Browsing by Subject "ECG"

Sort by: Order: Results:

Now showing items 1-9 of 9
  • Tuohinen, Suvi Sirkku; Rankinen, Jani; Skyttä, Tanja; Huhtala, Heini; Virtanen, Vesa; Kellokumpu-Lehtinen, Pirkko-Liisa; Raatikainen, Pekka; Nikus, Kjell (2018)
    Background: ST segment depression (STD) and T wave inversion (TWI) are typical electrocardiographic (ECG) findings in non-ST elevation myocardial infarction (NSTEMI). In ST elevation myocardial infarction, ST changes represent transmural ischemia. The pathophysiological mechanisms of the ECG changes in NSTEMI are unclear. Purpose: We studied the associations between ECG and the echocardiographic findings in NSTEMI patients. Methods: Twenty patients with acute NSTEMI were recruited during their hospital stay. A comprehensive echocardiography study was performed. The findings were compared with blinded ECG analyses. Results: Nine (45%) patients had STD, and 16 (85%) patients had TWI. In multivariable analysis, STD was independently associated with a lower global early diastolic strain rate (beta=-5.061, p=0.033). TWI was independently associated with lower circumferential strain (beta=0.132, p =0.032). Conclusions: The typical ECG changes in NSTEMI patients were associated with subtle echocardiographic changes. STD was related to changes in diastolic function, and TWI was associated with systolic deterioration. (C) 2017 Elsevier Inc. All rights reserved.
  • Lahdenoja, Olli; Hurnanen, Tero; Kaisti, Matti; Koskinen, Juho; Tuominen, Jarno; Vähä-Heikkilä, Matti; Parikka, Laura; Wiberg, Maria; Koivisto, Tero; Pänkäälä, Mikko (BioMed Central, 2019)
    Abstract Background In the context of monitoring dogs, usually, accelerometers have been used to measure the dog’s movement activity. Here, we study another application of the accelerometers (and gyroscopes)—seismocardiography (SCG) and gyrocardiography (GCG)—to monitor the dog’s heart. Together, 3-axis SCG and 3-axis GCG constitute of 6-axis mechanocardiography (MCG), which is inbuilt to most modern smartphones. Thus, the objective of this study is to assess the feasibility of using a smartphone-only solution to studying dog’s heart. Methods A clinical trial (CT) was conducted at the University Small Animal Hospital, University of Helsinki, Finland. 14 dogs (3 breeds) including 18 measurements (about one half of all) where the dog’s status was such that it was still and not panting were further selected for the heart rate (HR) analysis (each signal with a duration of 1 min). The measurement device in the CT was a custom Holter monitor including synchronized 6-axis MCG and ECG. In addition, 16 dogs (9 breeds, one mixed-breed) were measured at home settings by the dog owners themselves using Sony Xperia Android smartphone sensor to further validate the applicability of the method. Results The developed algorithm was able to select 10 good-quality signals from the 18 CT measurements, and for 7 of these, the automated algorithm was able to detect HR with deviation below or equal to 5 bpm (compared to ECG). Further visual analysis verified that, for approximately half of the dogs, the signal quality at home environment was sufficient for HR extraction at least in some signal locations, while the motion artifacts due to dog’s movements are the main challenges of the method. Conclusion With improved data analysis techniques for managing noisy measurements, the proposed approach could be useful in home use. The advantage of the method is that it can operate as a stand-alone application without requiring any extra equipment (such as smart collar or ECG patch).
  • Koivula, Kimmo; Nikus, Kjell; Viikilä, Juho; Lilleberg, Jyrki; Huhtala, Heini; Birnbaum, Yochai; Eskola, Markku (2019)
    Background Both Q waves and T-wave inversion (TWI) in the presenting ECG are associated with a progressed stage of myocardial infarction, possibly with less potential for myocardial salvage with reperfusion therapy. Combining the diagnostic information from the Q- and T-wave analyses could improve the prognostic work-up in ST-elevation myocardial infarction (STEMI) patients. Methods We sought to determine the prognostic impact of Q waves and TWI in the admission ECG on patient outcome in STEMI. We formed four groups according to the presence of Q waves and/or TWI (Q+TWI+; Q-TWI+; Q+TWI-; Q-TWI-). We studied 627 all-comers with STEMI derived from two patient cohorts. Results The patients with Q+TWI+ had the highest and those with Q-TWI- the lowest 30-day and one-year mortality. One-year mortality was similar between Q-TWI+ and Q+TWI-. The survival analysis showed higher early mortality in Q+TWI- but the higher late mortality in Q-TWI+ compensated for the difference at 1 year. The highest peak troponin level was found in the patients with Q+TWI-. Conclusion Q waves and TWI predict adverse outcome, especially if both ECG features are present. Q waves and TWI predict similar one-year mortality. Extending the ECG analysis in STEMI patients to include both Q waves and TWI improves risk stratification.
