1 research outputs found
Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΊΠ»Π°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ ΠΊΠ°ΡΠ΄ΠΈΠΎΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ² Ρ ΠΏΠΎΡΡΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠ΅ΠΉ Π΄Π»Ρ Π·Π°Π΄Π°Ρ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΡΠΈΠ³Π½Π°Π»Π°
Introduction. The most common method for diagnosing cardiovascular diseases is the method of ECG monitoring. In order to facilitate the analysis of the obtained monitorograms, special software solutions for automated ECG processing are required. One possible approach is the use of algorithms for automated ECG processing. Such algorithms performΒ clustering of cardiac signals by dividing the ECG into complexes of similar cardiac signals. The most representative complexes obtained by statistical averaging are subject to further analysis.Aim. Development of an algorithm for automated ECG processing,Β which performs clustering of cardiac signals by dividing the ECG into complexes of similar cardiac signals.Materials and methods. Experimental testing of the developed software was carried out using patient records provided by the Pavlov First State Medical University of StΒ Petersburg. The software module was implemented in the MatLab environment.Results. An algorithm for clustering cardiac signals with post-correction for the tasks of long-term ECG monitoring and a software module on its basis were proposed.Conclusion.Β The presence of a small number of reference cardiac signal complexes, obtained through ECG processing using the proposed algorithm, allows physicians to optimize the process of ECG analysis. The as- obtained information serves as a basis for assessing dynamic changes in the shape and other parameters of cardiac signals for both a particular patient and groups of patients. The paper considers the effect of synchronization errors of clustered cardiac signals on the shape of the averaged cardiac complex. The classical solution to the deconvolution problem leads to significant errors in finding an estimate of the true form of a cardiac signal complex. On the basis of analytical calculations, expressions were obtained for the correction of clustered cardiac signals. Such correction was shown to reduce clusterization errors associated with desynchronization, which creates a basis for investigating the fine structure of ECG signals.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅.Β ΠΠ°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ- ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅Β ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅Β ΡΠ»Π΅ΠΊΡΡΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΡΠΈΠ³Π½Π°Π»Π°Β (ΠΠΠ‘) .Β ΠΠ»ΡΒ ΠΎΠ±Π»Π΅Π³ΡΠ΅Π½ΠΈΡΒ Π°Π½Π°Π»ΠΈΠ·Π°Β ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Β ΠΌΠΎΠ½ΠΈΡΠΎΡΠΎΠ³ΡΠ°ΠΌΠΌ Π²ΡΠ°ΡΠ°ΠΌ- ΠΊΠ°ΡΠ΄ΠΈΠΎΠ»ΠΎΠ³Π°ΠΌ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΠ΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΡ ΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΠ΅ ΡΡΠ΅Π΄ΡΡΠ²Π° Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈΒ ΠΠΠ‘. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ·Β ΡΠ°ΠΊΠΈΡ
ΡΡΠ΅Π΄ΡΡΠ²Β ΡΠ²Π»ΡΠ΅ΡΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈΒ ΠΠΠ‘, Π²ΡΠΏΠΎΠ»Π½Ρ ΡΡΠΈΠΉΒ ΠΊΠ»Π°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΡ ΠΊΠ°ΡΠ΄ΠΈΠΎΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ²Β (ΠΠ) , ΡΠ°Π·Π΄Π΅Π»ΡΡΒ ΠΠΠ‘Β Π½Π° Π³ΡΡΠΏΠΏΡ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎ Π±Π»ΠΈΠ·ΠΊΠΈΡ
ΠΏΠΎ ΡΠΎΡΠΌΠ΅Β ΠΠ. ΠΠ°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΌΡ Π°Π½Π°Π»ΠΈΠ·Ρ ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π°ΡΡΡΡ ΡΠΎΠ»ΡΠΊΠΎ ΡΡΠ°Π»ΠΎΠ½Π½ΡΠ΅ ΠΠ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΌΒ ΡΡΡΠ΅Π΄Π½Π΅Π½ΠΈΠ΅ΠΌΒ ΠΠΒ Π² ΠΊΠ°ΠΆΠ΄ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅.Π¦Π΅Π»ΡΒ ΡΠ°Π±ΠΎΡΡ.Β Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ°Β Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°Β Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉΒ ΠΊΠ»Π°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈΒ ΠΠΒ ΠΠΠ‘,Β ΡΠ°Π·Π΄Π΅Π»ΡΡΡΠ΅Π³ΠΎΒ ΡΠ»Π΅ΠΊΡΡΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΡΠΈΠ³Π½Π°Π» Π½Π° Π³ΡΡΠΏΠΏΡ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎ Π±Π»ΠΈΠ·ΠΊΠΈΡ
