Heart rate estimation method for various fitness exercise states for wearable heart rate monitoring device and device thereof

A motion state and heart rate monitoring technology, applied in the field of biomedical signal processing, can solve problems such as complex motion artifacts

Active Publication Date: 2019-06-14
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

However, since the performance of most existing schemes is only evaluated using some specific motions, such as walking and running
In practice, since there are many different types of sports, such as squats and elliptical ma

Method used

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  • Heart rate estimation method for various fitness exercise states for wearable heart rate monitoring device and device thereof
  • Heart rate estimation method for various fitness exercise states for wearable heart rate monitoring device and device thereof
  • Heart rate estimation method for various fitness exercise states for wearable heart rate monitoring device and device thereof

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Embodiment

[0074] see figure 1 , 2, a wearable heart rate monitoring device, including a sparse dictionary setting unit, a signal acquisition unit, a signal preprocessing unit, a motion state recognition unit, a signal denoising unit, a heart rate calculation unit and an output unit;

[0075]The sparse dictionary setting unit carries out sparse dictionary learning to the pulse wave signal and the noise estimation signal under different kinds of motion states, and obtains the pulse wave signal sparse dictionary and the noise estimation signal sparse dictionary under different motion states;

[0076] In this embodiment, it involves seven motion states of stillness, walking, running, squatting, arm swing, lucky cat, and elliptical machine, and each set of data includes one motion state of static and the other six motions. In this embodiment, the training set of the noise estimation signal is composed of motion signals, and the training set of the clean pulse wave signal is denoised using tw...

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Abstract

The invention discloses a heart rate estimation method for various fitness exercise states for a wearable heart rate monitoring device and a device thereof. The method includes sparse dictionary learning, motion state recognition, motion artifact removal and heart rate peak tracking; a pulse wave signal and a noise estimation signal in a certain motion state are used as a training set, and a sparse dictionary corresponding to the motion is obtained by solving the optimization problem of the sparse dictionary learning; then feature information from the motion signal is extracted and the motionstate recognition is performed based on a classification method, and the motion state corresponding to the pulse wave signal in the current time window is obtained; according to the motion state, whether the pulse wave signal contains a large amount of noise or not is determined, the sparse dictionary corresponding to the current motion state is selected, and sparse representation of the pulse wave signal is used to remove the noise interference to obtain a reconstructed pulse wave signal; and finally a heart rate peak of each time window is located. The heart rate estimation precision is high, and complexity is low.

Description

technical field [0001] The invention relates to the field of biomedical signal processing, in particular to a heart rate estimation method and device for wearable heart rate monitoring equipment. Background technique [0002] Heart rate monitoring based on modern wearable devices has attracted attention due to its effectiveness in controlling training load or fitness health monitoring. Heart rate monitoring based on photoplethysmography is popular because of its portability and low cost. However, heart rate monitoring based on photoplethysmography signals during exercise is a difficult challenge because photoplethysmography signals are susceptible to motion artifacts. [0003] In fitness exercises, photoplethysmography (PPG) signals are easily affected by motion artifacts, the main source of which is some voluntary or involuntary movements of the subject, which may cause a gap between the sensor of the hand and the skin during exercise. The gap between them expands. Motio...

Claims

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Application Information

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IPC IPC(8): A61B5/0245
Inventor 叶娅兰何文文潘桐杰
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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