IP Library › Granted Patent US 12,465,240
Granted Patent B1
US 12,465,240 · App. 17/508,279 · Granted Nov 11, 2025

System for remote server-based diagnostic monitoring with one more positive airway pressure (PAP) devices

Inventors: Hani Kayyali (Shaker Heights, OH); Robert Schmidt (Ft. Myers, FL); Mohammad Modarres-Zadeh (Tampa, FL); Brian Kolkowski (Leroy, OH)
Assignee: Cleveland Medical Devices Inc.
A61B5/085A61B5/4815A61B5/02055A61M2016/0027A61M2016/0039A61M16/0051A61M16/0069A61M2202/0208A61M2205/3553A61M2205/3561A61M2205/3584A61M2205/3592A61M2230/04A61M2230/10A61M2230/14A61M2230/202A61M2230/205A61M2230/60
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,465,240
App. No.
17/508,279
Granted
Nov 11, 2025
Kind
B1
Abstract

The present invention relates to an integrated sleep diagnosis and treatment device, and more particularly to an integrated apnea diagnosis and treatment device. The present invention additionally relates to method of sleep diagnosis and treatment.

Claims (41)

1 . A system for remote internet server-based diagnostic monitoring with one or more positive airway pressure (PAP) device(s) for sleep disorder treatment system comprising:

one or more PAP device(s) with an enclosure further comprising:

a blower having an air output,

an airflow sensor internal to the PAP device adapted for measuring the respiratory airflow being delivered to a subject from and while using the PAP and outputting airflow sensor data;

a first processor adapted for receiving the airflow sensor data, and providing calculated symptom data of a severity of the subject's sleep disorder symptoms and/or an index of a subject's symptoms measured during use of the PAP device and data of usage of the PAP device;

an air output adapted for connecting a hose to a nasal cannula or a mask;

a sensor less mask or a sensor less nasal cannula and

a first radio frequency wireless transceiver; and

a first software stored on a non-transitory computer readable medium adapted to be downloaded and executed by a second processor on a base station or a cellular phone, the base station or the cellular phone each having a display for review by a patient being treated with the PAP device;

the first radio frequency wireless transceiver is adapted for receiving and transmitting the calculated symptom data directly to the base station or cellular phone, or indirectly through a remote internet site;

the first software for the base station, or cellular phone adapted for receiving and displaying a PAP therapy efficacy measure on the display of the base station or the cellular phone based on all or part of the calculated symptom data from the PAP device, and if received directly from the PAP device to retransmit the calculated symptom data received from the PAP device utilizing the base station or cellular phone to a remote internet site, if not received directly from the PAP device.

2 . The system of claim 1 , wherein the first radio frequency wireless transceiver of the PAP device is adapted for communicating with a second radio frequency wireless transceiver of the base station, cellular phone or PDA using the first software with a wireless protocol compliant with IEEE 802.15.1.

3 . The system of claim 1 , wherein the PAP device further comprises an electronic component adapted to allow the PAP device to be adjusted remotely by a clinician or physician based in part on the calculated symptom data and/or an index of the subject's symptoms transmitted to the remote internet site.

4 . The system of claim 1 , wherein the first software for the base station; or the cellular phone is adapted to be reprogrammed or modified remotely.

5 . The system of claim 1 , wherein the airflow sensor data is processed using one or more of the signal processing techniques from the group consisting of a standard deviation technique, a recursively fit autoregressive moving average model with exogenous inputs system identification model, a short-time fourier transform technique, a time-frequency signal analysis with a variety of different kernals, and a wavelet analysis.

6 . The system of claim 1 , wherein the first software is adapted to re-transmits the calculated symptom data via cell towers, land phone lines, satellite, radio frequencies or cable to the remote internet site for analysis and data storage.

7 . The system of claim 1 , wherein the calculated symptom data distinguishes in part between central and obstructive apnea symptoms.

