Method and system for processing data from ambulatory physiological monitoring

• US 9,277,871 B2
• Filed: 01/27/2012
• Issued: 03/08/2016
• Est. Priority Date: 11/18/2003
• Status: Active Grant

• Current Assignee: Adidas AG
• Original Assignee: Adidas AG
• Inventors: Keenan, Desmond B., Coyle, Michael
• Primary Examiner(s): Natnithithadha, Navin
• Application Number:
  US13/359,893
• Publication Number:
  US 20120184826A1
• Time in Patent Office: 1,502 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• 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 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/0806 by whole-body plethysmography measuring blood flow using plethysmography A61B5/0295; impedance plethysmography A61B5/053; measuring volume of the body or parts thereof A61B5/1073
• CPC Class Codes: A61B 5/085 Measuring impedance of respiratory organs or lung elasticity
• CPC Class Codes: A61B 5/1073 Measuring volume, e.g. of limbs
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• 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 5/4803 Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence

Abstract

This invention provides methods and systems for the analysis of data returned from monitoring multiple physiological parameters of a subject, especially from ambulatory multiple parameter monitoring. The methods and systems remove motion artifacts from signals and separate multiple components of single signals due to two or more physiological systems or processes. Each output signal is are preferably free from motion artifacts and reflects primarily functioning of only a single physiological system or process.

Claims

1. A system for processing physiological sensor signal data comprising:

a wearable construction comprising one or more sensors sensitive to one or more physiological systems or processes including motion activity; and

computer memory comprising computer instructions to

retrieve a plurality of physiological sensor signals from said wearable construction when worn by a monitored subject during periods comprising unconstrained activities, said retrieved sensor signals comprising reference signals sensitive to said motion activity; and

enhance desired physiological components relative to undesired motion artifact components in one or more retrieved sensor signals, said enhancing comprising adaptively processing said sensor signals jointly with one or more of said reference signals in order to reduce an error signal, wherein the sensor signals and reference signals are sampled at a single common sampling rate.

2. The system of claim 1 wherein said unconstrained activities comprise normal daily activities of said subject.

3. The system of claim 1 wherein said wearable construction comprises a band for encircling a body part, or a garment for all or part of the trunk, or a garment for all or part of the trunk and all or part of one or more extremities, or two or more of said bands or said garments.

4. The system of claim 1 where said reference sensors comprise one or more accelerometers.

5. The system of claim 1, wherein said sensor signals and said reference signals are re-sampled at a second single common sampling rate.

6. The system of claim 1 further comprising re-sampling one or more sensor signals at a second single common sampling rate.

7. The system of claim 1 further comprising de-trending one or more of said sensor signals and said reference signals.

8. The system of claim 1 wherein said desired physiological systems of processes comprise respiratory activity, or cardiac activity, or electroencephalographic activity.

9. The system of claim 1 wherein said error signal is a difference between processed retrieved sensor signals and processed reference sensor signals.

10. The system of claim 1 wherein said reducing said error signal further comprises adjusting weights of a finite impulse response filter by a least means squares technique.

11. The system of claim 1 wherein the functioning of one or more physiological systems or processes varies during subject activity, and wherein sensor signals sensitive to said varying physiological systems or processes have varying signal characteristics.

12. The system of claim 1 wherein said retrieved sensor signals are adaptively processed to enhance desired components relative to artifact components.

13. A computer memory comprising computer instructions for processing sensor signals arising from a plurality of sensors sensitive to a plurality of physiological systems or processes of a monitored subject, by performing:

adaptively enhancing desired physiological components relative to undesired artifact components in one or more sensor signals monitored from said subject during periods comprising unconstrained activity; and

adaptively enhancing components sensitive to desired physiological systems or processes relative to components sensitive to other undesired physiological systems or processes in one or more of the sensor signals that have adaptively enhanced physiological components, wherein the sensor signals are sampled at a single common sampling rate.

14. The computer memory of claim 13 further comprising one or more CD-ROMS.

15. The computer memory of claim 13, further comprising one or more memories accessible to one or more processors.