Wireless health monitoring in the setting of X-ray, magnetic resonance imaging and other sources of electromagnetic interference

• US 9,610,016 B2
• Filed: 08/27/2014
• Issued: 04/04/2017
• Est. Priority Date: 08/27/2014
• Status: Active Grant

• Current Assignee: Vladimir Shusterman
• Original Assignee: Vladimir Shusterman
• Inventors: Shusterman, Vladimir
• Primary Examiner(s): Pandya, Sunit
• Application Number:
  US14/470,923
• Publication Number:
  US 20160058301A1
• Time in Patent Office: 951 Days
• Field of Search: None
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0263 using NMR
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• 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 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F

Abstract

This multipurpose, modular system provides diagnostic-quality, wireless, multichannel monitoring in diverse settings, including interventional procedures guided by X-ray and MRI, with variable electromagnetic interference (EMI) and eliminates the need for multiple detachments/reattachments of patient cables when the patient is moved from one room/procedure to another. The system includes: 1) multiple filterbanks (filtering procedures) for recording both diagnostic-quality (broad-band) signals in the absence of EMI and narrow-band signals in the presence of EMI, with subsequent reconstruction of diagnostic-quality signals from the narrow-band signals; 2) filtering of EMI, using a priori and adaptive criteria about differences between the EMI and physiological signals'"'"' characteristics; 3) filtering of the magneto-hydrodynamic effect, using physiological measurements at different distances from the magnet (i.e., at different strengths of magnetic field) and changes in blood flow and blood pressure; and 4) multiple wireless transmitters for increasing reliability and speed (throughput) of the wireless data transmission.

Claims

1. A system adapted for physiological monitoring of an individual'"'"'s health data in the presence of variable electromagnetic interference (EMI), including EMI generated by gradient magnetic field (GMF-interference), whose frequency spectrum often overlaps with that of an individual'"'"'s physiological signals, said system comprising:

at least one acquisition module that includes at least two sensors adapted to be placed onto an individual'"'"'s skin for collecting at least one physiological signal by substantially continuous monitoring said health data;

at least one communication module that includes at least one transmitter for receiving and transmitting said at least one physiological signal; and

at least one processing module for receiving said at least one physiological signal from said communication module and processing said at least one physiological signal, said module including;

at least one GMF-detector for detection of GMF interference on a continuous, time-domain basis, including at least parameter selected GMF amplitude, derivative, waveform, the beginning and ending of GMF interference, by extracting at least one feature of said physiological signal on a substantially continuous basis and comparing said at least one feature with thresholds to detect at least one part of the signal that exceeds said thresholds, wherein threshold values are represented by at least one at least one value selected from constant value, automatically adapted value, and manually adapted value;

at least one filter for filtering said GMF interference from said physiological signal using at least one signal processing operation selected from bitwise shift operation, voltage division, voltage multiplication, pattern recognition, template matching and wavelet-based filtering tailored to the time-domain characteristics of patterns of the GMF interference; and

at least one section for processing said physiological signal after removal of GMF interference by performing at least one signal processing operation selected from low-pass filtering, high-pass filtering, band-pass filtering, signal averaging, reconstruction and singular value decomposition.

2. A system as set forth in claim 1 in which said at least two sensors are adapted to collect at least one signal selected from electrocardiographic (ECG), electrophysiological, electroencephalogram, and electromyogram signals.

3. A system as set forth in claim 1 in which said at least one transmitter is wireless.

4. A system as set forth in claim 1 in which said processing module utilizes at least two measurements of at least one signal selected from blood flow and blood pressure to estimate changes in the magneto-hydrodynamic effect.

5. A system as set forth in claim 1 which includes at least two wireless transmitters located within a single transmission module to improve at least one parameter selected from transmission speed and reliability by providing at least one type of operation selected from synchronous, asynchronous, parallel and independent transmission.

6. A system as set forth in claim 1, in which said at least one processing module includes at least two parallel filterbanks.

7. A system as set forth in claim 1, which includes switchable filterbanks.

8. A system as set forth in claim 7 in which said switchable filterbanks are selected from at least one electronic, mechanical and programmable switch.

