CN102961131A - Automatic detection and transformation method for loose of electrocardiograph limb electrodes - Google Patents
Automatic detection and transformation method for loose of electrocardiograph limb electrodes Download PDFInfo
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Abstract
一种心电肢体电极脱落自动检测及转换方法,当一个或两个肢体电极脱落时,不需要重新固定脱落电极,系统会自动调整威尔逊中心端的电位,得到的胸导心电图仍然正常,保证在此情况下,记录的大部分心电导联信号仍然是可用的;以本发明实现的肢体电极脱落自动检测及转换方法具有长时间过程中信号记录稳定的特点,通过对威尔逊中心电位的自动调整,可保证长时间记录过程中,在发生部分肢体电极脱落的情况下,仍可保证记录的大部分导联信号是稳定有效的,从而为后续的心电图分析处理打下良好基础。An automatic detection and conversion method for electrocardiographic limb electrode detachment. When one or two limb electrodes are detached, there is no need to fix the detached electrodes again. The system will automatically adjust the potential of the center terminal of Wilson, and the obtained chest electrocardiogram is still normal. Guaranteed here Under normal circumstances, most of the electrocardiographic lead signals recorded are still available; the limb electrode shedding automatic detection and conversion method realized by the present invention has the characteristics of stable signal recording in the long-term process, and through the automatic adjustment of Wilson's central potential, it can Ensure that during the long-term recording process, in the event that some limb electrodes fall off, it can still ensure that most of the recorded lead signals are stable and effective, thus laying a good foundation for subsequent ECG analysis and processing.
Description
技术领域technical field
本发明属于医疗仪器技术领域,特别涉及一种心电记录过程中心电肢体电极脱落自动检测及转换方法。The invention belongs to the technical field of medical instruments, and in particular relates to an automatic detection and conversion method for the fall-off of an electrocardiographic limb electrode in the process of electrocardiographic recording.
背景技术Background technique
Holter系统用于记录和分析患者在正常生活状态下的心电图,随着电子技术和存储技术的飞速发展,Holter记录器已由连续记录患者2~3导联24小时的心电图发展成连续记录患者12导联24~72小时的心电图,在心电图记录过程中由于人体运动和电极粘性降低等原因,常常会出现部分电极脱落,导致记录的心电图信号质量明显降低。特别是在12导联记录模式下,6个胸导联是以肢体电极形成的威尔逊中心电位为参考信号,如果有任何肢体电极脱落引起威尔逊中心端电位偏移,都会导致6个胸导联记录失败。目前大多数Holter系统采用报警模式,当电极脱落时,系统会提示患者重新佩戴脱落电极,但严重影响了患者的生活作息。The Holter system is used to record and analyze the ECG of patients in normal life. With the rapid development of electronic technology and storage technology, the Holter recorder has developed from continuously recording the ECG of 2-3 leads of the patient for 24 hours to continuously recording the patient's 12 During the electrocardiogram of 24 to 72 hours of lead, due to human body movement and electrode viscosity reduction during the electrocardiogram recording process, some electrodes often fall off, resulting in a significant decrease in the quality of the recorded electrocardiogram signal. Especially in the 12-lead recording mode, the 6 chest leads use the Wilson central potential formed by the limb electrodes as the reference signal. If any limb electrode falls off and causes the Wilson center terminal potential to shift, it will cause the 6 chest leads to record fail. At present, most Holter systems use an alarm mode. When the electrodes fall off, the system will prompt the patient to put on the fallen electrodes again, but this seriously affects the daily life of the patients.
发明内容Contents of the invention
为了克服现有技术的不足,本发明的目的在于提供一种心电肢体电极脱落自动检测及转换方法,当一个或两个肢体电极脱落时,不需要重新固定脱落电极,系统会自动调整威尔逊中心端的电位,得到的胸导心电图仍然正常,保证在此情况下,记录的大部分心电导联信号仍然是可用的。In order to overcome the deficiencies in the prior art, the object of the present invention is to provide an automatic detection and conversion method for the falling off of the limb electrodes of ECG. When one or two limb electrodes fall off, there is no need to fix the falling electrodes again, and the system will automatically adjust the Wilson center. The potential of the terminal, the obtained chest lead ECG is still normal, to ensure that in this case, most of the recorded ECG lead signals are still available.
