Devices and methods for sleep disorder diagnosis and treatment
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
A61B-005/085
A61M-016/00
A61B-005/00
A61B-005/0205
출원번호
US-0440116
(2012-04-05)
등록번호
US-10076269
(2018-09-18)
발명자
/ 주소
Kayyali, Hani
Schmidt, Robert
Modarres-Zadeh, Mohammad
Kolkowski, Brian
출원인 / 주소
Cleveland Medical Devices Inc.
대리인 / 주소
Kolkowski, Brian
인용정보
피인용 횟수 :
0인용 특허 :
33
초록
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.
대표청구항▼
1. A positive airway pressure (PAP) sleep disorder treatment system comprising: a signal processing module comprising a first input adapted for connecting to a pulse oximeter sensor with a signal, electronics adapted for filtering and processing the signal, and an output adapted for outputting pulse
1. A positive airway pressure (PAP) sleep disorder treatment system comprising: a signal processing module comprising a first input adapted for connecting to a pulse oximeter sensor with a signal, electronics adapted for filtering and processing the signal, and an output adapted for outputting pulse oximetry sensor data;a PAP device adapted for treating a subject's sleep disorder, the PAP device with a separate enclosure from the signal processing module further comprising: a blower having an air output,a second input adapted for receiving the pulse oximetry sensor data from the output of the signal processing module,an airflow sensor internal to the PAP device adapted for measuring the respiratory airflow data of a subject using the PAP device, anda processor adapted for receiving the pulse oximetry sensor data from the second input and the respiratory airflow data from the airflow sensor and calculating, based in part on both the respiratory airflow data and the pulse oximetry sensor data, sleep disorder symptom data of a level of severity and/or an index of a level of severity of the subject's sleep disorder symptoms measured during use of the PAP device;a mask or a nasal cannula; anda module transceiver adapted for receiving and transmitting the sleep disorder symptom data of the level of severity and/or the index of the level of severity of the subject's sleep disorder symptoms to a remote location. 2. The system of claim 1 wherein the second input in the PAP device and the output in the signal processing module are in wireless radio frequency bidirectional communication. 3. The system of claim 2 wherein the PAP device is adapted to command the signal processing module to reconfigure the output in the signal processing module by improving the gain for the signal or the A/D conversion of the signal. 4. The system of claim 1 wherein the signal is processed by the signal processing module using one or more of the signal processing techniques from the group consisting of a standard deviation technique, a recursively fit ARMAX system identification model, a short-time Fourier transform technique, a time-frequency signal analysis with a variety of different kernels, and a wavelet analysis. 5. A sleep disorder treatment system comprising: a data acquisition system;a positive airway pressure (PAP) device; anda processor;the data acquisition system consisting essentially of a data acquisition device having at least one first input adapted for receiving a first signal from a pulse oximeter sensor, an electronic component adapted for filtering and processing the first signal from the pulse oximeter sensor to remove artifacts, and a first output adapted for transmitting pulse oximeter sensor data based on the first signal from the pulse oximeter sensor to the PAP device;the PAP device comprising: a hose,a blower,an airflow sensor with a second signal adapted for measuring respiratory airflow of a subject,a second input for receiving pulse oximetry sensor data from the data acquisition device; anda mask or nasal cannula for treating a subject's sleep disorder symptoms; andthe processor adapted for receiving pulse oximetery sensor data from the second input and the respiratory airflow data from the airflow sensor, the processor further adapted for calculating, based in part on both data from the respiratory airflow and pulse oximetry sensors, sleep disorder symptom data of a level of severity and/or index of a level of severity of the subject's symptoms measured during the subject's use of the PAP device, the processor adapted to be either part of or external to the PAP device and having a second output, the second output adapted for providing sleep disorder symptom data and/or the index of the level of severity of the subject's symptoms to a nonvolatile memory to be used for later transmission of the sleep disorder symptom data and/or the index of the level of severity of the subject's symptoms to a remote location. 6. The sleep disorder treatment system of claim 5 wherein the first signal is processed by the signal processing module using one or more of the signal processing techniques from the group consisting of a standard deviation technique, a recursively fit ARMAX system identification model, a short-time Fourier transform technique, a time-frequency signal analysis with a variety of different kernels, and a wavelet analysis. 