8 . The system of claim 1 , the PAP device further integrating a chemical treatment device and wherein the transmitted calculated symptom severity data output is used to adjust the PAP device for chemically treating a subject's sleep disorder or symptoms with the integrated chemical treatment device.

9 . The system of claim 8 , wherein the chemical treatment device is either a nebulizer or a controlled pump that feed directly into the PAP device.

10 . The system of claim 2 , wherein the PAP is adapted to command a signal processing module on the PAP device to reconfigure the output to the processor by improving the gain for the flow sensor signal or the A/D conversion of the signal.

11 . A system for remote internet server-based diagnostic monitoring with one or more positive airway pressure (PAP) device(s) for sleep disorder treatment system comprising:

one or more PAP device(s) with an enclosure further comprising:

a blower having an air output,

an airflow sensor internal to the PAP device adapted for measuring the respiratory airflow being delivered to a subject from and while using the PAP and outputting airflow sensor data;

a first processor adapted for receiving the airflow sensor data, and providing calculated symptom data of a severity of the subject's sleep disorder symptoms and/or an index of a subject's symptoms measured during use of the PAP device and data of usage of the PAP device;

an air output adapted for connecting a hose to a nasal cannula or a mask;

a sensor less mask or a sensor less nasal cannula and

a first radio frequency wireless transceiver; and

a first software stored on a non-transitory computer readable medium adapted to be downloaded and executed by a second processor on a base station or a cellular phone, the base station or the cellular phone each having a display for review by a patient being treated with the PAP device; and

a remote internet site for data storage with a second transceiver for receiving the calculated symptom data;

the first transceiver adapted for receiving and transmitting the calculated symptom data to the second transceiver of the remote internet site;

the first software for the base station; or cellular phone adapted for displaying a PAP therapy efficacy measure on the display of the base station or the cellular phone, the PAP therapy efficacy measure based on all or part of the calculated symptom data received from either the PAP device or from the remote internet site.

12 . The system of claim 11 , wherein the first transceiver of the PAP device is adapted for communicating with the second transceiver of the remote Internet site via cell towers, land phone lines, satellite, radio frequencies or cable.

13 . The system of claim 11 , wherein the PAP device further comprises an electronic component adapted to allow the PAP device to be adjusted remotely based in part on the calculated symptom data and/or an index of the subject's symptoms transmitted to the remote internet site.

14 . The system of claim 11 , wherein the software for the base station; or cellular phone is adapted to be reprogrammed or modified remotely.

15 . The system of claim 11 , wherein the airflow sensor data is processed using one or more of the signal processing techniques from the group consisting of a standard deviation technique, a recursively fit autoregressive moving average model with exogenous inputs system identification model, a short-time fourier transform technique, a time-frequency signal analysis with a variety of different kernals, and a wavelet analysis.

16 . The system of claim 11 , wherein the second transceiver is adapted to re-transmits data based at least in part on the calculated symptom data to the software of the base station or cellular phone via cell towers, land phone lines, satellite, radio frequencies or cable, the software further adapted to display a PAP therapy efficacy measure based on all or part the calculated symptom data on the base station; or cellular phone.

17 . The system of claim 11 , wherein the first transceiver also transmits the calculated symptom data to the software of the base station, cellular phone or PDA with a wireless protocol compliant with IEEE 802.15.1, the first software adapted to display a PAP therapy efficacy measure based on all or part the calculated symptom data on the base station or cellular phone.

18 . The system of claim 11 , wherein the calculated symptom data distinguishes in part between central and obstructive apnea symptoms.

19 . The system of claim 11 , the PAP device further integrating a chemical treatment device and wherein the transmitted calculated symptom severity data is used to adjust the chemical treatment device of the PAP device to further treat the subject's sleep disorder or symptoms.