为了达到上述目的,本发明的技术方案是:In order to achieve the above object, technical scheme of the present invention is:
一种心电肢体电极脱落自动检测及转换方法,包括以下步骤:A method for automatic detection and conversion of electrocardiographic limb electrode shedding, comprising the following steps:
步骤一、在记录过程中,各个导联信号的正常幅度不超过5mV,当电极脱落后,导联信号会出现异常,幅度明显增大,系统首先检测导联信号V5在5s内信号幅度超出5mV所占的比例,若此比例超过50%后可以确定有电极脱落;Step 1. During the recording process, the normal amplitude of each lead signal does not exceed 5mV. When the electrode falls off, the lead signal will appear abnormal and the amplitude will increase significantly. The system first detects that the signal amplitude of the lead signal V5 exceeds 5mV within 5s The proportion, if the proportion exceeds 50%, it can be determined that the electrode has fallen off;
步骤二、检测导联信号V1在5s内信号幅度超出5mv所占的比例,若导联信号V1正常,可判定肢体电极未脱落,此时为导联信号V5电极脱落;若导联信号V1异常,检测导联信号II、导联信号III在5s内信号幅度超出5mV所占的比例,若导联信号II、导联信号III同时正常,可判定肢体电极未脱落,此时为导联信号V1、导联信号V5同时脱落;若导联信号II、导联信号III信号至少有一个异常,可确定有肢体电极脱落;下表是根据各导联信号是否正常,确定可能脱落的肢导电极,其中Y表示导联信号正常,N表示导联信号异常;Step 2: Detect the ratio of the signal amplitude of the lead signal V1 exceeding 5mv within 5s. If the lead signal V1 is normal, it can be determined that the limb electrode has not fallen off. At this time, the electrode of the lead signal V5 has fallen off; if the lead signal V1 is abnormal , detect the ratio of the signal amplitude of lead signal II and lead signal III exceeding 5mV within 5s, if lead signal II and lead signal III are normal at the same time, it can be judged that the limb electrode has not fallen off, and at this time it is lead signal V1 , lead signal V5 falls off at the same time; if at least one signal of lead signal II and lead signal III is abnormal, it can be determined that there is a limb electrode falling off; Among them, Y indicates that the lead signal is normal, and N indicates that the lead signal is abnormal;
步骤三、当为上表中状态1时,隔离电极R,自动调整电极L和电极F构成威尔逊中心端,如果在调整后的10s内导联信号V5、导联信号V1恢复正常,则调整成功;当为状态2时,隔离电极L,自动调整电极R和电极F构成威尔逊中心端,如果在调整后的10s内导联信号V5、导联信号V1导联信号恢复正常,则调整成功;Step 3. When it is in state 1 in the above table, isolate electrode R, and automatically adjust electrode L and electrode F to form the center terminal of Wilson. If the lead signal V5 and lead signal V1 return to normal within 10s after adjustment, the adjustment is successful. ; When it is in state 2, isolate electrode L, automatically adjust electrode R and electrode F to form the center terminal of Wilson, if the lead signal V5 and lead signal V1 lead signal return to normal within 10s after adjustment, the adjustment is successful;
步骤四、当为状态3时,需要进行分步尝试调整,首先假设为电极F脱落,隔离电极F,自动调整电极L和电极R构成威尔逊中心,如果在调整后的10s内导联信号V5、导联信号V1导联信号恢复正常,则调整成功;如果上述调整失败,则隔离电极L和电极R,自动调整电极F构成威尔逊中心,如果在调整后的10s内导联信号V5、导联信号V1恢复正常,则调整成功;如果上述调整均失败,则认为电极L、电极R和电极F同时脱落或人体参考接地电极脱落,此时系统进行报警。Step 4. When it is in state 3, you need to try to adjust it step by step. First, assume that the electrode F is off, isolate the electrode F, and automatically adjust the electrode L and electrode R to form the Wilson center. If the lead signal V5, If the lead signal V1 lead signal returns to normal, the adjustment is successful; if the above adjustment fails, then isolate electrode L and electrode R, and automatically adjust electrode F to form the Wilson center. If the lead signal V5, lead signal If V1 returns to normal, the adjustment is successful; if the above adjustments fail, it is considered that the electrode L, electrode R and electrode F have fallen off at the same time or the human body reference ground electrode has fallen off, and the system will alarm at this time.
