Heart rate data points extraction algorithm based on piezoelectric sensor

A piezoelectric sensor and data point technology, applied in the field of biomedical signal processing, can solve problems such as inability to converge, accumulation of calculation errors, and heart rate peak values ​​that do not meet threshold requirements, etc., to achieve good data utilization and accuracy, and to avoid errors over time Cumulative, impact-reducing effects

Inactive Publication Date: 2018-05-15
上海大爱城数据服务有限公司
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Benefits of technology

This new method described by this inventor improves upon previous methods that have limitations such as being affected by noise or having issues with long term performance due to changes caused during use. It achieves these benefits through an improved extracting technique that does away from any mistakes made earlier. Additionally, its ability to identify multiple high frequency beats accurately allows for more accurate detection of cardiovascular conditions like arrhythmia. Overall, this technology provides technical improvements in detecting irregularities in blood pressure levels without causing problems later when used alone.

Problems solved by technology

Technics described in this patented text involve extracting heart rates from signals obtained through monitoring changes made during physical activity such as exercise training or sleep patterns. However, current methods have limitations caused by factors like measurement error and subjective choice bias. Therefore, technical problem addressed in these inventions relates how to improve accuracy when calculating heart rates based upon measured values alone without affecting their effectiveness under certain circumstances.

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  • Heart rate data points extraction algorithm based on piezoelectric sensor
  • Heart rate data points extraction algorithm based on piezoelectric sensor
  • Heart rate data points extraction algorithm based on piezoelectric sensor

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Embodiment Construction

[0051] Specific embodiments of the present invention are described in detail below, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

[0052] Unless expressly stated otherwise, throughout the specification and claims, the term "comprise" or variations thereof such as "includes" or "includes" and the like will be understood to include the stated elements or constituents, and not Other elements or other components are not excluded.

[0053] Such as figure 1 As shown, the heart rate data point extraction algorithm based on the piezoelectric sensor includes the following steps:

[0054] (1) Firstly, according to the human heart rate range, the original collection sequence S such as figure 2As shown, the original acquisition data sequence S is filtered. The collected signal includes multiple signals such as respiration, heartbeat, body vibration, and other interference, among which the main periodic signals

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Abstract

The invention discloses a heart rate data points extraction algorithm based on a piezoelectric sensor. Firstly, data preprocessing to original data S is conducted, after the processing, a new optimized data sequence A is obtained, then a local extremum value points sequence B is extracted from the new sequence; through the local extreme value points sequence B, in the collection of data, average time interval I between adjacent heart rate data points is estimated. Then, according to the above average time interval I, the algorithm can extract a heart rate data points sequence C from the localextremum value points sequence B. Finally, according to characteristics of human heart rate and characteristics of original data, the algorithm determines the loss of heart rate data, if a loss exists, then data from the sequence A is selected to complement the sequence C, a final heart rate data points sequence D is obtained. The algorithm has a good extraction effect for the piezoelectric sensorwith multi signal fusion and large signal disturbance and the like.

Description

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Claims

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Application Information

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Owner 上海大爱城数据服务有限公司
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