ECG signal parallel analysis apparatus, method and mobile terminal

1. An electrocardiogram signal parallel analysis apparatus, wherein the apparatus comprises an integrated memory, a central processor and a graphic processor, wherein the integrated memory is coupled to the central processor and to the graphic processor and comprises a first memory configured for being used by the central processor and a second memory configured for being used by the graphic processor, the central processor is configured to be able to access the second memory, and the central processor and the graphic processor are configured to transmit data via the integrated memory;

the central processor is configured for performing primary noise reduction processing on a received electrocardiogram original signal to obtain a primary electrocardiogram signal, and configured for performing abnormal heartbeat classification preliminary screening on characteristic data extracted by the graphic processor to obtain suspected abnormal heartbeat data: and

the graphic processor is configured for performing characteristic extraction on the primary electrocardiogram signal to obtain the characteristic data, and configured for performing secondary noise reduction processing on the primary electrocardiogram signal to obtain a secondary electrocardiogram signal, and processing the suspected abnormal heartbeat data and the secondary electrocardiogram signal by using a template matching classification mode, to obtain final abnormal heartbeat data.

2. The apparatus according to claim 1 , wherein the central processor is configured to perform the following operations:

receiving the electrocardiogram original signal and storing the electrocardiogram original signal in the first memory;

performing primary noise reduction processing on the electrocardiogram original signal loaded from the first memory, to obtain the primary electrocardiogram signal, and storing the primary signal in the second memory; and

acquiring the characteristic data according to storage location information, performing, in accordance with a set rule decision mode, abnormal heartbeat classification on the characteristic data to obtain suspected abnormal heartbeat data, and storing the suspected abnormal heartbeat data in the second memory.

3. The apparatus according to claim 2 , wherein the graphic processor is configured to perform the following operations:

performing characteristic extraction on the primary electrocardiogram signal loaded from the second memory to obtain characteristic data, and storing the characteristic data in the second memory;

performing secondary noise reduction processing on the loaded primary electrocardiogram signal to obtain the secondary electrocardiogram signal; and.

acquiring the secondary electrocardiogram signal from the second pre-process module to obtain the suspected abnormal heartbeat data from the second memory, reconfirming, in accordance with a set - template matching mode and based on the secondary electrocardiogram signal, the suspected abnormal heartbeat data to obtain the final abnormal heartbeat data, and storing the final abnormal heartbeat data in the second memory.

4. The apparatus according to claim 3 , wherein the integrated memory is further configured for mapping storage location information of the characteristic data and the final abnormal heartbeat data to the first memory, so as to enable the central processor to acquire corresponding data according to the storage location information.

5. The apparatus according to claim 3 , wherein the operation of performing primary noise reduction processing on the electrocardiogram original signal loaded from the first memory to obtain the primary electrocardiogram original signal comprises performing filter processing on the electrocardiogram original signal to obtain the primary electrocardiogram signal; and

the operation of performing secondary noise reduction processing on the loaded primary electrocardiogram signal to obtain the secondary electrocardiogram signal comprises performing artifact removal processing on the primary electrocardiogram signal to obtain the secondary electrocardiogram signal.

6. The apparatus according to claim 3 , wherein the operation of performing characteristic extraction on the primary electrocardiogram signal loaded from the second memory to obtain the characteristic data comprises:

performing transformation on the primary electrocardiogram signal, and outputting an electrocardiogram signal in a morphological form;

performing R wave detection on the electrocardiogram signal in a morphological form, and outputting a detection result; and

performing QRS complex detection on the detection result, and outputting characteristic data containing QRS complex.

7. An electrocardiogram signal parallel analysis method, applied to a mobile terminal, the mobile terminal comprising: an integrated memory, a central processor and a graphic processor, wherein the integrated memory is coupled to the central processor and to the graphic processor and comprises a first memory configured for being used by the central processor and a second memory configured for being used by the graphic processor, the central processor is configured to be able to access the second memory, and the central processor and the graphic processor are configured to transmit data via the integrated memory; and

the method comprises:

the central processor performing primary noise reduction processing on a received electrocardiogram original signal to obtain a primary electrocardiogram signal;

the graphic processor performing characteristic extraction on the primary electrocardiogram signal to obtain characteristic data;

the central processor performing abnormal heartbeat classification preliminary screening on the chara.cteristic data to obtain suspected abnormal heartbeat data; and

the graphic processor performing secondary noise reduction processing on the primary electrocardiogram signal to obtain a secondary electrocardiogram signal, and processing the suspected abnormal heartbeat data and the secondary electrocardiogram signal by using a template matching classification mode - to obtain final abnormal heartbeat data.