本发明的效果在于:以本发明实现的肢体电极脱落自动检测及转换方法具有长时间过程中信号记录稳定的特点,通过对威尔逊中心电位的自动调整,可保证长时间记录过程中,在发生部分肢体电极脱落的情况下,仍可保证记录的大部分导联信号是稳定有效的,从而为后续的心电图分析处理打下良好基础。The effect of the present invention is that the automatic detection and conversion method of limb electrode shedding realized by the present invention has the characteristics of stable signal recording in the long-term process, and through the automatic adjustment of Wilson's central potential, it can be ensured that in the long-term recording process, in the occurrence part When the limb electrodes fall off, most of the recorded lead signals can still be guaranteed to be stable and effective, thus laying a good foundation for subsequent ECG analysis and processing.
具体实施方式Detailed ways
下面对本发明的结构原理和工作原理做详细叙述。The structural principle and working principle of the present invention are described in detail below.
一种心电肢体电极脱落自动检测及转换方法,包括以下步骤:A method for automatic detection and conversion of electrocardiographic limb electrode shedding, comprising the following steps:
步骤一、在记录过程中,各个导联信号的正常幅度不超过5mV,当电极脱落后,导联信号会出现异常,幅度明显增大,系统首先检测导联信号V5在5s内信号幅度超出5mV所占的比例,若此比例超过50%后可以确定有电极脱落;Step 1. During the recording process, the normal amplitude of each lead signal does not exceed 5mV. When the electrode falls off, the lead signal will appear abnormal and the amplitude will increase significantly. The system first detects that the signal amplitude of the lead signal V5 exceeds 5mV within 5s The proportion, if the proportion exceeds 50%, it can be determined that the electrode has fallen off;
步骤二、检测导联信号V1在5s内信号幅度超出5mv所占的比例,若导联信号V1正常,可判定肢体电极未脱落,此时为导联信号V5电极脱落;若导联信号V1异常,检测导联信号II、导联信号III在5s内信号幅度超出5mV所占的比例,若导联信号II、导联信号III同时正常,可判定肢体电极未脱落,此时为导联信号V1、导联信号V5同时脱落;若导联信号II、导联信号III信号至少有一个异常,可确定有肢体电极脱落;下表是根据各导联信号是否正常,确定可能脱落的肢导电极,其中Y表示导联信号正常,N表示导联信号异常;Step 2: Detect the ratio of the signal amplitude of the lead signal V1 exceeding 5mv within 5s. If the lead signal V1 is normal, it can be determined that the limb electrode has not fallen off. At this time, the electrode of the lead signal V5 has fallen off; if the lead signal V1 is abnormal , detect the ratio of the signal amplitude of lead signal II and lead signal III exceeding 5mV within 5s, if lead signal II and lead signal III are normal at the same time, it can be judged that the limb electrode has not fallen off, and at this time it is lead signal V1 , lead signal V5 falls off at the same time; if at least one signal of lead signal II and lead signal III is abnormal, it can be determined that there is a limb electrode falling off; Among them, Y indicates that the lead signal is normal, and N indicates that the lead signal is abnormal;
步骤三、当为上表中状态1时,隔离电极R,自动调整电极L和电极F构成威尔逊中心端,如果在调整后的10s内导联信号V5、导联信号V1恢复正常,则调整成功;当为状态2时,隔离电极L,自动调整电极R和电极F构成威尔逊中心端,如果在调整后的10s内导联信号V5、导联信号V1导联信号恢复正常,则调整成功;Step 3. When it is in state 1 in the above table, isolate electrode R, and automatically adjust electrode L and electrode F to form the center terminal of Wilson. If the lead signal V5 and lead signal V1 return to normal within 10s after adjustment, the adjustment is successful. ; When it is in state 2, isolate electrode L, automatically adjust electrode R and electrode F to form the center terminal of Wilson, if the lead signal V5 and lead signal V1 lead signal return to normal within 10s after adjustment, the adjustment is successful;
步骤四、当为状态3时,需要进行分步尝试调整,首先假设为电极F脱落,隔离电极F,自动调整电极L和电极R构成威尔逊中心,如果在调整后的10s内导联信号V5、导联信号V1导联信号恢复正常,则调整成功;如果上述调整失败,则隔离电极L和电极R,自动调整电极F构成威尔逊中心,如果在调整后的10s内导联信号V5、导联信号V1恢复正常,则调整成功;如果上述调整均失败,则认为电极L、电极R和电极F同时脱落或人体参考接地电极脱落,此时系统进行报警。Step 4. When it is in state 3, you need to try to adjust it step by step. First, assume that the electrode F is off, isolate the electrode F, and automatically adjust the electrode L and electrode R to form the Wilson center. If the lead signal V5, If the lead signal V1 lead signal returns to normal, the adjustment is successful; if the above adjustment fails, then isolate electrode L and electrode R, and automatically adjust electrode F to form the Wilson center. If the lead signal V5, lead signal If V1 returns to normal, the adjustment is successful; if the above adjustments fail, it is considered that the electrode L, electrode R and electrode F have fallen off at the same time or the human body reference ground electrode has fallen off, and the system will alarm at this time.
