Deep-learning based peak detection in biological signal
AssigneesSony Group Corporation, Sony Corporation of America
InventorsWanxin Xu, Ko-Kai Albert Huang
Life of this patent
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Abstract
An electronic device and a method for implementation for deep-learning based peak detection in biological signal. The electronic device receives a biological signal associated with a user. The electronic device detects a first peak and a first trough associated with the first peak, from the received biological signal. The electronic device applies a local search algorithm on the received biological signal. The electronic device refines the detected first peak and the first trough based on the application of the local search algorithm on the received biological signal. The electronic device determines a health condition associated with the user based on the refined first peak and the first trough.
Claims18
An electronic device, comprising:
- circuitry configured to:
- receive a biological signal associated with a user;
- apply a low-pass filter on the received biological signal;
- remove a noise component from the received biological signal based on the application of the low-pass filter on the received biological signal;
- determine a denoised signal based on the removal of the noise component from the received biological signal;
- detect each of a first peak and a first trough associated with the first peak, from the determined denoised signal;
- apply a local search algorithm on the determined denoised signal;
- refine each of the detected first peak and the detected first trough based on the application of the local search algorithm on the determined denoised signal;
- and
- determine a health condition associated with the user based on the refined first peak and the refined first trough.
A method, comprising:
- in an electronic device:
- receiving a biological signal associated with a user;
- applying a low-pass filter on the received biological signal;
- removing a noise component from the received biological signal based on the application of the low-pass filter on the received biological signal;
- determining a denoised signal based on the removal of the noise component from the received biological signal;
- detecting, each of a first peak and a first trough that is associated with the first peak, from the determined denoised signal;
- applying a local search algorithm on the determined denoised signal;
- refining each of the detected first peak and the detected first trough based on the application of the local search algorithm on the determined denoised signal;
- and
- determining a health condition associated with the user based on the refined first peak and the refined first trough.
A non-transitory computer-readable medium having stored thereon, computer-executable instructions that when executed by an electronic device, causes the electronic device to execute operations, the operations comprising:
- receiving a biological signal associated with a user;
- applying a low-pass filter on the received biological signal;
- removing a noise component from the received biological signal based on the application of the low-pass filter on the received biological signal;
- determining a denoised signal based on the removal of the noise component from the received biological signal;
- detecting each of a first peak and a first trough that is associated with the first peak, from the determined denoised signal;
- applying a local search algorithm on the determined denoised signal;
- refining each of the detected first peak and the detected first trough based on the application of the local search algorithm on the determined denoised signal;
- and
- determining a health condition associated with the user based on the refined first peak and the refined first trough.
Dependencies are inferred from the claim text.