Not applicable
A stethoscope is a medical device for auscultation or listening to the internal sounds of a human. A stethoscope commonly includes a small disc-shaped resonator that is placed against the skin (also called a chest piece) and a pair of tubes connected to earpieces. A stethoscope can be used to listen to the sounds made by the heart, lungs, and intestines. A stethoscope may also be used to listen to the sounds made by blood flow in arteries and veins. A major drawback of the prior art stethoscope is that it cannot be used in the remote diagnosis and treatment of patients, which is commonly referred to as telemedicine or telehealth. Telemedicine is particularly important in rural areas because of lack of local medical care. There are electronic stethoscopes that electronically connect to smartphones through the audio jack or the charging port, but they contain electrical components that make them complex and expensive.
It would therefore be desirable to develop an attachment device for holding an auscultation device near a smart device for recording and analyzing heart and breathing sounds without the necessity of extra electronics.
The present invention is directed to 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 and breathing sounds using the auscultation device, and a mobile application on the smart device utilizing an artificial intelligence algorithm classifies the sounds as normal or abnormal.
These and other features, objects and advantages of the present invention will become better understood from a consideration of the following detailed description of the preferred embodiments and appended claims in conjunction with the drawings as described following:
With reference to
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.
As shown in
As shown in
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
In one embodiment, as shown in
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
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.
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
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.
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.
An alternative embodiment of the attachment device 10 of the present invention is shown in
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.
This application claims the benefit of U.S. Provisional Application No. 62/976,772, entitled “Attachment Device for Holding an Auscultation Device Near a Smart Device” and filed on Feb. 14, 2020. The complete disclosure of said provisional application is hereby incorporated by reference.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/US2021/017384 | 2/10/2021 | WO |
| Publishing Document | Publishing Date | Country | Kind |
|---|---|---|---|
| WO2021/163135 | 8/19/2021 | WO | A |
| Number | Name | Date | Kind |
|---|---|---|---|
| 8286789 | Wilson | Oct 2012 | B2 |
| 9042568 | Poplaw | May 2015 | B2 |
| 20090294617 | Stacey | Dec 2009 | A1 |
| 20120190303 | Wong | Jul 2012 | A1 |
| 20140163422 | Poplaw | Jun 2014 | A1 |
| 20150104027 | Mulumudi | Apr 2015 | A1 |
| 20160192846 | Shekhar | Jul 2016 | A1 |
| Number | Date | Country |
|---|---|---|
| 6022739 | Nov 2016 | JP |
| 6582261 | Sep 2019 | JP |
| Entry |
|---|
| Machine translation of JP 6582261, 17 pages. (Year: 2019). |
| Machine translation of JP 6582261, 29 pages. (Year: 2019). |
| International Search Report and Written Opinion, International Application No. PCT/US21/17384 (Jul. 22, 2021). |
| Number | Date | Country | |
|---|---|---|---|
| 20230050285 A1 | Feb 2023 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62976772 | Feb 2020 | US |