实施例一Embodiment one
开发一种12导联Holter系统,记录器对心电信号放大200倍。在记录过程中对导联信号V5、V1、II、III导联信号进行实时检测,如果导联信号V5和V1导联信号在5s内幅度超过1000mV的累计时间超过2.5s,则进行肢体电极脱落自动检测及转换。此时,当导联信号V5、V1、II、III状态组合为状态1时,隔离电极R,自动调整电极L和F构成威尔逊中心端,如果在调整后的10s内导联信号V5、V1恢复正常,则调整成功;当为状态2时,隔离电极L,自动调整电极R和F构成威尔逊中心端,如果在调整后的10s内导联信号V5、V1导联信号恢复正常,则调整成功;当为状态3时,首先隔离F电极,自动调整电极L和R构成威尔逊中心,如果在调整后的10s内导联信号V5、V1恢复正常,则调整成功;当为状态3时,如果上述调整失败,则隔离电极L和R电极,自动调整电极F构成威尔逊中心,如果在调整后的10s内导联信号V5、V1恢复正常,则调整成功。本发明除可用于Holter系统,也可用于多参数床边监护等对心电图长时间监测的场合。Develop a 12-lead Holter system, the recorder amplifies the ECG signal by 200 times. During the recording process, the lead signals V5, V1, II, and III are detected in real time. If the amplitude of the lead signals V5 and V1 exceeds 1000mV within 5s and the accumulative time exceeds 2.5s, the limb electrodes will fall off. Automatic detection and conversion. At this time, when the state combination of lead signals V5, V1, II, and III is state 1, isolate electrode R, and automatically adjust electrodes L and F to form the Wilson center terminal. If lead signals V5, V1 recover within 10s after adjustment If it is normal, the adjustment is successful; when it is in state 2, isolate the electrode L, and automatically adjust the electrodes R and F to form the center terminal of Wilson. If the lead signal V5 and V1 return to normal within 10s after adjustment, the adjustment is successful; When it is state 3, first isolate the electrode F, and automatically adjust electrodes L and R to form the Wilson center. If the lead signals V5 and V1 return to normal within 10s after adjustment, the adjustment is successful; when it is state 3, if the above adjustment If it fails, isolate electrodes L and R, and automatically adjust electrode F to form the Wilson center. If the lead signals V5 and V1 return to normal within 10 seconds after adjustment, the adjustment is successful. The present invention can be used not only in the Holter system, but also in occasions such as multi-parameter bedside monitoring for long-term monitoring of the electrocardiogram.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103622690A (en) * | 2013-11-14 | 2014-03-12 | 成都博约创信科技有限责任公司 | Electrocardiogram monitoring system based on ZigBee technique |
CN103876727A (en) * | 2014-02-27 | 2014-06-25 | 深圳市理邦精密仪器股份有限公司 | Automatic electrocardiograph work mode switching method and automatic electrocardiograph work mode switching device |
CN103908244A (en) * | 2014-04-03 | 2014-07-09 | 深圳市理邦精密仪器股份有限公司 | ECG lead wrong connection judging method and device |
CN104188652A (en) * | 2014-09-09 | 2014-12-10 | 广东工业大学 | Real-time control method and system for electrocardiogram data quality |
CN104473629A (en) * | 2013-11-19 | 2015-04-01 | 邱磊 | Automatic electrocardioelectrode placement error detection method based on kernel function classification algorithm |
CN104783783B (en) * | 2015-04-23 | 2017-05-17 | 康泰医学系统(秦皇岛)股份有限公司 | Method for handheld electrocardio detector to automatically start electrocardiogram recording |
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CN109975878A (en) * | 2017-12-27 | 2019-07-05 | 四川锦江电子科技有限公司 | It falls off the device and method of detection for three-dimensional mapping system body surface excitation electrode slice |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2216391Y (en) * | 1995-04-28 | 1996-01-03 | 清华大学 | Digital remote-controlling micro-cardioelectric monitoring instrument |
