Pengembangan Alat Ukur Konsentrasi Hemoglobin Non-Invasif Menggunakan Photoplethysmography dan Berbasis Machine Learning = Development of a Non-Invasive Hemoglobin Concentration Measurement Device Based on Photoplethysmography and Machine Learning

Rancang Bangun Sistem Embedded Pengukuran Konsentrasi Hemoglobin Noninvasif deng = Design and Development of an Embedded System for Non Invasive Hemoglobin Concentration Measurement Using Machine Learning Method Based on Nvidia Jetson Nano

Algoritma Pengolahan Sinyal Photoplethysmography (PPG) Berbasis Ekstraksi Fitur dan Machine Learning untuk Sistem Pengukuran Tekanan Darah Noninvasif = Photoplethysmography (PPG) Signal Processing Algorithm Based on Feature Extraction and Machine Learning for Noninvasive Blood Pressure Measurement System

Pengembangan Model Prediksi Hemoglobin Berbasis Sensor Photoplethysmography MAXM86161 = Development of Hemoglobin Prediction Model Based on Photoplethysmography Sensor MAXM86161

Pengembangan Model Pengukuran Vital Sign Berbasis Deep Learning dengan Data Imaging Photoplethysmography = Development of a Vital Sign Measurement Model Based on Deep Learning with Imaging Photoplethysmography Data