20 . The system of claim 19 , wherein the chemical treatment device is either a nebulizer or a controlled pump that feed directly into the PAP device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 22, 2021
From: KAYYALI, HANI; SCHMIDT, ROBERT; MODARRES-ZADEH, MOHAMMAD; KOLKOWSKI, BRIAN
To: CLEVELAND MEDICAL DEVICES INC.
Reel/Frame 057878/0317 →
Continuity (3)
Continuation 16057963 · Aug 8, 2018
Continuation 13440116 · Apr 5, 2012
Continuation 11266899 · Nov 4, 2005
References Cited (73)
US 5424942A · Dong et al. · 1995 [cited by applicant]
US 5704345A · Berthon-Jones · 1998 [cited by applicant]
US 6167258A · Schmidt et al. · 2000 [cited by applicant]
US 6287264B1 · Hoffman · 2001 [cited by applicant]
US 6644311B1 · Truitt et al. · 2003 [cited by applicant]
US 6993380B1 · Modarres · 2006 [cited by applicant]
US 8069852B2 · Burton et al. · 2011 [cited by applicant]
US 8187209B1 · Giuffrida · 2012 [cited by applicant]
US 10076269B1 · Kayyali · 2018 [cited by examiner]
US 11375921B1 · Kayyali · 2022 [cited by examiner]
US 11602284B1 · Kayyali · 2023 [cited by examiner]
US 11786680B1 · Kayyali · 2023 [cited by examiner]
US 11857333B1 · Kayyali · 2024 [cited by examiner]
US 11872029B1 · Kayyali · 2024 [cited by examiner]
US 12213775B1 · Kayyali · 2025 [cited by examiner]
US 20010018557A1 · Lynn et al. · 2001 [cited by applicant]
US 20020022973A1 · Sun et al. · 2002 [cited by applicant]
US 20020165462A1 · Westbrook et al. · 2002 [cited by applicant]
US 20030066529A1 · Truschel et al. · 2003 [cited by applicant]
US 20030213489A1 · Mechlenberg et al. · 2003 [cited by applicant]
US 20030236450A1 · Kocinski · 2003 [cited by applicant]
US 20040073098A1 · Geva · 2004 [cited by examiner]
US 20040129838A1 · Lisy et al. · 2004 [cited by applicant]
US 20050115561A1 · Stahmann · 2005 [cited by examiner]
US 20050142070A1 · Hartley · 2005 [cited by examiner]
US 20050211249A1 · Wagner et al. · 2005 [cited by applicant]
US 20050239838A1 · Edgar et al. · 2005 [cited by applicant]
US 20050268912A1 · Normal et al. · 2005 [cited by applicant]
US 20060173257A1 · Nagai et al. · 2006 [cited by applicant]
US 20070155208A1 · Pirzada · 2007 [cited by applicant]
US 20070161913A1 · Farrell et al. · 2007 [cited by applicant]
US 20080257349A1 · Hedner · 2008 [cited by examiner]
US 20160193437A1 · Bao et al. · 2016 [cited by applicant]
US 20180199882A1 · Klee et al. · 2018 [cited by applicant]
WO 2002078775A2 · 2002 [cited by applicant]
WO 2005028029A2 · 2005 [cited by applicant]
WO 2005096737A2 · 2005 [cited by applicant]
WO 2021152526A1 · 2021 [cited by applicant]
ResMed AutoScan 5.7 Clinician's Manual, v. 1, 2005. [cited by applicant]
ResMed AutoScan 5.7 Clinician's Manual, v. 2, 2005. [cited by applicant]
ResMed AutoScan 5.7 Clinician's Manual, v. 3, 2005. [cited by applicant]
Jasemian et al., Evaluation of realtime, remote monitoring telemedicine system using the Bluetooth protocol and a mobile phone network, Journal of Telemedicine and Telecare 2005, vol. 11, Issue 5, at 256. [cited by applicant]
Woodward et al., Wireless Telemedicine: The Next Step, 4th Int'l IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003, at 43. [cited by applicant]