  • Haukilahti, Mira Anette E.; Kenttä, Tuomas; Tikkanen, Jani T.; Anttonen, Olli; Aro, Aapo L.; Kerola, Tuomas; Eranti, Antti; Holkeri, Arttu; Rissanen, Harri; Heliovaara, Markku; Knekt, Paul; Junttila, M. Juhani; Huikuri, Heikki (2021)
    Background Cardiac death is one of the leading causes of death and sudden cardiac death (SCD) is estimated to cause approximately 50% of cardiac deaths. Men have a higher cardiac mortality than women. Consequently, the mechanisms and risk markers of cardiac mortality are not as well defined in women as they are in men. Aim The aim of the study was to assess the prognostic value and possible gender differences of SCD risk markers of standard 12-lead electrocardiogram in three large general population samples. Methods The standard 12-lead electrocardiographic (ECG) markers were analyzed from three different Finnish general population samples including total of 20,310 subjects (49.9% women, mean age 44.8 +/- 8.7 years). The primary endpoint was cardiac death, and SCD and all-cause mortality were secondary endpoints. The interaction effect between women and men was assessed for each ECG variable. Results During the follow-up (7.7 +/- 1.2 years), a total of 883 deaths occurred (24.5% women, p <0.001). There were 296 cardiac deaths (13.9% women, p <0.001) and 149 SCDs (14.8% women, p <0.001). Among those who had died due to cardiac cause, women had more often a normal electrocardiogram compared to men (39.0 vs. 27.5%, p = 0.132). After adjustments with common cardiovascular risk factors and the population sample, the following ECG variables predicted the primary endpoint in men: left ventricular hypertrophy (LVH) with strain pattern (p <0.001), QRS duration > 110 ms (p <0.001), inferior or lateral T-wave inversion (p <0.001) and inferolateral early repolarization (p = 0.033). In women none of the variables remained significant predictors of cardiac death in multivariable analysis, but LVH, QTc >= 490 ms and T-wave inversions predicted SCD (p <0.047 and 0.033, respectively). In the interaction analysis, LVH (HR: 2.4; 95% CI: 1.2-4.9; p = 0.014) was stronger predictor of primary endpoint in women than in men. Conclusion Several standard ECG variables provide independent information on the risk of cardiac mortality in men but not in women. LVH and T-wave inversions predict SCD also in women.
  • Sánez Tähtisalo, Heini (Helsingfors universitet, 2017)
    Sydän- ja verisuonisairauksien syntyyn vaikuttavat sekä ympäristötekijät että perimä. EKG kuvaa sydämen sähköistä toimintaa. Mitattaviin osiin jaetun EKG:n rinnalla sydänperäiseen äkkikuolleisuuteen vaikuttavien geenitekijöiden tunnistaminen mahdollistaisi riskipotilaiden tunnistamisen ennen vakavia sydänperäisiä häiriöitä sekä ennaltaehkäisevän lääketieteellisen hoidon kohdentamisen. Tässä kandidaattipolymorfismitutkimuksessa selvitettiin onko sydämen toimintaan osallistuvien beeta1 – ja beeta2 –adrenoreseptorien (ADRB1 ja ADRB2) tai angiotensiinikonvertaasientsyymin (ACE) geenien keskeisillä polymorfismeilla vaikutusta EKG:n piirteisiin. Potilasaineistona oli GENRES-tutkimukseen osallistuneet verenpainetautia sairastavat miehet (n=186). Polymorfismien vaikutusta QT-aikaan ja T-aallon muodostumiseen etsittiin nelivaiheisella lineaarisella regressiomallilla. Analyysien keskeisimpinä tuloksina havaittiin tilastollisesti merkitsevä ADRB1 Gly49 –alleelin QT-aikaa lyhentävä vaikutus ja ADRB1 Gly389 –alleelin QT-aikaa pidentävä vaikutus. ADRB2 Gly16Arg- ja Gln27Glu-vaihteluiden yhteys T-aallon muodostumiseen jäi olemattomaksi tai heikoksi. ACE I/D:n deleetio-polymorfismi viittaa tutkimuksen perusteella T-aallon muutoksiin, jotka ovat yhdistettävissä lisääntyneeseen äkilliseen sydänperäiseen kuolleisuuteen. Tämän tutkielman havainnot viittaavat siis useampiin mahdollisiin polymorfismien ja EKG-muuttujien välisiin yhteyksiin ja kannustavat tarkempiin jatkotutkimuksiin yhteyden kliinisen merkityksen arvioimiseksi.
