831 A
• Filed: 08/16/1993
• Issued: 07/23/1996
• Est. Priority Date: 08/16/1993
• Status: Expired due to Fees

• Current Assignee: University of Mississippi
• Original Assignee: University of Mississippi
• Inventors: Harley, Thomas R.
• Primary Examiner(s): Isen, Forester W.
• Application Number:
  US08/106,607
• Time in Patent Office: 1,072 Days
• Field of Search: 381/67, 381/71, 381/72, 381/94, 381/151, 381/190
• US Class Current: 381/67
• CPC Class Codes: A61B 2090/502 Headgear, e.g. helmet, spectacles
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G10K 11/17854 the filter being an adaptive filter
• CPC Class Codes: G10K 11/17857 Geometric disposition, e.g. placement of microphones
• CPC Class Codes: G10K 11/17861 using additional means for damping sound, e.g. using sound absorbing panels
• CPC Class Codes: G10K 11/17881 the reference signal being an acoustic signal, e.g. recorded with a microphone
• CPC Class Codes: G10K 11/17885 additionally using a desired external signal, e.g. pass-through audio such as music or speech
• CPC Class Codes: G10K 2210/108 Communication systems, e.g. where useful sound is kept and noise is cancelled
• CPC Class Codes: G10K 2210/1081 Earphones, e.g. for telephones, ear protectors or headsets
• CPC Class Codes: G10K 2210/1082 Microphones, e.g. systems using "virtual" microphones
• CPC Class Codes: G10K 2210/116 Medical; Dental
• CPC Class Codes: G10K 2210/3229 Transducers

Abstract

An active noise control stethoscope enables a physician or paramedic to check vital signs in the presence of high background noise levels. A digital processing technique is used to remove noise from the output of a main detection sensor, the detector being impedance mismatched with air and therefore less sensitive to external airborne noise. Instead of a microphone, the detector uses a piezoceramic transflexural actuator mounted in a cylindrical piece of brass, with a polyurethane coating placed over the active side of the sensor to keep the sensor waterproof and broaden the response of the sensor. An identical sensor is placed above the device to detect background noise adjacent the device, the signals being combined to obtain a signal free of background noise. A third sensor is also used to electronically remove noise detected by the main sensor, the third sensor being positioned to pick-up noise coupled through the patient'"'"'s body. The time varying voltages from signals output by these sensors are digitized and processed by the digital signal processor, and the output used to drive the speakers in the headset. The digital signal processor uses a least mean squared algorithm to digitally subtract out the part of the detector signal that is correlated to the signals from the second and third sensors. In addition, noise penetrating the earcups of the headset is reduced by using the speakers to generate antinoise. The antinoise is generated by a filtered X-adaptive digital algorithm, and also by a random noise cancellation system which sets up an infinite impulse response filter in which the coefficients are periodically updated for minimizing an ear sensitivity weighted sound pressure level detected by a microphone inside the headset.

Claims

1. In an electronic stethoscope, including:

first sensor means for detecting sound exclusively from a predetermined source and converting said sound to a first electrical signal;

second sensor means for primarily sensing background sounds and not said sound from a predetermined source and converting said background sounds to a second electrical signal;

digital signal processor means for correlating said first and second signals generated by the respective sensor means in order to obtain a filtered electrical signal from which said background sounds have been cancelled; and

speaker means responsive to said filtered electrical signal for reproducing said sound from said predetermined source,

the improvement wherein said first and second sensor means are affixed to a common housing arranged such that the second sensor means senses external noise in a vicinity of the main sensor but not sounds made by the predetermined source, and wherein said first sensor means has an impedance which is substantially different from the impedance of air.

2. A stethoscope as claimed in claim 1, wherein said first sensor means is a piezoceramic transflexural actuator.

3. A stethoscope as claimed in claim 2, wherein said piezoelectric transflexural actuator comprises a thin layer of piezoelectric material bonded to a thin conductive metal disc.

4. A stethoscope as claimed in claim 3, wherein said conductive metal disc is bonded to a conductive metal cylinder which closes any direct path by which airborne noise can reach the piezoelectric element.