Rasid et al., Bluetooth Telemedicine Processor for Multichannel Biomedical Signal Transmission via Mobile Cellular Networks, IEEE Transactions on Information Technology in Biomedicine, vol. 9, No. 1, Mar. 2005, at 35. [cited by applicant]
Mohd Fadlee A Rasid, Multi-Channel GPRS-Based Mobile Telemedicine System With Bluetooth and J2ME Interfaces, Doctoral Thesis, Department of Electronic and Electrical Engineering, Loughborough University (Oct. 2005). [cited by applicant]
D. Alan Lankford, Wireless CPAP Patient Monitoring: Accuracy Study, Telemedicine Journal and e-Health, vol. 10, No. 2, 2004, at 162. [cited by applicant]
R. Paradiso, et al., Wearable Health Care System for Vital Signs Monitoring, 4thAnnual IEEE Conf. on Information Technology Applications in Biomedicine, 2003, at 283. [cited by applicant]
M. J. Moron, E. Casilari, R. Luque and J. A. Gazquez, A wireless monitoring system for pulse-oximetry sensors, 2005 Systems Communications (ICW'05, ICHSN'05, ICMCS'05, SENET'05), 2005, at 79-84. [cited by applicant]
Guilleminault C, van den Hoed J, and Mitler MM, Clinical overview of the sleep apnea syndromes. In: C Guilleminault and WC Dement (Eds), Sleep Apnea Syndromes, Alan R Liss, New York, 1978, pp. 1-12. [cited by applicant]
Christian Guilleminault and Vivien C. Abad, Obstructive sleep apnea syndromes, Med. Clin. N. Am. 88, 2004, pp. 611-630. [cited by applicant]
Francoise J. Roux and Janet Hilbert, Continuous positive airway pressure: new generations, Clin. Chest Med. 24, 2003, at 315-342. [cited by applicant]
The AASM Manual for the Scoring of Sleep and Associated Events, 2007. [cited by applicant]
Kirianaki, et al., Data Acquisition and Signal Processing for Smart Sensors, 2002, John Wiley & Sons Ltd. [cited by applicant]
Elena, et al., Design of a Mobile Telecardiology System Using GPRS/GSM Technology, Engineering in Medicine and Biology, 2002, Departamento Ingeniería Electrónica, Escuela Superior Ingenieros. [cited by applicant]
ResMed AutoSet T Service Manual. [cited by applicant]
ResMed AutoSet Spirit Service Manual 1. [cited by applicant]
ResMed AutoSet Spirit Service Manual 2. [cited by applicant]
ResMed AutoSet Spirit Service Manual 3. [cited by applicant]
ResMed AutoSet Spirit, AutoSet Respond, S7 Elite Service Manual. [cited by applicant]
Resmed S7 Elite Clinician's Manual. [cited by applicant]
ResMed AutoSet Spirit, AutoSet Respond, AutoSet S7 Elite Service Manual. [cited by applicant]
ResMed AutoSet Spirit, AutoSet Respond, AutoSet S7 Elite Service Manual 2. [cited by applicant]
ResMed S8 AutoSet Vantage System Clinician's Manual. [cited by applicant]
ResMed S8 Elite/AutoSet Service Manual. [cited by applicant]
ResMed ResLink Service Manual. [cited by applicant]
ResMed ResTraxx Quick Reference Guide. [cited by applicant]
ResMed AutoSet Respond Clinician's Manual. [cited by applicant]
ResMed ResTraxx Wireless Patient Monitoring Flyer. [cited by applicant]
ResMed ResTraxx Wireless Patient Monitoring Atlas. [cited by applicant]
ResMed FDA 510(k) application letter. [cited by applicant]
ResMed FDA 510(k) application summary. [cited by applicant]
ResMed VPAP III & VPAP II Series Data Management Guide. [cited by applicant]
ResMed VPAP II Clinician's Guide. [cited by applicant]