Analisis Fitur HRV pNN50 pada Sinyal Psikofisiologis Marah Manusia
Abstract
Affective Computing dan Affective medicine dapat menjadi bidang yang menggabungkan teknik komputasi, ilmu kesehatan dan psikologi. Bidang ini dikembangkan untuk mempelajari dan mengkomputasi psikologi manusia dengan menggunakan metode matematika. Dalam paper ini, kami meneliti sinyal psikofisiologis Marah Manusia dengan menggunakan fitur pNN50 Heart Rate Variability. Dalam penelitian ini kami menggunakan sensor EKG untuk merekan reaksi jantung manusia terhadap stimuli video marah yang dipertunjukkan ke mereka. Sinyal tersebut akan dianalisis dengan menggunakan aplikasi kubiosHRV untuk mendapat nilai pNN50 dari masing-masing partisipan. Hasil penelitina ini menunjukkan bahwa ada perbedaan nilai pNN50 sebelum dan sesudah mendapatkan Stimuli Video. Hal ini menunjukkan bahwa pNN50 dapat digunakan sebagai fitur untuk membedakan sinyal jantung manusia pada saat marah dan normal.
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