5. A stethoscope as claimed in claim 4, wherein said first sensor means further includes a waterproof insulating coating on an active side of the actuator for broadening a resonance frequency of the actuator.

6. A stethoscope as claimed in claim 4, wherein said second sensor means is positioned adjacent the first sensor means, and wherein said first sensor means faces the predetermined source and is between the predetermined source and the second sensor means.

7. A stethoscope as claimed in claim 4, further comprising a second layer of piezoelectric material bonded to a thin conductive metal disc which in turn is bonded to an end of said cylinder which is opposite to an end of said cylinder to which said first metal disc is bonded, the second layer and disc forming a second sensor to serve as a backup for the sensor means or as a reference source for active noise control.

8. A stethoscope as claimed in claim 4, wherein said cylinder is made of brass.

9. A stethoscope as claimed in claim 1, further comprising a third sensor means arranged to be positioned on the predetermined source but away from the first sensor means to thereby form a means for sensing background sounds which have coupled to the predetermined source.

10. A stethoscope as claimed in claim 9, wherein said third sensor means is identical to said first sensor means.

11. A stethoscope as claimed in claim 9, wherein said third sensor means is a microphone.

12. A stethoscope as claimed in claim 9, further comprising a third sensor means positioned in the vicinity of the first sensor means but but facing in a direction different from the direction faced by the predetermined source so as to sense background sounds in the vicinity of the first sensor means.

13. A stethoscope as claimed in claim 1, wherein said processing means is a digital signal processor and said digital signal processor includes means for implementing an LMS algorithm.

14. A stethoscope as claimed in claim 1, further comprising means for inverting a signal sent to the speaker means in order to exploit a binaural masking level difference effect.

29. A stethoscope as claimed in claim 1, wherein said actuator has an impedance which is approximately that of human flesh.

15. In an active noise control system, including:

first sensor means for detecting sound from a predetermined source and converting said sound to a first electrical signal;

second sensor means for sensing background sound and converting said background sound to a second electrical signal;

digital signal processor means for correlating said first and second signals generated by the respective sensor means in order to obtain a filtered electrical signal from which said background sounds have been cancelled; and

speaker means responsive to said filtered electrical signal for reproducing said sound from said predetermined source,

the improvement comprising means for generating an antinoise signal to which the speaker is also responsive in order to minimize noise perceived by a user of a headset in which said speaker is situated, wherein the antinoise cancelling signal is the sum of two components;

1.) a filtered-X LMS generated signal that uses an outer earmuff microphone for an input microphone and an inner earmuff microphone as an error microphone, in order to cancel periodic acoustical noise, and 2.) a random noise cancelling signal for cancelling random acoustical noise based on input solely from the inner microphone.

16. A system as claimed in claim 15, further comprising means for inverting a signal sent to the speaker means in order to exploit a binaural masking level effect.

17. A system as claimed in claim 15, wherein said processor means includes a digital filter having an input x_n and an output y_n,

wherein ##EQU4## and wherein the coefficients ##STR5## of the antinoise digital filter are chosen so as to minimize a quantity representative of an ear sensitivity weighted sound pressure level.

18. A system as claimed in claim 17, wherein the ear sensitivity weighted sound pressure is given by the formula:

##EQU5## wherein the weighting factor W(f) is defined by the following equation;

space="preserve" listing-type="equation">W(f)=10.sup.[-M(f)+E(f)],

wherein M(f) is a factor used to remove the frequency dependent sensitivity of the microphone, E(f) describes the frequency dependent sensitivity of the human ear, the unwanted source noise measured by the first microphone is given by p_s (t), and the truncated Fourier transform of p_s (t) over a time window of 2T is denoted by p_s (T,f), which in turn is defined by the following equations;

##EQU6##

19. A system as claimed in claim 18, further comprising means for calculating a trapezoidal approximation for the functional value, gradient, and hessian of the ear sensitivity sound pressure level , using a modified Newton'"'"'s method to find a minimum, and applying current values for P_s (f) and the response ##STR6##

