NETWORKED SENSOR SYSTEMS FOR REMOTE PATIENT MONITORING

• US 20150289804A1
• Filed: 04/21/2015
• Published: 10/15/2015
• Est. Priority Date: 10/22/2012
• Status: Abandoned Application

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Kaiser, William J.
• Application Number:
  US14/691,915
• Publication Number:
  US 20150289804A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/398 Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4818 Sleep apnoea

Abstract

A remote patient monitoring system which is particularly well-suited for clinical out of center sleep testing (clinical OCST). Sensor nodes are grouped for wearing on the head, chest, and lower body of the patient. Sensor nodes wirelessly communicate sensor data to a nearby gateway, which communicates this data over a network (e.g., Internet) to one or more servers. The server(s) analyzes the sensor data for usage assurance, and to discern patient sleep patterns and characteristics. Guidance messages are generated by the system based on the analysis. Interfaces are provided to allow the patient to access their own information, and healthcare providers to access information collected regarding their patients.

Claims

1. An apparatus for remote patient monitoring, the apparatus comprising:

an array of patient monitoring sensor nodes configured for wearing by a patient, each patient monitoring sensor node configured for wirelessly communicating sensor data;

a gateway device configured for wirelessly receiving sensor data from said array of patient monitoring sensor nodes;

at least one server configured for connection to said gateway;

at least one processor on said at least one server; and

programming executable on said processor for processing patient sensor data, said processing comprising;

analyzing sensor data collected from said array of patient monitoring sensor nodes and storing results in a patient database; and

generating guidance messages to the patient based on said results.

2. The apparatus recited in claim 1, wherein said sensor nodes are grouped for wearing on different areas of a patient'"'"'s body.

3. The apparatus recited in claim 2, wherein said sensor nodes are grouped into packages for wearing on head, chest, and lower body of a patient.

4. The apparatus recited in claim 1, wherein said programming is configured for analyzing said sensor data for usage assurance.

5. The apparatus recited in claim 1, wherein said remote patient monitoring apparatus is a portable sleep testing device configured for performing out of center clinical sleep testing (clinical OCST).

6. The apparatus recited in claim 5, wherein said programming is configured for analyzing said sensor data to discern patient sleep patterns and characteristics.

7. The apparatus recited in claim 5, wherein said sensors comprise electrophysiology sensing, position and motion sensing, and usage assurance sensing.

8. The apparatus recited in claim 7, wherein said electrophysiology sensing is selected from the group of electrophysiology sensor types consisting of EEG, ECG, EOG and EMG.

9. The apparatus recited in claim 8, further comprising an active guard shield around said electrophysiology sensor, said guard shield coupled to a dry electrode analog processing section.

10. The apparatus recited in claim 7, wherein said sensors further comprise blood oxygen level sensing, tissue surface temperature sensing, and pressure sensing.

11. The apparatus recited in claim 7, wherein said sensors further comprise an audio interface configured for detecting sounds associated with certain sleep conditions.

12. The apparatus recited in claim 11, wherein said audio interface is configured for detecting sounds associated with snoring, sleep apnea, or a combination of snoring and sleep apnea.

13. The apparatus recited in claim 1, wherein said programming generates said guidance messages to the patient using forms of electronic communication selected from the group of electronic communication forms consisting of electronic mail, instant messaging, web services, media and FAX.

14. The apparatus recited in claim 1, wherein said programming is further configured for providing the patient and health-care providers access to patient-specific data through a user interface on said at least one server.

15. The apparatus recited in claim 1, wherein said programming is configured for maintaining a database of patient and remote patient monitoring apparatus registration information.

16. An apparatus for out of center clinical sleep testing, comprising:

an array of sleep monitoring sensor nodes (SMSN) configured for wearing by a patient, each patient monitoring sensor node configured for wirelessly communicating sensor data;

wherein said sensor nodes are grouped for wearing on head, chest, and lower body of the patient; and

wherein said sensors on said sensor nodes comprise electrophysiology sensing, position and motion sensing, and usage assurance sensors;

a gateway device configured for wirelessly receiving sensor data from said array of patient monitoring sensor nodes;

at least one server configured for connection to said gateway;

at least one processor on said at least one server; and

programming executable on said processor for processing patient sensor data, said processing comprising;

analyzing said sensor data for usage assurance;

analyzing sensor data collected from said array of sleep monitoring sensor nodes to discern patient sleep patterns and characteristics and storing results in a patient database; and

generating guidance messages to the patient based on said results.

17. The apparatus recited in claim 16:

wherein said electrophysiology sensing is selected from the group of electrophysiology sensor types consisting of EEG, ECG, EOG and EMG; and

wherein said electrophysiology sensing incorporates an active guard shield coupled to a dry electrode analog processing section.

18. The apparatus recited in claim 16, wherein said sensors further comprise an audio interface configured for detecting sounds associated with certain sleep conditions.

19. The apparatus recited in claim 18, wherein said audio interface is configured for detecting sounds associated with snoring, sleep apnea, or a combination of snoring and sleep apnea.

20. An apparatus for out of center clinical sleep testing, comprising:

an array of sleep monitoring sensor nodes (SMSN) configured for wearing by a patient, each patient monitoring sensor node configured for wirelessly communicating sensor data;

wherein said sensor nodes are grouped for wearing on head, chest, and lower body of the patient;

wherein said sensors on said sensor nodes comprise electrophysiology sensing, position and motion sensing, usage assurance sensors, and audio sensing;

wherein said electrophysiology sensing is selected from the group of electrophysiology sensor types consisting of EEG, ECG, EOG and EMG;

wherein said electrophysiology sensing incorporates an active guard shield coupled to a dry electrode analog processing section; and

wherein said audio sensing is configured for detecting sounds associated with snoring, sleep apnea, or a combination of snoring and sleep apnea;

a gateway device configured for wirelessly receiving sensor data from said array of patient monitoring sensor nodes;

at least one server configured for connection to said gateway;

at least one processor on said at least one server; and

programming executable on said processor for processing patient sensor data, said processing comprising;

analyzing said sensor data for usage assurance;

analyzing said sensor data for sounds and other characteristics associated with snoring, sleep apnea, or a combination of snoring and sleep apnea;

analyzing sensor data collected from said array of sleep monitoring sensor nodes to discern patient sleep patterns and characteristics and storing results in a patient database; and

generating guidance messages to the patient based on said results.