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Hasil Pencarian

Ditemukan 10 dokumen yang sesuai dengan query
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Pakpahan, Henry A.P.
Jakarta: Badan Penerbit Fakultas Kedokteran Universitas Indonesia, 2012
616.12 PAK e
Buku Teks SO  Universitas Indonesia Library
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Sjukri Karim
Jakarta: Balai Penerbit Fakultas Kedokteran Universitas Indonesia, 2007
616.120 SJU e
Buku Teks SO  Universitas Indonesia Library
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Thaler, Malcom S.
Jakarta: Penerbit Buku Kedokteran EGC, 2016
616.12 THA s
Buku Teks SO  Universitas Indonesia Library
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Akhmad Riza
"Alat EKG 12-sadapan digunakan di rumah sakit sebagai pilihan utama alat diagnostik sebagian besar gangguan jantung. Penelitian ini bertujuan untuk mendapatkan gambaran tingkat pengetahuan perawat merekam EKG 12-sadapan dan mengidentifikasi faktor-faktor apa saja yang mempengaruhinya. Jenis penelitian ini adalah deskriptif korelatif. Responden dalam penelitian ini adalah perawat di Rumah Sakit Marzoeki Mahdi Bogor sebanyak 70 orang.
Hasil penelitian menunjukkan sebanyak 55 orang (78,6%) mempunyai pengetahuan merekam EKG 12-sadapan dengan kategori kurang dan tidak ada hubungan antara jenis kelamin, tingkat pendidikan, masa kerja, posisi pekerjaan, pengalaman mengoperasikan alat EKG, pelatihan, dan sumber informasi dengan tingkat pengetahuan merekam EKG 12-sadapan. Terdapat hubungan bermakna antara karakteristik usia dan unit kerja responden dengan tingkat pengetahuan merekam EKG 12-sadapan.

Appliance ECG 12-lead applied in hospital as main choice of diagnostic appliance most heart trouble. This research aim to get image of level of knowledge of nurse record EKG l2-lead and identify factors any kind of influencing it. This research type is descriptive correlative. Respondent in this research is nurse in Hospital Marzoeki Mahdi Bogor counted 70 people.
Research result show counted 55 people (78,6%) have knowledge of recording ECG 12-lead with category is less and there no relation between gender, level of education, year of service, position of work, experience of operating appliance ECG, training, and information source with level of knowledge of recording EKG 12-lead. There are relationship have a meaning of between responders jobs units and ages characteristics with level of knowledge of recording ECG 12-lead.
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Depok: Fakultas Ilmu Keperawatan Universitas Indonesia, 2009
TA5835
UI - Tugas Akhir  Universitas Indonesia Library
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Pakpahan, Henry A.P.
Jakarta: Penerbit buku Kedokteran EGC, 2016
616.12 HEN e
Buku Teks SO  Universitas Indonesia Library
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M. Yiwansyah Mega
"Penelitian ini bertujuan untuk merancang dan membangun Sistem Elektrokardiograf (EKG) Pemantau Nirkabel menggunakan mikrokontroler dan komputer dengan menggunakan sistem daya rendah. Penelitian ini menghasilkan Prototipe perangkat keras dan lunak sistem EKG pemantau nirkabel dua elektroda dan satu elektroda penggerak kaki kanan dengan catu masukan tunggal +3V yang dinamakan SPEN-IT (Sistem Pemantau Elektrokardiograf Nirakabel dan Internet), yang cukup baik untuk mengakuisisi sinyal EKG pada manusia. Dari Data pengujian dengan membandingkan data dari alat komersial Cardiette dan Cardio Control milik PKM UI menunjukkan sinyal puncak R pada segmen QRS lebih tinggi sebesar masing-masing 5,1% dan 5,4%. Hal ini disebabkan oleh toleransi komponen yang digunakan ksususnya variabel resistor sebesar 5%. Sedangakan untuk karakteristik pewaktuan sinyal EKG, terdapat perbedaan maksimum sebesar 13% hal ini disebabkan karena penentuan batas dalam pembacaan yang dilakukan secara manual. Dari penggunaan filter digital seperti Moving average, Filter Notch 50 Hz dan Band Pass 2Hz~10Hz, Hanya filter moving average yang mengalami pelemahan signifikan sebesar 22,3%. Sistem juga berhasil dengan baik bekerja secara nirkabel dan dapat dipantau secara online melalui jaringan internet."
