Method for automatically positioning and repairing clipping distortion waveforms of electronic stethoscope

Abstract

The invention discloses a method for automatically positioning and repairing clipping distortion waveforms of an electronic stethoscope. The method includes the following steps that: an auscultation signal is read; a difference of the signal x is obtained, and a differential signal x<d> is obtained; through threshold comparison and endpoint pairing, K non-overlapping time intervals for clipping distortion is determined, the time intervals are sorted in time order, and a stack is formed by entering first and then exiting; if K=0, a clipping distortion area is avoided, repairing is no longer needed, if K>=1, a data time point set psi<K>interpolated on the stack is determined, time point set psi<K>and a corresponding value x(psi<K>) on x at each time point of the time point set are used, anda value in the Kth section of the clipping distortion area is fitted to replace an original clipping distortion value in the x through interpolation; the time interval at the top of the stack is removed; and an auscultation signal x without clipping distortion is output. According to the method for automatically positioning and repairing the clipping distortion waveforms of the electronic stethoscope, the clipping distortion area of stethoscope signals can be automatically detected and positioned, and signals of the clipping distortion area and a plurality of close clipping distortion areas can be automatically repaired.

Description

technical field

[0001] The invention belongs to the technical field of stethoscopes, and relates to a method for automatically locating and repairing clipped and distorted waveforms of electronic stethoscopes. Background technique

[0002] Auscultation is one of the important technologies for physicians to understand the patient's condition at the first time. However, this technology has been restricted by factors such as the location of the doctor and the level of medical technology for a long time. With the vigorous development of the Internet of Things (IoT) technology, various types of The continuous emergence of electronic stethoscopes has brought the possibility of real-time monitoring, automatic transcription, cloud diagnosis and treatment and intelligent diagnosis of patients' heart and lung sound data.

[0003] Electronic stethoscopes convert weak physiological sound signals (such as heart sounds, lung sounds, etc.) into electrical signals through transducers (micro...

Examples

Embodiment 1

[0061] Read a piece of lung sound auscultation data x of a child with pneumonia, which contains two clipping distortion areas, and automatically locate and repair the clipping distortion areas. The data sampling rate is 4KHz and the duration is 2.5 seconds.

[0062] First, calculate the difference of this segment of data, the difference signal x d Such as image 3 As shown in (a), it can be seen that there are a pair of peaks with opposite polarities and large amplitude at the beginning and end positions of the two clipping distortion regions.

[0063] Then, find the differential signal x d The time point corresponding to the value whose absolute value is greater than the threshold 0.8×max(|x|), from which to find the adjacent x d Two pairs of time points with opposite signs of the corresponding values ​​above can be paired to detect two clipping distortion regions and determine their respective start points and end points, see image 3 as shown in (b);

[0064] Finally, t...

Embodiment 2

[0066] Read a piece of normal heart sound auscultation data x, there are 5 clipping distortion areas in the data, among them, two clipping distortion areas are very close, with a distance of 0.0136 seconds, and the clipping distortion area is automatically located and repaired , the data sampling rate is 4KHz, and the duration is 1.5 seconds.

[0067] First, calculate the difference of this segment of data, the difference signal x d Such as Figure 4 As shown in (a), it can be seen that there are a pair of peaks with opposite polarities and large amplitude at the beginning and end positions of the five clipping distortion regions.

[0068] Then, find the differential signal x d The time point corresponding to the value whose absolute value is greater than the threshold 0.8×max(|x|), from which to find the adjacent x d By pairing time points with opposite signs of the corresponding values ​​above, all 5 clipping distortion areas can be detected and their respective start point...

technical field

[0001] The invention belongs to the technical field of stethoscopes, and relates to a method for automatically locating and repairing clipped and distorted waveforms of electronic stethoscopes. Background technique

[0002] Auscultation is one of the important technologies for physicians to understand the patient's condition at the first time. However, this technology has been restricted by factors such as the location of the doctor and the level of medical technology for a long time. With the vigorous development of the Internet of Things (IoT) technology, various types of The continuous emergence of electronic stethoscopes has brought the possibility of real-time monitoring, automatic transcription, cloud diagnosis and treatment and intelligent diagnosis of patients' heart and lung sound data.

[0003] Electronic stethoscopes convert weak physiological sound signals (such as heart sounds, lung sounds, etc.) into electrical signals through transducers (micro...

Examples

Embodiment 1

[0061] Read a piece of lung sound auscultation data x of a child with pneumonia, which contains two clipping distortion areas, and automatically locate and repair the clipping distortion areas. The data sampling rate is 4KHz and the duration is 2.5 seconds.

[0062] First, calculate the difference of this segment of data, the difference signal x d Such as image 3 As shown in (a), it can be seen that there are a pair of peaks with opposite polarities and large amplitude at the beginning and end positions of the two clipping distortion regions.

[0063] Then, find the differential signal x d The time point corresponding to the value whose absolute value is greater than the threshold 0.8×max(|x|), from which to find the adjacent x d Two pairs of time points with opposite signs of the corresponding values ​​above can be paired to detect two clipping distortion regions and determine their respective start points and end points, see image 3 as shown in (b);

[0064] Finally, t...

Embodiment 2

[0066] Read a piece of normal heart sound auscultation data x, there are 5 clipping distortion areas in the data, among them, two clipping distortion areas are very close, with a distance of 0.0136 seconds, and the clipping distortion area is automatically located and repaired , the data sampling rate is 4KHz, and the duration is 1.5 seconds.

[0067] First, calculate the difference of this segment of data, the difference signal x d Such as Figure 4 As shown in (a), it can be seen that there are a pair of peaks with opposite polarities and large amplitude at the beginning and end positions of the five clipping distortion regions.

[0068] Then, find the differential signal x d The time point corresponding to the value whose absolute value is greater than the threshold 0.8×max(|x|), from which to find the adjacent x d By pairing time points with opposite signs of the corresponding values ​​above, all 5 clipping distortion areas can be detected and their respective start point...

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