Rancang Bangun 3D Printed Stethoscope Pada Android Smartphone Case

Fajar, Birly (2021) Rancang Bangun 3D Printed Stethoscope Pada Android Smartphone Case. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 02311740000040-Undergraduate_Thesis.pdf] Text
02311740000040-Undergraduate_Thesis.pdf - Accepted Version
Restricted to Repository staff only until 1 October 2023.

Download (4MB) | Request a copy
[thumbnail of 02311740000040-Undergraduate_Thesis.pdf] Text
02311740000040-Undergraduate_Thesis.pdf
Restricted to Repository staff only

Download (4MB) | Request a copy
[thumbnail of 02311740000040-Undergraduate_Thesis.pdf] Text
02311740000040-Undergraduate_Thesis.pdf
Restricted to Repository staff only

Download (4MB) | Request a copy

Abstract

Pentingnya stetoskop digital untuk penggunaan teleconsultation sangatlah relevan pada kondisi
pandemi saat ini. Namun, harga stetoskop yang mahal menyebabkan masyarakat Indonesia tidak
mampu membelinya. Pada penelitian ini akan dirancang stetoskop pada casing smartphone berbasis
Android yang dapat merekam dan mereduksi noise. Metode noise cancelling yang digunakan adalah
spectral subtraction dan low pass filter. Metode ini nantinya akan memanfaatkan 2 mikrofon yang
terdapat pada smartphone. Mikrofon satu untuk mengambil suara jantung dan noise sementara
mikrofon lainnya untuk mengambil noise saja. Pengambilan data diambil dalam dua kondisi yang
berbeda, menggunakan noise dan tanpa noise. Terdapat 3 kondisi noise yang digunakan yaitu
tangisan bayi, satu orang berbicara, dan tiga orang berbicara. Subjek yang dipakai adalah 5 orang
laki-laki yang memiliki jantung normal. Jarak pengambilan data adalah 1,5 m di mana noise
dibunyikan menggunakan speaker. Sinyal suara jantung dapat dipisahkan dengan sinyal noise yang
menggunakan kombinasi dari spectral subtraction dan low pass filter yang dinyatakan dengan nilai
SNR Improvement. Perbandingan nilai cross-correlation antara jantung hasil simulasi jauh lebih
besar dibandingkan jantung pada saat terdapat noise. Nilai korelasi setelah simulasi berada pada
rentang 0.055 – 0.124 sementara nilai sebelum simulasi berada pada rentang 0.001 – 0.067.
=====================================================================================================
The importance of a digital stethoscope for teleconsultation is relevant in the current pandemic conditions. However, the high price of a stethoscope causes Indonesian people can’t afford it. In this study, a stethoscope will be designed on an Android-based smartphone case that can be recorded and reduce noise. The noise-canceling method used is spectral subtraction. This method will utilize
2 microphones in the smartphone. One microphone to record heart sound and noise while the other microphone to record noise only. Data retrieval was taken in two different room conditions, using noise and without noise. There are 3 noise conditions used, they are baby crying, one person talking,
and three people talking. The subjects used 5 men who had normal hearts. The data retrieval distance is 1.5 m where the noise was sounded using the speaker. The heart sound signal can be separated from the noise signal using a combination of spectral subtraction and low pass filter which is expressed by the SNR Improvement value. The correlation value after being simulated is in the range of 0.055 – 0.124 while the value before being simulated is in the range of 0.001 – 0.067.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Noise, Stetoskop Digital, Smartphone, Spectral Subtraction, Noise, Digital Stethoscope, Smartphone
Subjects: Q Science > QC Physics > QC221 Acoustics. Sound
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing.
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Birly Fajar
Date Deposited: 06 Sep 2021 09:36
Last Modified: 06 Sep 2021 09:36
URI: http://repository.its.ac.id/id/eprint/91771

Actions (login required)

View Item View Item