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2007
T21194
UI - Tesis Membership  Universitas Indonesia Library
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Elly Matulimah
"Pengenalan pola beat dalam analisa rekaman elektrokardiogram (EKG) menjadi bagian yang penting dalam deteksi penyakit jantung terutama aritmia. Banyak metode yang dikembangkan terkait dengan pengenalan pola beat, namun sebagian besar masih mengunakan algoritma klasifikasi klasik di mana masih belum mampu mengenali outlier klasifikasi. Fuzzy Learning Vector Quantization (FLVQ) merupakan salah satu algoritma yang mampu untuk mengenali outlier klasifikasi tetapi juga memiliki kelemahan untuk sistem uji yang bukan data berkelompok. Dalam tulisan ini peneliti mengusulkan Fuzzy Wavelet LearningVector Quantization (FWLVQ), yaitu modifikasi FLVQ sehingga mampu mengatasi data crisp maupun data fuzzy dan juga memodifikasi inferensi sistemnya sebagai perpaduan model fuzzy Takagi Sugeno Kang dengan wavelet. Sinyal EKG diperoleh dari database MIT-BIH. Sistem pengenalan pola beat secara keseluruhan terbagi atas dua bagian yaitu data pra proses dan klasifikasi. Hasil percobaan diperoleh bahwa FWLVQ memiliki akurasi sebesar 90.20% untuk data yang tidak mengandung outlier klasifikasi dan 87.19% untuk data yang melibatkan outlier klasifikasi dengan rasio data uji outlier klasifikasi dengan data non-outlier sebesar 1:1.

Abstract
The recognition of beat pattern in analysis of recording an electrocardiogram (ECG) becomes an important detection of heart disease, especially arrhythmias. Many methods are developed related to the recognition of beat patterns, but most still use the classical classification algorithms which are still not able to identify outlier classification. Fuzzy Learning Vector Quantization (FLVQ) is one of the algorithms that can identify outlier classification but also has a weakness for test systems that are not grouped data. In this paper we propose a Fuzzy Wavelet Quantization Learning Vector (FWLVQ), which is modified so as to overcome FLVQ crisp data and fuzzy data and also modify the inference system as a combination of Takagi Sugeno Kang fuzzy model with the wavelet. ECG signal obtained from the MIT-BIH database. Beat pattern recognition system as a whole is divided into two parts: data pre-processing and classification. The experimental results obtained that FWLVQ has an accuracy 90.20% for data that does not contain outlier classification and 87.19% for the classification of data involving outlier ratio outlier test data classification with non-outlier data of 1:1."
Surabaya: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Surabaya, 2011
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library
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Hampton, John R.
"Encourages the reader to accept that the ECG is easy to understand and that its use is just a natural extension of taking the patient's history and performing a physical examination. This title directs users of the electrocardiogram to straightforward and accurate identification of normal and abnormal ECG patterns"
Edinburgh: Churchill Livingstone/Elsevier, 2013
616.12 HAM e
Buku Teks SO  Universitas Indonesia Library
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Hanafi
"Electrocardiogram ( EKG ) adalah alat pengukur sinyal jantung yang digunakan untuk mendiagnosa fungsi jantung. Pada rumah-sakit atau unit pelayanan kesehatan seperti puskesmas, klinik, pos kesehatan yang letaknya jauh dari kota besar, jumlah alat tersebut belum terlalu banyak karena harganya masih relatif mahal. Selain harga peralatan mahal, ada kendala lain yang dihadapi tenaga kesehatan di unit-unit pelayanan yang letaknya jauh terpencil dalam hal konsultasi dengan konsulen atau dokter ahli di rumah sakit pusat yaitu masalah waktu dan biaya.
