Rosohadi, Iman Ramacaesar (2019) Sistem Monitoring Laju Pernapasan Menggunakan Teknik Korelasi Citra Digital Berbasis Kamera Microsoft Kinect. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Suatu sistem monitoring laju pernapasan menggunakkan teknik korelasi citra digital berbasis microsoft kinect telah dirancang. Sistem tersebut bekerja dengan membaca setiap perubahan citra dari kamera RGB dengan kamera infra merah secara berkala berdasarkan pantulan pola yang dipancarkan oleh proyektor sinar infra merah. Sistem tersebut dapat membaca pernapasan dada berdasarkan perubahan toraks dan pernapasan perut berdasarkan perubahan usus yang terdorong oleh difragma. Pada saat ekspirasi pernapasan dada memiliki perubahan sebesar 6 cm dan pernapasan perut memiliki perubahan sebesar 2 cm dengan error antara jarak aktual dan jarak terukur sebesar 0.21 cm. Berdasarkan validasi frekuensi telah didapatkan error sebesar 0.02 Hz, 0.02 Hz dan 0.03 dengan frekuensi valiasi sebesar 12 RPM, 16 RPM dan 18 RPM. Data 10 partisipan telah didapatkan, data tersebut dikategorikan dalam menjadi 3 jenis laju pernapasan yaitu lambat, normal dan cepat dengan hasil pernapasan dada terdapat 1 pernapasan lambat, 6 pernapasan normal dan 3 pernapasan cepat sedangkan untuk perut didapatkan 2 pernapasan lambat, 7 pernapasan normal dan 1 pernapasan cepat. Pada posisi tidur didapatkan hasil pernapasan dada terdapat 1 pernapasan lambat dan 2 pernapasan normal sedangkan untuk pernapasan perut didapatkan 3 pernapasan normal.
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A respiratory rate monitoring system using digital image correlation
technique by microsft kinect camer had been designed. This monitoring
system works by reading every movement changes between rgb camera and
infrared camera periodically based on the reflection interactions that was
projected in a specific infrared pattern.This system could determine the
chest respiratory rate of an individualby analyzing the movement of depth
in thorax area and diaphragm respiratory rate by analyzing the depth
movement from stomach or belly area. The analyzed area was choose
based on the chest respiratory inspiration which shows that there are 6 cm
difference from the chest surface than expiration chest respiratory, this
process also happen on abdominal area whereas it shows 2 cm difference
during inspiration diaphragm respirator with the error that was obtained
from distance vallidation is 0.21 cm. Based on the frequency vallidation it
is obtained that microsoft kinect kamera had the error of 0.02 Hz, 0.04 Hz
and 0.02 Hz with the 3 known frequency of 12 RPM, 16 RPM and 18 RPM.
The respiratory rate data from 10 participants was also obtained and the
result was thera are 1 participant with slow rate, 4 normal rate and 5 fast
rate on chest respiratiry while the diaphragm respiratory there are
particapants with 2 slow rate, 5 normal rate and 3 fast rate based on 3
categories of respiratory rate. For sleeping position it was categorized as 1
slow rate and 2 normal rate on chest respiratory, while the diaphragm
respiratory there are 3 normal rates based on 3 subject participant.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSF 621.367 Ros s-1 2019 |
| Uncontrolled Keywords: | laju pernapasan, korelasi citra digital, microsoft kinect |
| Subjects: | Q Science > QC Physics > QC457 Infrared technology. R Medicine > R Medicine (General) T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Iman Ramacaesar Rosohadi |
| Date Deposited: | 07 Apr 2022 03:52 |
| Last Modified: | 07 Apr 2022 03:52 |
| URI: | http://repository.its.ac.id/id/eprint/62268 |
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