Method and system for removing noise by using change in activity pattern

• US 20070173734A1
• Filed: 04/12/2006
• Published: 07/26/2007
• Est. Priority Date: 10/07/2005
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Kim, Youn, Shin, Kun
• Granted Patent: US 7,620,450 B2
• Time in Patent Office: Days
• US Class Current: 600/546
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/6833 Adhesive patches
• 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 5/726 using Wavelet transforms

Abstract

A noise removal method and system using a change in activity pattern, in which it is recognized that noise components exist in different frequency bands and different filters for removing noise are stored according to each activity pattern, thereby optimally removing the noise components. A method of removing noise by using a change in an activity pattern includes: recognizing an activity pattern of the subject using an activity sensor; sensing a first bio signal corresponding to the activity pattern from the subject using an electric potential sensor; recognizing a noise generation pattern according to the activity pattern by analyzing a noise component for each section of the first bio signal; selecting filter information for each section according to the noise generation pattern; storing the filter information selected for each section in association with the activity pattern; and removing noise from a second bio signal sensed from the subject by applying the stored filter information.

Claims

1. A method of removing noise by using a change in an activity pattern, comprising:

recognizing an activity pattern of the subject using an activity sensor;

sensing a first bio signal corresponding to the activity pattern from the subject using an electric potential sensor;

recognizing a noise generation pattern according to the activity pattern by analyzing a noise component for each section of the first bio signal;

selecting filter information for each section according to the noise generation pattern;

storing the filter information selected for each section in association with the activity pattern; and

removing noise from a second bio signal sensed from the subject by applying the stored filter information.

2. The method of claim 1, further comprising maintaining a memory unit in which the selected filter information is recorded, corresponding to the recognized activity pattern,

wherein the removing the noise of the second bio signal comprises:

recognizing the activity pattern of the subject from accelerated movement of the subject;

searching filter information corresponding to the recognized activity pattern from the memory unit; and

removing noise by applying a filter designated by the searched filter information, with respect to a certain section of the second bio signal.

3. The method of claim 1, wherein the recognizing the noise generation pattern comprises:

transforming the first bio signal from a time domain to a frequency domain; and

identifying a noise component from the transformed first bio signal and checking a frequency band of the identified noise component.

4. The method of claim 3, wherein, in the transforming the first bio signal from the time domain to the frequency domain, the first bio signal is transformed into the frequency domain by one of short time Fourier transform and wavelet transform.

5. The method of claim 3, wherein, in the selecting filter information, a filter eliminating a signal with respect to the frequency band of the identified noise component is determined.

6. The method of claim 1, wherein one of the first and second bio signals is sensed by a sensing unit removably contacting a part of the subject.

7. The method of claim 1, wherein the identified noise component includes one of baseline drift and an electromyogram signal, and

the selecting filter information comprises:

determining a high pass filter as a filter eliminating a baseline drift; and

determining a low pass filter as a filter eliminating an electromyogram signal.

8. The method of claim 1, wherein the first bio signal is the same as the second bio signal.

9. A system for removing noise by using a change in an activity pattern, comprising:

a motion sensing unit recognizing an activity pattern of the subject using an activity sensor;

a bio sensing unit sensing a first bio signal corresponding to the activity pattern from the subject using an electric potential sensor;

a filter information generation unit recognizing a noise generation pattern according to the activity pattern by analyzing a noise component for each section of the first bio signal and selecting filter information for each section according to the noise generation pattern; and

a filtering unit storing the filter information selected for each section in association with the activity pattern and removing noise from a second bio signal sensed from the subject by applying the stored filter information.

10. The system of claim 9, wherein the filtering unit comprises:

a high pass filter eliminating baseline drift as the noise component; and

a low pass filter eliminating an electromyogram signal as the noise component.

11. A computer-readable storage medium encoded with processing instructions for causing a processor to execute a method of removing noise by using a change in an activity pattern, the method comprising:

recognizing an activity pattern of the subject using an activity sensor;

sensing a first bio signal corresponding to the activity pattern from the subject using an electric potential sensor;

recognizing a noise generation pattern according to the activity pattern by analyzing a noise component for each section of the first bio signal;

selecting filter information for each section according to the noise generation pattern;

storing the filter information selected for each section in association with the activity pattern; and

removing noise from a second bio signal sensed from the subject by applying the stored filter information.