Untuk membantu mengatasi masalah tersebut, penulis merancang prototype alat EKG yang diberi nama EKG Telemedika. Alat ini direncanakan berfungsi untuk mengukur sinyal jantung, kemudian dapat mengirirnkan sinyal tersebut ke tempat lain dengan menggunakan komputer, modem dan jaringan telepon PSTN.
Perancangan yang dilakukan terdiri dari perancangan sistem, perancangan perangkat keras dan perancangan perangkat lunak. Perancangan perangkat keras berupa pembuatan kard EKG yang terdiri dari bagian pengendali menggunakan sistem minimum mikroprosessor 8031, proteksi dan penyangga, lead selektor, penguat differensial, filter, rangkaian isolasi dan konverter analog ke digital.
Hasil pengujian yang dilakukan pada slat tersebut menunjukan bahwa EKG telemedika dapat mengukur sinyal jantung dari phantom EKG ( alas simulasi pembangkit sinyal jantung ), meskipun sinyalnya masih dipengaruhi oleh noise dan pengiriman sinyal jantung melalui jaringan telepon dapat dilakukan."
Depok: Fakultas Teknik Universitas Indonesia, 1999
T16748
UI - Tesis Membership  Universitas Indonesia Library
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Mohammad Rijal Alaydrus
"[ABSTRAK
Hipertrofi ventrikel kanan (HVKa) pada tetralogy fallot (TF) merupakan suatu respon adaptif akibat dari peningkatan tekanan di ventrikel kanan (VKa) dan hipoksia. HVKa yang berat vektor jantung akan mengarah ke kanan-posterior dapat menyebabkan gelombang S yang dalam di sadapan V6. Sementara itu pasien TF yang lama tidak dikoreksi akan mengalami paparan tekanan berlebih dan sianosis yang lebih lama juga, yang dapat menyebabkan perubahan-perubahan di tingkat seluler kardiomiosit yang pada akhirnya menyebabkan disfungsi VKa, dan sindrom curah jantung rendah (SCJR). Walaupun angka kesintasan pasca operasi baik, tapi perburukan SCJR dapat mengakibatkan kematian. Saat ini belum jelas bagaimana hubungan antara gelombang S di V6 dengan luaran total koreksi TF khususnya kejadian SCJR.
Metode
Penelitian dengan metode potong lintang. Subyek penelitian adalah TF yang menjalani total koreksi selama tahun 2013 sebanyak 150 pasien, 35 diantaranya dikeluarkan dari penelitian karena tidak memenuhi kriteri inklusi. Subyek dibagi menjadi 2 kelompok yaitu kelompok subyek dengan temuan kriteria S di V6 dan subyek yang untuk melihat hubungan temuan kriteria tersebut dengan variabel dasar. Kemudian dilakukan analisis bifariat terhadap kejadian SCJR, variabel dengan nilai p < 0.25 di masukkan dalam analisa multivariat. Nilai p< 0.05 dianggap bermakna.
Hasil
Usia yang lebih muda, saturasi dan hematokrit yang lebih tinggi ditemukan pada kelompok subyek memenuhi kriteria gelombang S di V6. Kemudian, usia yag lebih muda, saturasi yang tinggi, kriteria gelombang R di aVR, kriteria gelombang S di I dan kriteria gelombang S di V6 berhubungan dengan kejadian SCJR. Analisis multivariat kriteria gelombang S di V6 berhubungan dengan kejadian SCJR dengan OR 3.2, interval kepercayaan 95% 1.2 - 8.5 dan nilai p=0.02
Kesimpulan
Kriteria EKG gelombang S di sadapan V6 untuk diagnosis HVKa berhubungan dengan kejadian SCJR pasca total koreksi pasien TF.