7. The sleep disorder treatment system of claim 5 wherein the first output in the data acquisition system and the second input in the PAP device are in wireless bidirectional radio frequency communication. 8. A sleep disorder treatment system comprising: a data acquisition system, the data acquisition system comprising a data acquisition device having inputs for receiving signals from at least one physiological sensor, the data acquisition system for creating an output of the level of severity of a subject's sleep disorder or symptoms based in part on the signals from the at least one physiological sensor; anda positive airway pressure apparatus for providing pressurized air and dosing and chemically treating a subject's sleep disorder or symptoms with a pharmaceutical agent, the positive airway pressure apparatus comprising a controller adapted to adjust the pharmaceutical agent, at least in part, using the output of the level of severity of the subject's sleep disorder from the data acquisition system. 9. The sleep disorder treatment system of claim 8 wherein the at least one physiological sensor comprises a pulse oximeter sensor. 10. The sleep disorder treatment system of claim 9 wherein the at least one physiological sensor further comprises a respiratory effort sensor. 11. The sleep disorder treatment system of claim 8 wherein the output of the level of severity from the data acquisition system is transmitted wirelessly by bidirectional radio frequency between the data acquisition system and a receiver in the positive airway pressure apparatus. 12. The sleep disorder treatment system of claim 11 wherein the controller is adapted to command a signal processing module in the data acquisition system to reconfigure the output of the data acquisition system. 13. The sleep disorder treatment system of claim 8 wherein the positive airway pressure apparatus comprises a nebulizer or a controlled pump to administer the pharmaceutical agent. 14. The sleep disorder treatment system of claim 8 wherein the signals from the at least one physiological sensor are processed by a signal processing module in the data acquisition system using one or more of the signal processing techniques from the group consisting of a standard deviation technique, a recursively fit ARMAX system identification model, a short-time Fourier transform technique, a time-frequency signal analysis with a variety of different kernels, and a wavelet analysis. 15. A positive airway pressure (PAP) sleep disorder treatment system comprising: a PAP device 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 of a subject while using the PAP and outputting airflow sensor data;a processor adapted for receiving the airflow sensor data, and calculating both 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;a mask or a nasal cannula;a first radio frequency wireless module transceiver; anda base station, cellular phone, or PDA;the first radio frequency wireless module transceiver adapted for receiving and transmitting the symptom data of the 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 the data of usage to the base station, cellular phone or PDA;the base station, cellular phone, or PDA comprising a second radio frequency wireless module transceiver, a processor, a software, and a display, the base station, cellular phone, or PDA adapted to display the symptom data of the severity of the subject's sleep disorder symptoms and/or the index of the subject's symptoms, and to retransmit the symptom data of the severity of the subject's sleep disorder symptoms and/or the index of the subject's symptoms and the data of usage received from the PAP device to a remote internet site. 16. The system of claim 15, wherein the first radio frequency wireless module transceiver of the PAP device and the second radio frequency wireless module transceiver of the base station, cellular phone or PDA communicate using Bluetooth wireless protocol. 17. The system of claim 15, wherein the index of the subject's symptoms is a respiratory disturbance index. 18. The system of claim 15, wherein the PAP device further comprises an electronic component adapted to allow the PAP device to be adjusted remotely based on the symptom data of the severity of the subject's sleep disorder and/or the index of the subject's symptoms transmitted to the remote internet site. 19. The system of claim 15, wherein the base station, cellular phone or PDA is adapted to be reprogrammed or modified remotely. 20. The system of claim 15, 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 ARMAX system identification model, a short-time Fourier transform technique, a time-frequency signal analysis with a variety of different kernels, and a wavelet analysis.
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