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Jurnal Teknik Elektro dan Komputer TRIACJurnal Teknik Elektro dan Komputer TRIAC

Cardiovascular disease (CVD) motivates affordable, continuous monitoring of heart rate and peripheral oxygen saturation (SpO₂). We present a single-MCU device using ESP32 and MAX30102 photoplethysmography sensor that acquires heart rate and SpO₂ and streams data to a ThingSpeak dashboard. Performance was evaluated over four consecutive days under normal conditions, with five paired measurements per day against a clinically approved fingertip oximeter. Using all paired observations, the proposed design achieved low errors with RMSE = 0.84 bpm for heart rate and 0.59 percentage points for SpO₂, the maximum absolute error did not exceed 1 bpm or 1 pp, respectively. These results demonstrate end-to-end operation and good agreement with reference in resting conditions.

The proposed device successfully measures heart rate and oxygen saturation while simultaneously transmitting data to the ThingSpeak dashboard for live visualization.Compared to a clinical-grade reference oximeter, the device achieves low error under normal conditions, demonstrating proper end-to-end operation.Further research is needed to improve optical shielding, finger alignment, and pressure consistency, as well as to quantify telemetry Quality of Service (QoS) metrics.

Penelitian lebih lanjut dapat dilakukan untuk meningkatkan akurasi dan keandalan sistem pemantauan kesehatan berbasis IoT ini. Pertama, studi komparatif dapat dilakukan dengan berbagai jenis sensor PPG dan algoritma pemrosesan sinyal untuk mengidentifikasi konfigurasi optimal yang meminimalkan noise dan artefak. Kedua, pengembangan aplikasi seluler yang terintegrasi dengan dashboard ThingSpeak dapat memberikan antarmuka yang lebih ramah pengguna bagi pasien dan profesional kesehatan untuk memantau data secara real-time dan menerima peringatan jika ada anomali. Ketiga, penelitian dapat difokuskan pada integrasi sistem ini dengan teknologi machine learning untuk memprediksi risiko penyakit kardiovaskular berdasarkan pola data historis, sehingga memungkinkan intervensi dini dan perawatan preventif yang lebih efektif. Penelitian-penelitian ini diharapkan dapat memberikan kontribusi signifikan dalam meningkatkan kualitas layanan kesehatan dan aksesibilitas pemantauan kesehatan bagi masyarakat luas.

  1. Pulse Rate and Blood Oxygen Monitor to Help Detect Covid-19: Implementation and Performance | IEEE Conference... ieeexplore.ieee.org/document/9422520Pulse Rate and Blood Oxygen Monitor to Help Detect Covid 19 Implementation and Performance IEEE Conference ieeexplore ieee document 9422520
  2. IoT Based Tracking System for Patients – IJSREM. iot based tracking system patients ijsrem find... ijsrem.com/download/iot-based-tracking-system-for-patientsIoT Based Tracking System for Patients Ae IJSREM iot based tracking system patients ijsrem find ijsrem download iot based tracking system for patients
  1. #heart rate#heart rate
  2. #heart rate variability (hrv)#heart rate variability (hrv)
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Short Linkhttps://juris.id/p-3b5
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