ΠΏΠΎ ΡΠΎΡΠΌΠ΅ ΠΠ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ.Β ΠΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½Π°Ρ Π°ΠΏΡΠΎΠ±Π°ΡΠΈΡΒ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΈΒ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎΒ ΠΌΠΎΠ΄ΡΠ»ΡΒ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ Π½Π°Β Π±Π°Π·Π΅ ΠΎΠ±Π΅Π·Π»ΠΈΡΠ΅Π½Π½ΡΡ
ΡΡΡΠΎΡΠ½ΡΡ
Π·Π°ΠΏΠΈΡΠ΅ΠΉ ΠΠΠ‘ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΠ΅ΡΠ²ΠΎΠ³ΠΎ Π‘Π°Π½ΠΊΡ- ΠΠ΅ΡΠ΅ΡΠ±ΡΡΠ³ΡΠΊΠΎΠ³ΠΎ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΡΠ½ΠΈΠ²Π΅ΡΡΠΈΡΠ΅ΡΠ° ΠΈΠΌ.Β Β Π°ΠΊΠ°Π΄.Β Β Π. Π. ΠΠ°Π²Π»ΠΎΠ²Π° ΠΠΈΠ½Π·Π΄ΡΠ°Π²Π° Π ΠΎΡΡΠΈΠΈ.Β ΠΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΠΉ ΠΌΠΎΠ΄ΡΠ»Ρ Π±ΡΠ» ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ Π² ΡΡΠ΅Π΄Π΅ MatLab.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ.Β Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Β Π°Π»Π³ΠΎΡΠΈΡΠΌΒ ΡΠΎΡΡΠΈΡΠΎΠ²ΠΊΠΈΒ ΠΠΒ ΡΒ ΠΏΠΎΡΡΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠ΅ΠΉΒ Π΄Π»ΡΒ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎΒ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΡΠΎΠ²Π°Π½ΠΈΡΒ ΠΠΠ‘; ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΠΉ ΠΌΠΎΠ΄ΡΠ»Ρ, ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° Π±Π°Π·Π΅Β ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΎΒ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΎΡΠΈΠ±ΠΎΠΊ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈΒ ΠΠΒ ΠΏΡΠΈ ΠΈΡ
Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΠΈΒ Π½Π° ΡΠΎΡΠΌΡ ΡΡΡΠ΅Π΄Π½ΡΠ΅ΠΌΠΎΠ³ΠΎ ΠΠ. ΠΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π΄Π°ΡΠΈ Π΄Π΅ΠΊΠΎΠ½Π²ΠΎΠ»ΡΡΠΈΠΈ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΠΎΡΠΈΠ±ΠΊΠ°ΠΌ ΠΏΡΠΈ Π½Π°Ρ
ΠΎΠΆΠ΄Π΅Π½ΠΈΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ "ΠΈΡΡΠΈΠ½Π½ΠΎΠΉ" ΡΠΎΡΠΌΡ ΠΠ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π΄Π»Ρ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ Π½Π°ΠΊΠ°ΠΏΠ»ΠΈΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΠ.Β ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΠΌΠΎΠΆΠ½ΠΎΒ Π½ΠΈΠ²Π΅Π»ΠΈΡΠΎΠ²Π°ΡΡ ΠΎΡΠΈΠ±ΠΊΠΈ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΡ, ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ ΡΠ°ΡΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅.Β ΠΠ°Π»ΠΈΡΠΈΠ΅Β Π½Π΅Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎΒ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π°Β ΡΡΠ°Π»ΠΎΠ½Π½ΡΡ
Β ΠΠ,Β ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Β Π²Β ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅Β ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈΒ ΠΠΠ‘ Ρ ΠΏΠΎΠΌΠΎΡΡΡΒ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎΒ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°,Β ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅ΡΒ Π²ΡΠ°ΡΡ-ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΒ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΒ ΡΠΎΠΊΡΠ°ΡΠΈΡΡΒ Π²ΡΠ΅ΠΌΡ, Π·Π°ΡΡΠ°ΡΠΈΠ²Π°Π΅ΠΌΠΎΠ΅Β Π½Π°Β Π°Π½Π°Π»ΠΈΠ·Β ΠΠΠ‘,Β ΠΈΒ ΡΠ²Π»ΡΠ΅ΡΡΡΒ ΠΎΡΠ½ΠΎΠ²ΠΎΠΉΒ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΒ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Β ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉΒ ΡΠΎΡΠΌΡΒ ΠΈ ΠΈΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΠΒ ΠΊΠ°ΠΊ Π΄Π»Ρ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°, ΡΠ°ΠΊ ΠΈ Π΄Π»Ρ ΠΈΡ
Π³ΡΡΠΏΠΏΡ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡΒ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΡΠΎΠ·Π΄Π°ΡΡ ΠΎΡΠ½ΠΎΠ²Ρ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΡ
Π½Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ "ΡΠΎΠ½ΠΊΠΎΠΉ" ΡΡΡΡΠΊΡΡΡΡ ΠΠΠ‘