8. The method according to claim 7 , wherein the method further comprises:

the central processor acquiring the final abnormal heartbeat data, and uploading the final abnormal heartbeat data to a remote medical platform; and

the central processor receiving a report fed back by the medical platform based on the final abnormal heartbeat data.

9. The method according to claim 8 , wherein a process of the central processor and the graphic processor transmitting data via the integrated memory comprises:

the integrated memory copying, to the second memory, data stored by the central processor in first memory, and mapping, to the first memory, storage location information stored by the graphic processor in the second memory.

10. The method according to claim 7 , wherein a process of the central processor and the graphic processor transmitting data via the integrated memory comprises:

the integrated memory copying, to the second memory, data stored by the central processor in first memory, and mapping, to the first memory, storage location information stored by the graphic processor in the second memory.

11. A mobile terminal, comprising an electrocardiogram signal parallel analysis apparatus, wherein the apparatus comprises an integrated memory, a central processor and a graphic processor, wherein the integrated memory is coupled to the central processor and to the graphic processor and comprises a first memory configured for being used by the central processor and a second memory configured for being used by the graphic processor, the central processor is configured to be able to access the second memory, and the central processor and the graphic processor are configured to transmit data via the integrated memory;

the central processor is configured for performing primary noise reduction processing on a received electrocardiogram original signal to obtain a primary electrocardiogram signal, and configured for performing abnormal heartbeat classification preliminary screening on characteristic data extracted by the graphic processor to obtain suspected abnormal heartbeat data: and

the graphic processor is configured for performing characteristic extraction on the primary electrocardiogram signal to obtain the characteristic data, and configured for performing secondary noise reduction processing on the primary electrocardiogram signal to obtain a secondary electrocardiogram signal, and processing the suspected abnormal heartbeat data and the secondary electrocardiogram signal by using a template matching classification mode, to obtain final abnormal heartbeat data.

12. The mobile terminal according to claim 11 , wherein the central processor is configured to perform the following operations:

receiving the electrocardiogram original signal and storing the electrocardiogram original signal in the first memory;

performing primary noise reduction processing on the electrocardiogram original signal loaded from the first memory, to obtain the primary electrocardiogram signal, and storing the primary signal in the second memory; and

acquiring the characteristic data according to storage location information, performing, in accordance with a set rule decision mode, abnormal heartbeat classification on the characteristic data to obtain suspected abnormal heartbeat data, and storing the suspected abnormal heartbeat data in the second memory.

13. The mobile terminal according to claim 12 , wherein the graphic processor is configured to perform the following operations:

performing characteristic extraction on the primary electrocardiogram signal loaded from the second memory obtain characteristic data, and storing the characteristic data in the second memory;

performing secondary noise reduction processing on the loaded primary electrocardiogram signal to obtain the secondary electrocardiogram signal; and

acquiring the secondary electrocardiogram signal from the second pre-process module to obtain the suspected abnormal heartbeat data from the second memory, reconfirming, in accordance with a set template matching mode and based on the secondary electrocardiogram signal, the suspected abnormal heartbeat data to obtain the final abnormal heartbeat data, and storing the final abnormal heartbeat data in the second memory.

14. The mobile terminal according to claim 13 , wherein the integrated memory is further configured for mapping storage location information of the characteristic data and the final abnormal heartbeat data to the first memory, so as to enable the central processor to acquire corresponding data according to the storage location information.

15. The mobile terminal according to claim 13 , wherein the operation of performing primary noise reduction processing on the electrocardiogram original signal loaded from the first memory to obtain the primary electrocardiogram original signal comprises performing filter processing on the electrocardiogram original signal to obtain the primary electrocardiogram signal; and

the operation of performing secondary noise reduction processing on the loaded primary electrocardiogram signal to obtain the secondary electrocardiogram signal comprises performing artifact removal processing on the primary electrocardiogram signal to obtain the secondary electrocardiogram signal.

16. The mobile terminal according to claim 13 , wherein the operation of performing characteristic extraction on the primary electrocardiogram signal loaded from the secondary memory to obtain the characteristic data comprises:

performing transformation on the primary electrocardiogram signal, and outputting an electrocardiogram signal in a morphological form;

performing R wave detection on the electrocardiogram signal in a morphological form, and outputting a detection result; and

performing QRS complex detection on the detection result, and outputting characteristic data containing QRS complex.