  • Lehtonen, Arttu O.; Langen, Ville L.; Puukka, Pauli J.; Kahonen, Mika; Nieminen, Markku S.; Jula, Antti M.; Niiranen, Teemu J. (2017)
    Background: Scant data exist on incidence rates, correlates, and prognosis of electrocardiographic P-wave abnormalities in the general population. Methods: We recorded ECG and measured conventional cardiovascular risk factors in 5667 Finns who were followed up for incident atrial fibrillation (AF). We obtained repeat ECGs from 3089 individuals I I years later. Results: The incidence rates of prolonged P-wave duration, abnormal P terminal force (PTF), left P-wave axis deviation, and right P-wave axis deviation were 16.0%, 7.4%, 3.4%, and 2.2%, respectively. Older age and higher BMI were associated with incident prolonged P-wave duration and abnormal PTF (P Conclusions: Modifiable risk factors associate with P-wave abnormalities that are common and may represent intermediate steps of atrial cardiomyopathy on a pathway leading to AF. (C) 2017 Elsevier Inc. All rights reserved.
  • Istolahti, Tiia; Nieminen, Tuomo; Huhtala, Heini; Lyytikäinen, Leo-Pekka; Kähönen, Mika; Lehtimäki, Terho; Eskola, Markku; Anttila, Ismo; Jula, Antti; Rissanen, Harri; Nikus, Kjell; Hernesniemi, Jussi (2020)
    Background: Even minor ST depression in the electrocardiogram (ECG) is associated with cardiovascular disease and increased mortality. There is limited data on the prognostic significance of ST-level changes in the general population. Subjects and methods: A random sample of Finnish subjects (n = 6354) aged over 30 years (56.1% women) underwent a health examination including a 12-lead ECG in the Health 2000 survey. The effects of relative ST level as a continuous variable and ST slope (upsloping, horizontal, downsloping) in three different lead groups were analyzed using a multi-adjusted Cox proportional hazard model separately for men and women with total mortality as endpoint. Results: The follow-up lasted for 13.7 (SD 3.3) years for men and 13.9 (SD 3.1) years for women. Lower lateral ST levels were associated with all-cause mortality in multi-adjusted models in both genders (at.) + 80 ms hazard ratio [HR] 0.64 for a change of 1.0 mm [95% confidence interval 0.49-0.84, p = 0.002] for men and HR 0.61 [0.48-0.78, p <0.001] for women). Associated coronary heart disease had no major influence on the results. Exclusion of subjects with ECG signs of left ventricular hypertrophy from the analyses increased the mortality risk of lower lateral ST levels in men but decreased it in women. For the anterior and inferior lead groups, no statistically significant difference was seen after multivariate adjustment. ST slope was not an independent predictor of mortality after multivariate adjustment Conclusion: Lower ST level in the lateral ECG leads is an independent prognostic factor to predict all-cause mortality in the general population. (C) 2019 Elsevier Inc. All rights reserved.
