Journal article Open Access

Software Design Collection and Handling of Signal Sound Body

Son Nguyen Van; Duc Trinh Quang; Giang Nguyen Hoai; Quynh Nguyen Thi Huong; Khanh Pham Xuan

Citation Style Language JSON Export

  "DOI": "10.35940/ijeat.B2370.129219", 
  "container_title": "International Journal of Engineering and Advanced Technology (IJEAT)", 
  "language": "eng", 
  "title": "Software Design Collection and Handling of  Signal Sound Body", 
  "issued": {
    "date-parts": [
  "abstract": "<p>We demonstrate the designed software that possibly collects the body sound data to be used for clinical diagnosis applications. Body sound signals are collected and processed through a software designed in Labview to adapt with Arduino-Uno. The analog signals transduced from a piezoelectric microphone are converted to the digital signals by an ADC component integrated in the Uno board and controlled the sampling frequency via the software. The collected signals are observed and visualized in graph panel of the software and the audio sound can play through speakers in real-time then stored the measured values as the audio file format simultaneously. The data can use to analyze by another software or study the analyzed algorithm to extract the disease signals. To evaluate the quality of the system, a series of experiments were examined in hospital environment and asserted with clinical experiences of specified medical doctors. To enhance the scope of the disease signal, the spectrum of the signal can be collected ranged on 5 Hz to 35 kHz corresponding to the full spectrum of the hardware system, with the sampling frequency reached to 100 kHz. Based on this initial system, a series of development applying to clinical diagnosis can be potentially opened in the near future.</p>", 
  "author": [
      "family": "Son Nguyen Van"
      "family": "Duc Trinh Quang"
      "family": "Giang Nguyen Hoai"
      "family": "Quynh Nguyen Thi Huong"
      "family": "Khanh Pham Xuan"
  "page": "260-264", 
  "volume": "9", 
  "type": "article-journal", 
  "issue": "2", 
  "id": "5598893"
Views 10
Downloads 12
Data volume 6.6 MB
Unique views 10
Unique downloads 12


Cite as