ABSTRACT
Tetralogy of Fallot (TOF) is a common cyanotic congenital heart disease. Right ventricular hypertrophy (RVH) is an adaptive response due to pressure overload and hypoxia in right ventricle (RV); it can be manifested as tall R wave in right precordial leads. This is due to changing direction of cardiac-vector to right In severe RVH, the cardiac vector rotated to right posterior causing deep S wave in V6. Uncorrected TF will expossed to prolong pressure overload and hypoxia, it can caused changes in cardiomyocite that can leads to RV dysfunction, low cardiac output syndrom (LCOS), and arrhythmias. Although the post operation survival rate was quite good, but worsening LCOS could increase mortality. In present time, the association between S wave in V6 and postoperative TOF outcomes, especially LCOS, has not been explained.
Methods
This is a cross sectional study. 150 TOF patients underwent total correction in 2013 included in this study. 35 patients who didn?t meet the inclusion criteria were excluded. Subjects divided in 2 groups: (1) patients who meets S in V6 criteria, and (2) control subjects as baseline characteristic. Bivariate analysis was done for incidence of LCOS, the variable with P<0.25 included in multivariate analysis. The significant value was p<0.5.
Results
Multivariate analysis showed S wave in V6 correlated with the incidence of LCOS with odds ratio 3.2, CI 95% (1.2-8.5), p=0.02.
Conclusion
The ECG findings S wave in V6 leads to diagnose RVH correlated with incidence of LCOS in post total correction TOF. An S wave criterion in V6 of RVH patients? OR was 3.2 to predicts LCOS;Tetralogy of Fallot (TOF) is a common cyanotic congenital heart disease. Right ventricular hypertrophy (RVH) is an adaptive response due to pressure overload and hypoxia in right ventricle (RV); it can be manifested as tall R wave in right precordial leads. This is due to changing direction of cardiac-vector to right In severe RVH, the cardiac vector rotated to right posterior causing deep S wave in V6. Uncorrected TF will expossed to prolong pressure overload and hypoxia, it can caused changes in cardiomyocite that can leads to RV dysfunction, low cardiac output syndrom (LCOS), and arrhythmias. Although the post operation survival rate was quite good, but worsening LCOS could increase mortality. In present time, the association between S wave in V6 and postoperative TOF outcomes, especially LCOS, has not been explained.
Methods
This is a cross sectional study. 150 TOF patients underwent total correction in 2013 included in this study. 35 patients who didn’t meet the inclusion criteria were excluded. Subjects divided in 2 groups: (1) patients who meets S in V6 criteria, and (2) control subjects as baseline characteristic. Bivariate analysis was done for incidence of LCOS, the variable with P<0.25 included in multivariate analysis. The significant value was p<0.5.
Results
Multivariate analysis showed S wave in V6 correlated with the incidence of LCOS with odds ratio 3.2, CI 95% (1.2-8.5), p=0.02.
Conclusion
The ECG findings S wave in V6 leads to diagnose RVH correlated with incidence of LCOS in post total correction TOF. An S wave criterion in V6 of RVH patients’ OR was 3.2 to predicts LCOS;Tetralogy of Fallot (TOF) is a common cyanotic congenital heart disease. Right ventricular hypertrophy (RVH) is an adaptive response due to pressure overload and hypoxia in right ventricle (RV); it can be manifested as tall R wave in right precordial leads. This is due to changing direction of cardiac-vector to right In severe RVH, the cardiac vector rotated to right posterior causing deep S wave in V6. Uncorrected TF will expossed to prolong pressure overload and hypoxia, it can caused changes in cardiomyocite that can leads to RV dysfunction, low cardiac output syndrom (LCOS), and arrhythmias. Although the post operation survival rate was quite good, but worsening LCOS could increase mortality. In present time, the association between S wave in V6 and postoperative TOF outcomes, especially LCOS, has not been explained.
