MONITORING APPARATUS FOR MONITORING A PHYSIOLOGICAL SIGNAL

• US 20130345585A1
• Filed: 02/08/2012
• Published: 12/26/2013
• Est. Priority Date: 03/11/2011
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Yin, Bin, Gopal Samy, Mathan Kumar
• Application Number:
  US14/003,469
• Publication Number:
  US 20130345585A1
• Time in Patent Office: Days
• US Class Current: 600/529
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/1135 by monitoring thoracic expansion
• 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
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The invention relates to a monitoring apparatus for monitoring a physiological signal. A segmentation unit (4) determines signal segments from a physiological signal, which correspond to periods of the physiological signal, a classification unit (5) classifies the signal segments into a valid class and a non-valid class based on characteristics related to the signal segments, and a physiological information determination unit (7) determines physiological information from at least one of i)signal segments classified into the valid class and ii) signal segments classified into the non-valid class. The physiological information can therefore be determined based on the knowledge whether the respective signal segment is valid or not. For example, a physiological parameter like a breathing rate can be determined depending on valid adapted segments of the physiological signal, which are adapted to periods of the physiological signal. This improves the quality of determining physiological information from a physiological signal.

Claims

1. A monitoring apparatus for monitoring a physiological signal, the monitoring apparatus comprising:

a physiological signal providing unit for providing a periodic physiological signal,

a segmentation unit for determining signal segments from the physiological signal, which correspond to periods of the physiological signal,

a classification unit for classifying the signal segments into a valid class and a non-valid class based on characteristics related to the signal segments,

a physiological information determination unit for determining physiological information from at least one of i) signal segments classified into the valid class and ii) signal segments classified into the non-valid class.

2. The monitoring apparatus as defined in claim 1, wherein the segmentation unit is adapted to:

find valleys in the physiological signal,

determine a signal segment as a segment of the physiological signal between two neighbored valleys.

3. The monitoring apparatus as defined in claim 1, wherein the segmentation unit is adapted to:

find valleys in the physiological signal,

apply a set of predefined rules to characteristics of the physiological signal around the found valleys, wherein the set of rules defines whether a found valley is a start or an end of a period of the physiological signal based on the characteristics of the physiological signal around the found valleys,

discard the found valleys which do not define a start or an end of a period,

determine a signal segment as a segment of the physiological signal between two neighbored non-discarded valleys.

4. The monitoring apparatus as defined in claim 3, wherein the segmentation unit is adapted to:

apply a set of rules according to which at least one of the amplitude, skewness and slope of the physiological signal before the respective found valley is compared with that of the respective physiological signal after the respective found valley,

determine whether the respective found valley is caused by a beginning or an end of a period of the physiological signal depending on the comparison.

5. The monitoring apparatus as defined in claim 1, wherein the classification unit is adapted to classify the signal segments based on at least one of the temporal, the spectral and the spatial characteristics of the respective signal segment.

6. The monitoring apparatus as defined in claim 1, wherein the physiological signal is an accelerometer signal measured by an accelerometer and wherein the classification unit is adapted to classify the signal segments based on a rotation angle defining a rotation of the accelerometer while the respective signal segment has been measured.

7. The monitoring apparatus as defined in claim 1, wherein the classification unit is adapted to use a decision tree classifier for classifying the signal segments into a valid class and a non-valid class.

8. The monitoring apparatus as defined in claim 1, wherein the classification unit further adapted to determine an accuracy value being indicative of the accuracy of classifying a signal segment into the valid class or the non-valid class depending on the respective signal segment.

9. The monitoring apparatus as defined in claim 1, wherein the monitoring apparatus further comprises a classification correction unit for correcting the classification of the signal segments into the valid class and the non-valid class.

10. The monitoring apparatus as defined in claim 1, wherein the physiological information determination unit adapted to determine at least one of i) a physiological parameter as the physiological information from the signal segments classified into the valid class and ii) a physiological pattern as the physiological information from the signal segments classified into the valid class and from the signal segments classified into the non-valid class.

11. The monitoring apparatus as defined in claim 10, wherein the physiological signal providing unit is adapted to provide a breathing signal as the physiological signal and wherein the physiological information determination unit is adapted to determine the respiration rate as the physiological parameter from the signal segments classified into the valid class.

12. The monitoring apparatus as defined in claim 1, wherein the monitoring apparatus further comprises a pre-processing unit for pre-processing the physiological signal by performing at least one of the following:

filtering, normalization, offset removing, down-sampling.

13. The monitoring apparatus as defined in claim 12, wherein the physiological signal providing unit is adapted to provide three physiological signals, which correspond to three axes of a tri-axial accelerometer, wherein the pre-processing unit is adapted to fuse the three physiological signals to a single physiological signal.

15. A monitoring computer program for monitoring a physiological signal, the monitoring computer program comprising program code means for causing a monitoring apparatus as defined in claim 1 to carry out the steps of the monitoring method, when the computer program is rim on a computer controlling the monitoring apparatus.

14. A monitoring method for monitoring a physiological signal, the monitoring method comprising:

providing a periodic physiological signal by a physiological signal providing unit,

determining signal segments from the physiological signal, which correspond to periods of the physiological signal, by a segmentation unit,

classifying the signal segments into a valid class and a non-valid class based on characteristics related to the signal segments by a classification unit,

determining physiological information from at least one of i) signal segments classified into the valid class and ii) signal segments classified into the non-valid class by a physiological information determination unit.