US5788644A (en) * | 1996-10-08 | 1998-08-04 | Johnson & Johnson Medical Inc. | Automatic lead switching for ECG monitor |
CN1258480A (en) * | 1998-12-31 | 2000-07-05 | 三星电子株式会社 | Method and apparatus for detecting and remote metering lead wire fault in biomedical system |
CN102068247A (en) * | 2011-01-27 | 2011-05-25 | 深圳市理邦精密仪器股份有限公司 | Method and device for carrying out ECG (Electrocardiograph) lead-off detection |
EP2443995A2 (en) * | 2010-10-21 | 2012-04-25 | Syncrophi Systems Ltd. | An ECG apparatus with lead-off detection |
CN102613969A (en) * | 2012-04-28 | 2012-08-01 | 深圳市理邦精密仪器股份有限公司 | Judgment method and device for falling off of leads |
-
2012
- 2012-11-26 CN CN201210487166.1A patent/CN102961131B/en not_active Expired - Fee Related
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2216391Y (en) * | 1995-04-28 | 1996-01-03 | 清华大学 | Digital remote-controlling micro-cardioelectric monitoring instrument |
US5788644A (en) * | 1996-10-08 | 1998-08-04 | Johnson & Johnson Medical Inc. | Automatic lead switching for ECG monitor |
CN1258480A (en) * | 1998-12-31 | 2000-07-05 | 三星电子株式会社 | Method and apparatus for detecting and remote metering lead wire fault in biomedical system |
EP2443995A2 (en) * | 2010-10-21 | 2012-04-25 | Syncrophi Systems Ltd. | An ECG apparatus with lead-off detection |
CN102068247A (en) * | 2011-01-27 | 2011-05-25 | 深圳市理邦精密仪器股份有限公司 | Method and device for carrying out ECG (Electrocardiograph) lead-off detection |
CN102613969A (en) * | 2012-04-28 | 2012-08-01 | 深圳市理邦精密仪器股份有限公司 | Judgment method and device for falling off of leads |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103622690A (en) * | 2013-11-14 | 2014-03-12 | 成都博约创信科技有限责任公司 | Electrocardiogram monitoring system based on ZigBee technique |
CN103622690B (en) * | 2013-11-14 | 2015-09-23 | 成都博约创信科技有限责任公司 | Based on the electrocardiogram monitoring system of ZigBee technology |
CN104473629A (en) * | 2013-11-19 | 2015-04-01 | 邱磊 | Automatic electrocardioelectrode placement error detection method based on kernel function classification algorithm |
CN103876727A (en) * | 2014-02-27 | 2014-06-25 | 深圳市理邦精密仪器股份有限公司 | Automatic electrocardiograph work mode switching method and automatic electrocardiograph work mode switching device |
CN103876727B (en) * | 2014-02-27 | 2017-04-05 | 深圳市理邦精密仪器股份有限公司 | The method and apparatus that a kind of cardiac diagnosis lead mode of operation automatically switches |
CN103908244A (en) * | 2014-04-03 | 2014-07-09 | 深圳市理邦精密仪器股份有限公司 | ECG lead wrong connection judging method and device |
CN103908244B (en) * | 2014-04-03 | 2016-01-06 | 深圳市理邦精密仪器股份有限公司 | A kind of method and apparatus that cardiac diagnosis lead misconnection is judged |
CN104188652A (en) * | 2014-09-09 | 2014-12-10 | 广东工业大学 | Real-time control method and system for electrocardiogram data quality |
CN104783783B (en) * | 2015-04-23 | 2017-05-17 | 康泰医学系统(秦皇岛)股份有限公司 | Method for handheld electrocardio detector to automatically start electrocardiogram recording |
CN107485393A (en) * | 2017-09-18 | 2017-12-19 | 山东正心医疗科技有限公司 | A kind of electrode delamination monitoring method of SMD electrocardiogram equipment |
CN109975878A (en) * | 2017-12-27 | 2019-07-05 | 四川锦江电子科技有限公司 | It falls off the device and method of detection for three-dimensional mapping system body surface excitation electrode slice |
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