IP Library Granted Patent US 9,968,329
Granted Patent B2
US 9,968,329 · App. 15/414,478 · Granted May 15, 2018

Remote control of medical device using audio data

Inventors: Hon Weng Chong (Toorak, AU); Lain Cai Cai (Macleod, AU); An Lin (Eight Mile Plains, AU); Robert James Skillington (Glen Iris, AU)
Assignee: CliniCloud Inc.
A61B7/04A61B5/0205A61B5/6898A61B5/7217A61B7/003G06F3/162H04R1/46A61B5/0255A61B5/02438A61B5/02444A61B5/0803A61B2560/0209A61B2562/227H04R2420/09
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Quick Facts
Patent No.
US 9,968,329
App. No.
15/414,478
Granted
May 15, 2018
Kind
B2
Abstract

A processing device detects a medical device and sends an audio wake-up signal to the medical device, wherein the audio wake-up signal causes the medical device to transition from a low power state to a higher power state. The processing device receives a diagnostic audio signal from the medical device after sending the audio wake-up signal. The processing device processes the diagnostic audio signal to determine medical information of a patient, the medical information comprising at least one of heart beat information or breathing information of the patient. The processing device performs at least one of storing the medical information or transmitting the medical information to a remote computing device.

Claims (54)

1. A method comprising:

detecting a medical device by a processing device of a computing device;

sending, by the processing device, an audio wake-up signal to the medical device, wherein the audio wake-up signal causes the medical device to transition from a low power state to a higher power state;

receiving a diagnostic audio signal from the medical device after sending the audio wake-up signal;

processing the diagnostic audio signal to determine medical information of a patient, the medical information comprising at least one of heart beat information or breathing information of the patient; and

performing at least one of storing the medical information or transmitting the medical information to a remote computing device.

2. The method of claim 1 , wherein the audio wake-up signal and the diagnostic audio signal are both analog audio signals, and wherein processing the diagnostic audio signal comprises:

converting the diagnostic audio signal into a digital audio signal;

filtering the digital audio signal; and

identifying waveform patterns from the digital audio signal.

3. The method of claim 1 , further comprising:

after sending the audio wake-up signal to the medical device, sending an audio signature to the medical device, wherein the audio signature causes the medical device to enable a microphone and generate the diagnostic audio signal.

4. The method of claim 3 , wherein the audio signature has a predetermined frequency, and wherein processing the diagnostic audio signal comprises filtering out the predetermined frequency from the diagnostic audio signal.

5. The method of claim 1 , further comprising:

determining a geographic location associated with at least one of the medical device or the computing device;

determining an alternating current (AC) power supply frequency used at the geographic location; and

applying a filter to filter out the AC power supply frequency from the diagnostic audio signal.

6. A computing device comprising:

a memory; and

a processing device operatively coupled to the memory, the processing device configured to:

detect a medical device;

send an audio wake-up signal to the medical device, wherein the audio wake-up signal causes the medical device to transition from a low power state to a higher power state;

receive a diagnostic audio signal from the medical device after sending the audio wake-up signal;

process the diagnostic audio signal to determine medical information of a patient, the medical information comprising at least one of heart beat information or breathing information of the patient; and

perform at least one of storing the medical information or transmitting the medical information to a remote computing device.

7. The computing device of claim 6 , wherein the audio wake-up signal and the diagnostic audio signal are both analog audio signals, and wherein processing the diagnostic audio signal comprises:

converting the diagnostic audio signal into a digital audio signal;

filtering the digital audio signal; and

identifying waveform patterns from the digital audio signal.

8. The computing device of claim 6 , wherein the processing device is further configured to:

after sending the audio wake-up signal to the medical device, send an audio signature to the medical device, wherein the audio signature causes the medical device to enable a microphone and generate the diagnostic audio signal.

9. The computing device of claim 8 , wherein the audio signature has a predetermined frequency, and wherein processing the diagnostic audio signal comprises filtering out the predetermined frequency from the diagnostic audio signal.

10. The computing device of claim 6 , wherein the processing device is further configured to:

determine a geographic location associated with at least one of the medical device or the computing device;

determine an alternating current (AC) power supply frequency used at the geographic location; and

apply a filter to filter out the AC power supply frequency from the diagnostic audio signal.

11. The computing device of claim 6 , wherein the computing device is a mobile computing device.

12. A non-transitory computer readable storage medium having instructions that, when executed by a processing device of a mobile computing device, cause the processing device to perform operations comprising:

detecting a medical device by the processing device;

sending, by the processing device, an audio wake-up signal to the medical device, wherein the audio wake-up signal causes the medical device to transition from a low power state to a higher power state;

receiving a diagnostic audio signal from the medical device after sending the audio wake-up signal;

processing the diagnostic audio signal to determine medical information of a patient, the medical information comprising at least one of heart beat information or breathing information of the patient; and

performing at least one of storing the medical information or transmitting the medical information to a remote computing device.

13. The non-transitory computer readable storage medium of claim 12 , wherein the audio wake-up signal and the diagnostic audio signal are both analog audio signals, and wherein processing the diagnostic audio signal comprises:

converting the diagnostic audio signal into a digital audio signal;

filtering the digital audio signal; and

identifying waveform patterns from the digital audio signal.

14. The non-transitory computer readable storage medium of claim 12 , the operations further comprising:

after sending the audio wake-up signal to the medical device, sending an audio signature to the medical device, wherein the audio signature causes the medical device to enable a microphone and generate the diagnostic audio signal.

15. The non-transitory computer readable storage medium of claim 14 , wherein the audio signature has a predetermined frequency, and wherein processing the diagnostic audio signal comprises filtering out the predetermined frequency from the diagnostic audio signal.

16. The non-transitory computer readable storage medium of claim 12 , the operations further comprising:

determining a geographic location associated with at least one of the medical device or the computing device;

determining an alternating current (AC) power supply frequency used at the geographic location; and

applying a filter to filter out the AC power supply frequency from the diagnostic audio signal.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2020
From: CLINICLOUD INC.
To: SUZHOU MELODICARE MEDICAL TECHNOLOGY CO., LTD
Reel/Frame 052744/0660 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 24, 2017
From: CHONG, HON WENG; CAI, LAIN CAI; LIN, AN; SKILLINGTON, ROBERT JAMES
To: CLINICLOUD INC.
Reel/Frame 041069/0052 →
Continuity (3)
Division 14591847 · Jan 7, 2015
Provisional Application 61925083 · Jan 8, 2014
Related Publication 20170128034A1 · May 11, 2017