Flag Counter
AKILLI SİSTEMLER VE UYGULAMALARI DERGİSİ
JOURNAL OF INTELLIGENT SYSTEMS WITH APPLICATIONS
J. Intell. Syst. Appl.
E-ISSN: 2667-6893
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

Wearable Auscultation Device Design

Giyilebilir Oskültasyon Cihazı Tasarımı

How to cite: Ballı O, Kutlu Y. Wearable auscultation device design. Akıllı Sistemler ve Uygulamaları Dergisi (Journal of Intelligent Systems with Applications) 2022; 5(2): 106-109.

Full Text: PDF, in English.

Total number of downloads: 413

Title: Wearable Auscultation Device Design

Abstract: Auscultation is a treatment method frequently used by physicians in terms of giving general information about the body. By listening to the sounds of breathing, the physician can have a general knowledge of the patient's body. In addition, respiratory distress occurs in many diseases such as COPD and asthma. The development of biomedical device technology makes it faster and easier to diagnose and treat. In this study, an electronic equipment has been prepared for the auscultation process. It has 4 channels in the hardware, and two of the channels listen to the heart. Of the remaining 2 channels, one performs listening to the left and the other the right lung. A filter is designed for the heart, which decays between 20-500 Hz. Since breathing sounds can be heard at a wider frequency, a filter has been prepared that passes between 100-1000 Hz.

Keywords: Biomedical device design; Auscultation; Wearable technology


Başlık: Giyilebilir Oskültasyon Cihazı Tasarımı

Özet: Oskültasyon, vücut hakkında genel bilgi verebilmesi açısından hekimler tarafından sıkılıkla kullanılan bir tedavi yöntemidir. Solunum seslerinin dinlenmesi ile hekim hasta vücudu hakkında genel bir bilgiye sahip olabilmektedir. Ayrıca solunum rahatsızlığı KOAH, astım gibi birçok hastalıkta ortaya çıkmaktadır. Biyomedikal cihaz teknolojisinin gelişmesi, yapılacak teşhis ve tedavileri daha hızlı ve kolay hale getirmektedir. Bu çalışmada oskültasyon işlemi için elektronik bir donanım hazırlanmıştır. Donanımda 4 kanallı olup kanallardan ikisi kalbi dinlemektedir. Kalan 2 kanaldan biri sol diğeri sağ akciğeri dinleme işlemini gerçekleştirmektedir. Kalp için 20-500 Hz arasını geçiren bir filtre tasarlanmıştır. Solunum sesleri daha geniş bir frekansta duyulabildiği için 100-1000 Hz arasını geçiren filtre hazırlanmıştır.

Anahtar kelimeler: Biyomedikal cihaz tasarımı; Oskültasyon; Giyilebilir teknoloji


Bibliography:
  • Tamas W, Notton G, Paoli C, Nivet ML, Voyant C. Hybridization of air quality forecasting models using machine learning and clustering: An original approach to detect pollutant peaks. Aerosol and Air Quality Research 2016; 16(2): 405–416.
  • Reichert S, Gass R, Brandt C, Andres E. Analysis of respiratory sounds: State of the art. Clinical Medicine Insights: Circulatory, Respiratory and Pulmonary Medicine 2008; 2: CCRPM.S530.
  • Ranta R, Louis-Dorr V, Heinrich C, Wolf D, Guillemin F. Principal component analysis and interpretation of bowel sounds. In Proceedings of the 26th Annual International Conference of the IEEE EMBS, 2004.
  • Selek MB, Yesilkaya B, Egeli SS, Isler Y. The effect of principal component analysis in the diagnosis of congestive heart failure via heart rate variability analysis. Proceedings of the IMechE Part H: Journal of Engineering in Medicine 2021; 235(12): 1479-1488.
  • Ozbek S, Gezgin E, Yazıcı MV. Design of soft fingers for a surgical robotic hand with hybrid structure. Journal of Intelligent Systems with Applications 2021; 4(1): 38-41.
  • Selek MB, Duyar MC, Isler Y. Electronic stethoscope design. Journal of Intelligent Systems with Applications 2020; 3(1): 10-16.
  • Malik B, Eya N, Migdadi H, Ngala MJ, Abd-Alhameed RA, Noras JM. Design and development of an electronic stethoscope. In 2017 Internet Technologies and Applications (ITA), 2017, pp. 324-328.
  • Altan G, Kutlu Y, Pekmezci AO, Nural S. The diagnosis of asthma using Hilbert-Huang transform and deep learning on lung sounds. Journal of Intelligent Systems with Applications 2019; 2(2): 100-105.
  • Kadam Patil DD, Shastri RK. Design of wireless electronic stethoscope based on Zigbee. International Journal of Distributed and Parallel Systems (IJDPS) 2012; 3(1): 351-359.
  • Jatupaiboon N, Pan-ngum S, Israsena P. Electronic stethoscope prototype with adaptive noise cancellation. In 2010 Eighth International Conference on ICT and Knowledge Engineering, 2010, pp. 32-36.
  • Hadiyoso S, Mardiyah D, Ramadan D, Ibrahim A. Implementation of electronic stethoscope for online remote monitoring with mobile application. Bulletin of Electrical Engineering and Informatics 2020; 9(4): 1595-1603.