Methods
This is a cross sectional study. 150 TOF patients underwent total correction in 2013 included in this study. 35 patients who didn’t meet the inclusion criteria were excluded. Subjects divided in 2 groups: (1) patients who meets S in V6 criteria, and (2) control subjects as baseline characteristic. Bivariate analysis was done for incidence of LCOS, the variable with P<0.25 included in multivariate analysis. The significant value was p<0.5.
Results
Multivariate analysis showed S wave in V6 correlated with the incidence of LCOS with odds ratio 3.2, CI 95% (1.2-8.5), p=0.02.
Conclusion
The ECG findings S wave in V6 leads to diagnose RVH correlated with incidence of LCOS in post total correction TOF. An S wave criterion in V6 of RVH patients’ OR was 3.2 to predicts LCOS;Tetralogy of Fallot (TOF) is a common cyanotic congenital heart disease. Right ventricular hypertrophy (RVH) is an adaptive response due to pressure overload and hypoxia in right ventricle (RV); it can be manifested as tall R wave in right precordial leads. This is due to changing direction of cardiac-vector to right In severe RVH, the cardiac vector rotated to right posterior causing deep S wave in V6. Uncorrected TF will expossed to prolong pressure overload and hypoxia, it can caused changes in cardiomyocite that can leads to RV dysfunction, low cardiac output syndrom (LCOS), and arrhythmias. Although the post operation survival rate was quite good, but worsening LCOS could increase mortality. In present time, the association between S wave in V6 and postoperative TOF outcomes, especially LCOS, has not been explained.
Methods
This is a cross sectional study. 150 TOF patients underwent total correction in 2013 included in this study. 35 patients who didn’t meet the inclusion criteria were excluded. Subjects divided in 2 groups: (1) patients who meets S in V6 criteria, and (2) control subjects as baseline characteristic. Bivariate analysis was done for incidence of LCOS, the variable with P<0.25 included in multivariate analysis. The significant value was p<0.5.
Results
Multivariate analysis showed S wave in V6 correlated with the incidence of LCOS with odds ratio 3.2, CI 95% (1.2-8.5), p=0.02.
Conclusion
The ECG findings S wave in V6 leads to diagnose RVH correlated with incidence of LCOS in post total correction TOF. An S wave criterion in V6 of RVH patients’ OR was 3.2 to predicts LCOS, Tetralogy of Fallot (TOF) is a common cyanotic congenital heart disease. Right ventricular hypertrophy (RVH) is an adaptive response due to pressure overload and hypoxia in right ventricle (RV); it can be manifested as tall R wave in right precordial leads. This is due to changing direction of cardiac-vector to right In severe RVH, the cardiac vector rotated to right posterior causing deep S wave in V6. Uncorrected TF will expossed to prolong pressure overload and hypoxia, it can caused changes in cardiomyocite that can leads to RV dysfunction, low cardiac output syndrom (LCOS), and arrhythmias. Although the post operation survival rate was quite good, but worsening LCOS could increase mortality. In present time, the association between S wave in V6 and postoperative TOF outcomes, especially LCOS, has not been explained.
Methods
This is a cross sectional study. 150 TOF patients underwent total correction in 2013 included in this study. 35 patients who didn’t meet the inclusion criteria were excluded. Subjects divided in 2 groups: (1) patients who meets S in V6 criteria, and (2) control subjects as baseline characteristic. Bivariate analysis was done for incidence of LCOS, the variable with P<0.25 included in multivariate analysis. The significant value was p<0.5.
Results
Multivariate analysis showed S wave in V6 correlated with the incidence of LCOS with odds ratio 3.2, CI 95% (1.2-8.5), p=0.02.
Conclusion
The ECG findings S wave in V6 leads to diagnose RVH correlated with incidence of LCOS in post total correction TOF. An S wave criterion in V6 of RVH patients’ OR was 3.2 to predicts LCOS]"
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2014
T58767
UI - Tesis Membership  Universitas Indonesia Library