20. A system as claimed in claim 19, wherein the hessian is determined by the following procedure:

##EQU7##

21. A system as claimed in claim 15, further comprising means for checking for insufficiently damped modes.

22. In an electronic stethoscope, including:

first sensor means for detecting Sound exclusively from a predetermined source and converting said sound to a first electrical signal;

second sensor means for primarily sensing background sounds and not said sound from a predetermined source and converting said background sounds to a second electrical signal;

digital signal processor means for correlating said first and second signals generated by the respective sensor means in order to obtain a filtered electrical signal for reproducing said sound from said predetermined source,

the improvement wherein said first sensor means has an impedance which is substantially different from the impedance of air,

wherein said first sensor means is a piezoceramic transflexural actuator comprising a thin layer of piezoelectric material bonded to a thin conductive metal disc, said disc being in turn bonded to a conductive metal cylinder which closes any direct path by which airborne noise can reach the piezoelectric element,

wherein said second sensor means is positioned adjacent the first sensor means and said first sensor means faces the predetermined source and is between the predetermined source and the second sensor means, and

wherein said second sensor means is identical in construction to said first sensor means.

23. In an electronic stethoscope, including:

first sensor means for detecting sound exclusively from a predetermined source and converting said sound to a first electrical signal;

second sensor means for primarily sensing background sounds and not said sound from a predetermined source and converting said background sounds to a second electrical signal;

digital signal processor means for correlating said first and second signals generated by the respective sensor means in order to obtain a filtered electrical signa for reproducing said sound from said predetermined source,

the improvement wherein said first sensor means has an impedance which is substantially different from the impedance of air,

wherein said first sensor means is a piezoceramic transflexural actuator comprising a thin layer of piezoelectric material bonded to a thin conductive metal disc, said disc being in turn bonded to a conductive metal cylinder which closes any direct path by which airborne noise can reach the piezoelectric element,

wherein said second sensor means is positioned adjacent the first sensor means and said first sensor means faces the predetermined source and is between the predetermined source and the second sensor means, and

wherein said second sensor means is a microphone.

24. In an active noise control system, including:

sensor means for detecting sound from a predetermined source and converting said sound to an electrical signal;

speaker means responsive to said electrical signal for reproducing said sounds from said predetermined source; and

means for generating antinoise in order to minimize noise perceived by a user of a headset in which said speaker is situated, the improvement wherein said antinoise generating means includes at least one microphone positioned inside the earcup containing said speaker, processor means including means for generating an antinoise signal for driving said speaker in order to minimize noise detected by said at least one microphone,

wherein said means for generating an antinoise signal comprises means for driving said speaker in response to random noise detected by said at least one microphone, and

wherein said processor means includes a digital filter having an input x_n and an output y_n,

wherein ##EQU8## and wherein the coefficients ##STR7## of the antinoise digital filter are chosen so as to minimize a quantity representative of an ear sensitivity weighted sound pressure level.

25. A system as claimed in claim 24, wherein the ear sensitivity weighted sound pressure is given by the formula:

##EQU9## wherein the weighting factor W(f) is defined by the following equation;

space="preserve" listing-type="equation">W(f)=10.sup.[-M(f)+E(f)],

wherein M(f) is a factor used to remove the frequency dependent sensitivity of the microphone, E(f) describes the frequency dependent sensitivity of the human ear, the unwanted source noise measured by the first microphone is given by p_s (t), and the truncated Fourier transform of p_s (t) over a time window of 2T is denoted by p_s (T,f), which in turn is defined by the following equations;

##EQU10##

26. A system as claimed in claim 25, further comprising means for calculating a trapezoidal approximation for the functional value, gradient, and hessian of the ear sensitivity sound pressure level , using a modified Newton'"'"'s method to find a minimum, and applying current values for P_s (f) and the response ##STR8##

27. A system as claimed in claim 26, wherein the hessian is determined by the following procedure:

##EQU11##

28. A system as claimed in claim 24, further comprising means for checking for insufficiently damped modes.