ATTACHMENT DEVICE FOR HOLDING AN AUSCULTATION DEVICE NEAR A SMART DEVICE
20230050285 · 2023-02-16
Inventors
- Kevin Wayne Sexton (Little Rock, AR, US)
- Joseph Allen Sanford, Jr. (Little Rock, AR, US)
- Adria Abella Villafranca (Little Rock, AR, US)
Cpc classification
G10K11/22
PHYSICS
G10K11/002
PHYSICS
H04R1/46
ELECTRICITY
G10K11/08
PHYSICS
A61B5/6898
HUMAN NECESSITIES
International classification
Abstract
An attachment device for holding an auscultation device near a smart device. The attachment device includes an interior compartment for receiving the smart device and a port for receiving the auscultation device. In use, the attachment device holds the microphone of the smart device adjacent to the auscultation device. The smart device records the heart or breathing sounds from the auscultation device, and a mobile application on the smart device classifies the sounds as normal or abnormal.
Claims
1. An attachment device for holding an auscultation device near a smart device, said attachment device comprising: a first arm and a second arm, wherein said first arm and said second arm are joined to a connection portion, wherein said connection portion comprises an interior compartment, wherein said attachment device has an open position and a closed position; and a port extending from the interior compartment of said connection portion to an exterior of said connection portion, wherein said interior compartment of said connection portion is operable to receive a smart device when said attachment device is in said open position and said port is operable to receive an auscultation device, wherein said attachment device is configured such that a microphone of said smart device is positioned adjacent to said auscultation device when said connection portion receives said smart device and said port receives said auscultation device.
2. The attachment device of claim 1, wherein said interior compartment comprises a plurality of cushions.
3. The attachment device of claim 1, wherein said port is positioned in a bottom of said interior compartment.
4. The attachment device of claim 1, wherein a support is positioned adjacent said port.
5. The attachment device of claim 1, wherein said first arm comprises a free end and a connected end and said second arm comprises a free end and a connected end, wherein said connected end of said first arm is joined to said connection portion and said connected end of said second arm is joined to said connection portion.
6. The attachment device of claim 5, wherein said free end of said first arm and said free end of said second arm are operable to contact said auscultation device when said smart device is received in said interior compartment.
7. The attachment device of claim 1, wherein said auscultation device is a stethoscope chest piece comprising a neck and a bell or a diaphragm.
8. The attachment device of claim 7, wherein said port is operable to receive said neck.
9. The attachment device of claim 8, wherein said neck extends perpendicularly to a face of said bell.
10. An attachment device for holding an auscultation device near a smart device, said attachment device comprising: a smart device case comprising an interior compartment for holding a smart device, wherein said case comprises a port extending into said interior compartment, wherein said port is operable to receive an auscultation device, wherein said attachment device is configured such that a microphone of said smart device is positioned adjacent to said auscultation device when said smart device case receives said smart device and said port receives said auscultation device.
11. The attachment device of claim 10, wherein said auscultation device is a stethoscope chest piece comprising a neck and a bell or a diaphragm.
12. The attachment device of claim 11, wherein said port is operable to receive said neck.
13. The attachment device of claim 12, wherein said neck extends perpendicularly to a face of said bell.
14. A system for recording and classifying sounds from an auscultation device on a smart device, said system comprising: an auscultation device; a smart device for recording sounds from said auscultation device; and an attachment device for holding said auscultation device adjacent to said smart device, wherein a mobile application on said smart device is operable to classify recorded sounds from said auscultation device as normal or abnormal.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION OF THE INVENTION
[0021] With reference to
[0022] The attachment device 10 is also configured to hold a variety of different sized smartphones and other electronic devices capable of recording sound. For example, the smart device 16 may be an iPhone® smartphone or an iPad® device. The attachment device 10 is preferably made of Polylactic Acid (PLA) because it is relatively inexpensive and easy for 3D printing. However, the attachment device 10 may alternatively be made of other hard and durable materials. In addition to being durable so the device may be reused, it is preferable that the attachment device 10 be made of materials that allow the device to be easily cleaned.
[0023] As shown in
[0024] As shown in
[0025] After the smart device 16 is positioned in the interior 22 of the attachment device 10, the auscultation device 12 is connected to the port 26 of the attachment device. In one embodiment, a portion of the auscultation device 12 is received in the port 26, as shown in
[0026] In one embodiment, as shown in
[0027] When the auscultation device 12 is attached to the attachment device 10, the auscultation device 12 prevents the arms 20 of the attachment device 10 from being bent. This is achieved because the arms 20 contact the auscultation device 12, as shown in
[0028] Once the smart device 16 and the auscultation device 12 are attached to the attachment device 10, the patient, patient's caregiver or a medical professional opens a mobile app on the smart device 16 for recording and processing the sounds received from the auscultation device 12. In one embodiment, the smart device 16 (through the app) records the sound, filters it through an artificial intelligence algorithm, plots an image of the sound and sends it to the medical professional. The artificial intelligence algorithm filters background noise using low pass and high pass filters which makes the sound of interest clearer and louder. Depending on the particular issue with the patient, the app may be set for a heartbeat analysis, heart rhythm analysis, breathing sounds analysis, carotid bruit sound analysis, or another analysis. The medical professional receives the image of the sound with a recording of the sound through the app on his or her smart device which permits the medical professional to make a diagnosis.
[0029] EXAMPLE: To test the invention, a smartphone 16 was attached to the attachment device 10. The neck 28 of a stethoscope chest piece 18 was then pushed through the port 26 of the attachment device 10. The smartphone and the stethoscope chest piece attached to the attachment device 10 is shown in
[0030] In another embodiment, the app is configured to diagnose the patient without the assistance of the medical professional by utilizing an artificial intelligence algorithm. The artificial intelligence algorithm was trained by recording sounds from a SAM II® manikin. The manikin has internal speakers to simulate the sounds of the body. The sounds from the manikin were labeled by type (e.g., normal, mitral regurgitation, S3 heart sounds, arrythmias, etc.). Those sounds were then processed by filtering noise with a high pass or low pass filter and converted into arrays of numbers (matrices). Fast Fourier transforms were performed, and then mel frequencies, zero-crossings, and spectral roll off numbers were calculated. All of these metrics were inputs that trained the artificial intelligence algorithm.
[0031] Once the patient's sounds are recorded on the smart device 16 and the noise filtering is performed as discussed above, the sounds are converted to an array of numbers (i.e., a matrix). Mel frequencies, zero crossings and a fast Fourier transform are performed based on the sounds. All of these metrics are inputted to the artificial intelligence algorithm. As discussed above, the artificial intelligence algorithm is trained to identify and classify the types of sounds (e.g., abnormal, normal, artifacts). If the patient's sound is considered to be an artifact, the mobile app requests the patient to record the sound again. All of the recorded sounds are sent to the medical professional with a label with probabilities of a possible medical condition, such as normal 90%, abnormal 5%, and artifact 5%. This allows the medical professional to have a guide before listening to the sound.
[0032] An alternative embodiment of the attachment device 10 of the present invention is shown in
[0033] The present invention has been described with reference to certain preferred and alternative embodiments that are intended to be exemplary only and not limiting to the full scope of the present invention.