  • Vuorela, Mikko (Helsingin yliopisto, 2020)
    Sydänsähkökäyrä eli elektrokardiogrammi (EKG) rekisteröidään tyypillisesti epäiltäessä tai seurattaessa sydänsairautta. Lisäksi EKG mitataan usein myös oireettomilta perusterveiltä terveystarkastuksien, leikkauskelpoisuutta arvioivien tutkimuksien tai urheilijoiden sydänterveyden arvioinnin yhteydessä. EKG:n normaalirajojen määrittäminen luo pohjan monien sydänsairauksien diagnostisten kriteerien luomiselle ja määrittämiselle. Tutkimuksessa käsiteltiin 1333 EKG-lyhytrekisteröintiä vapaaehtoisilta perusterveiltä täysi-ikäisiltä suomalaisilta. Rekisteröinnit tehtiin Orion Pharman lääketutkimuksien alkutarkastuksien yhteydessä vuosina 2003 - 2015. Toistomittauksien suodattamisen jälkeen käsiteltiin 898 EKG-rekisteröintiä, joista tarkasteltiin sekä käsin ECIMS- mittausjärjestelmällä mitattuja että EKG:n rekisteröintilaitteiden tulosteisiin määrittämiä automaattisen analyysin arvoja. Tutkimuksen tavoitteena oli muodostaa terveiden suomalaisten lääketutkimuksiin vapaaehtoisesti osallistuvien henkilöiden EKG-lyhytrekisteröintien normaalit johtumisajat, tutkia iän ja sukupuolen vaikutusta johtumisaikoihin, vertailla saatuja tuloksia kirjallisuuteen ja pohtia terveen väestön EKG:n johtumisaikojen normaalirajoja sekä tarkastella poikkeamalöydösten esiintyvyyttä terveessä populaatiossa. Tutkimuksen tulokset vastaavat johtumisaikojen normaalirajojen suhteen oleellisilta osin aikaisempia aikuisväestölle tehtyjä tutkimuksia, joissa havaittiin ikääntymisen ja sukupuolen vaikuttavan johtumisaikoihin. Tulosten ja kirjallisuuden perusteella pitäisi jatkossa pohtia iän ja sukupuolen mukaisten viiterajojen luomista EKG:n johtumisajoille. Tässä tutkimuksessa tehtyjen havaintojen ja kirjallisuuden perusteella voitaisiin esittää esimerkiksi seuraavia viiterajoja: PR- aika 120 – 210 ms, QRS-aika 70 – 110 ms, QRS-akseli -30° – 90° ja QTcF-ajan ylärajaksi miehille 450 ms ja naisille 460 ms. QTcB-ajan käytöstä tulisi luopua. EKG-poikkeavuuksia löytyi perusterveiltä tutkittavilta jonkin verran, mutta niiden kliininen merkitys vaikuttaa kirjallisuuden perusteella pieneltä. Löydösten esiintyvyys vastaa oleellisesti aikaisempia havaintoja kirjallisuudessa. (205 sanaa)
  • Tobon-Cardona, Marcela; Kenttä, Tuomas; Porthan, Kimmo; Tikkanen, Jani T.; Oikarinen, Lasse; Viitasalo, Matti; Salomaa, Veikko; Huikuri, Heikki; Junttila, Juhani M.; Seppänen, Tapio (2018)
    Objective: Our aim was to develop an automated detection method, for prescreening purposes, of early repolarization (ER) pattern with slur/notch configuration in electrocardiogram (ECG) signals using a waveform prototype-based feature vector for supervised classification. Approach: The feature vectors consist of fragments of the ECG signal where the ER pattern is located, instead of abstract descriptive variables of ECG waveforms. The tested classifiers included linear discriminant analysis, k-nearest neighbor algorithm, and support vector machine (SVM). Main results: SVM showed the best performance in Friedman tests in our test data including 5676 subjects representing 45408 leads. Accuracies of the different classifiers showed results well over 90%, indicating that the waveform prototype-based feature vector is an effective representation of the differences between ECG signals with and without the ER pattern. The accuracy of inferior ER was 92.74% and 92.21% for lateral ER. The sensitivity achieved was 91.80% and specificity was 92.73%. Significance: The algorithm presented here showed good performance results, indicating that it could be used as a prescreening tool of ER, and it provides an additional identification of critical cases based on the distances to the classifier decision boundary, which are close to the 0.1 mV threshold and are difficult to label.