Students

Graduated Students

• Mufida Eliana
  Research:
  Atrial fibrillation detection using RR-interval irregularity supported by particle swarm optimization
• Trio Pambudi Utomo
  Research:
  QT-Interval Measurement Based on Region of Interest Using Android Smartphone
• Mar’atus Solikhah
  Research:
  Atrial fibrillation detection using artificial neural network
• Dewi Cahya Fitri
  Research:
  Myocardial infarction detection using artificial neural network
• Friescha Septiyani
  Research:
  Fetal Heartrate Extraction
• Aida Noor Indrawati
  Research:
  Sleep apnea detection using artificial neural network
• Ariefah Shalihah
  Research:
  Drowsiness Detection using RBF Neural Network and PSO
• Fahmi Alhafid
  Research:
  Prediction of Atrial fibrillation using RBF Neural Networks and PSO
• Dza’aini Ufida
  Research:
  Fetal heart rate extraction using empirical mode decomposition
• Wulandari
  Research:
  Heart rate monitoring based on electrocardiogram records using Android
• Adfal Afdala
  Research:
  Automatic detection of atrial fibrillation using feature development of RR interval that is classified by artificial neural network backpropagation
• Kemas Farosi
  Research:
  Fuzzy inference system optimization in atrial fibrillation detection system with electrocardiogram feature
• Arief Adhi Nugroho
  Research:
  Premature ventricular contraction detection using artificial neural network developed in android application
• Eka Anzihory
  Research:
  Atrial fibrillation detection system uses RR electrocardiogram with artificial neural networks
• Aprilia Tri Astuti
  Research:
  Electrocardiogram making and automatic determination of QRS intervals
• Bintang Adi Kusuma
  Research:
  Wireless phonocardiogram manufacture and Heart Rate monitoring using Android
• Olivia Maftukhaturrizqoh
  Research:
  Drowsiness detection using radial basis function network with electrocardiographic RR interval statistical feature