9. A system adapted for physiological monitoring of an individual'"'"'s health data in the presence of variable electromagnetic interference (EMI), including EMI generated by gradient magnetic field (GMF-interference), whose frequency spectrum often overlaps with that of an individual'"'"'s physiological signals, said system comprising:

at least one acquisition module that includes at least two sensors adapted to be placed onto an individual'"'"'s skin for collecting at least two physiological signals of an individual'"'"'s health data including at least one ECG signal by substantially continuous monitoring said health data;

at least one communication module for receiving and transmitting wirelessly said at least two signals of an individual'"'"'s health data, using at least two wireless transmitters located within a single transmission module to improve at least one parameter selected from transmission speed and reliability by providing at least one type of operation selected from synchronous, asynchronous, parallel and independent transmission; and

at least one processing module for receiving said at least two signals from said communication module and processing said at least two signals, said module including;

at least one GMF-detector for detection of GMF interference on a continuous, time-domain basis, including at least parameter selected GMF amplitude, derivative, waveform, the beginning and ending of GMF interference, by extracting at least one feature of said signals on a substantially continuous basis and comparing said at least one feature with thresholds to detect at least one part of the signals that exceeds said thresholds, wherein threshold values are represented by at least one at least one value selected from constant value, automatically adapted value, and manually adapted value;

parallel filter banks for filtering said GMF interference from said physiological signals using at least one signal processing operation selected from bitwise shift operation, voltage division, voltage multiplication, pattern recognition, template matching and wavelet-based filtering tailored to the time-domain characteristics of patterns of the GMF interference; and

at least one section for processing said physiological signals after removal of GMF interference, which performs at least one signal processing operation selected from low-pass filtering, high-pass filtering, band-pass filtering, signal averaging, reconstruction and singular value decomposition.

10. A system as set forth in claim 9 in which said wireless transmitters are selected from Bluetooth, Wi-Fi, Zigbee, infrared, and other types of wireless transmitters.

11. A system as set forth in claim 9 in which said wireless transmitters are arranged in at least one type of operation selected from synchronous, asynchronous, parallel and independent transmission.

12. A system as set forth in claim 9 in which said at least two wireless transmitters operate on two different frequencies.

13. A system as set forth in claim 9 in which at least one of said at least two wireless transmitters serves as a primary transmitter and at least one of said at least two wireless transmitters serves as a backup transmitter for said primary transmitter.

14. A method adapted for physiological monitoring physiological data of an individual'"'"'s health data in the presence of variable electromagnetic interference (EMI), including EMI generated by gradient magnetic field (GMF-interference), whose frequency spectrum often overlaps with physiological signals, said method comprising:

collecting at least one physiological signal of an individual'"'"'s health data by substantially continuous monitoring said health data;

receiving and transmitting said at least one physiological signal to a processing unit; and

conditioning said at least one physiological signal in said processing said at least one signal by detecting GMF-interference on a continuous, time-domain basis, including at least one parameter selected from GMF amplitude, derivative, waveform, the beginning and ending of GMF-interference, by extracting at least one feature of said signal on a substantially continuous basis and comparing said at least one feature with thresholds to detect at least one feature of the signal that exceeds said thresholds, wherein threshold values are represented by at least one value selected from constant value, automatically adapted value, and manually adapted value,

filtering said GMF from said at least one physiological signal using at least one signal processing operation selected from bitwise shift operations, voltage division, voltage multiplication, pattern recognition, template matching and wavelet-based filtering tailored to the time-domain characteristics and/or patterns of the GMF signals; and

processing said physiological signal after removal of GMF, which performs at least one of signal processing operation selected from low-pass filtering, high-pass filtering, band-pass filtering, signal averaging, reconstruction and singular value decomposition.

15. A method as set forth in claim 14, which further includes collecting, conditioning and filtering at least two physiological signals from an individual'"'"'s health data.

16. A method as set forth in claim 14 in which said collecting of said at least one physiological signal is performed using at least two wireless transmitters located within a single transmission module.

17. A method as set forth in claim 14, which further includes estimating the magnitude of the magneto-hydrodynamic effect based on changes in said at least one physiological signal selected from blood pressure, arterial pressure wave and blood flow.

18. A method as set forth in claim 17, in which said at least one physiological signal is obtained using at least one measurement selected from the MR-based measurements of blood flow, arterial pressure waves and/or blood volume, intra-arterial blood pressure, intra-cardiac blood pressure, venous blood pressure, noninvasively measured blood pressure, photoplethysmography, plethysmography, electrical impedance, pulse oximetry, accelerometry, acoustic waves, ultrasound, infrared and other optical, mechanical and electrical signals obtained from subject'"'"'s body.

19. A method as set forth in claim 14 in which said at least one physiological signal that is collected and processed includes at least one electrocardiographic (ECG) signal.