Name
Abstract | ||
|---|---|---|
Sleep apnoea syndrome (SAS) is a disease consisting in the nocturnal cessation of oronasal airflow at least 10 seconds in duration. The standard method for SAS diagnosis is the polysomnographic exam (PSG). However it does not permit a mass screening because it has high cost and requires long term monitoring.This paper presents a preliminary software system prototype for snoring signal analysis, whose main goal is to support the doctor in SAS diagnosis and patient follow-up. The design of the system is modular to allow a future hardware implementation in a portable device for personal snore collection and monitoring. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.procs.2011.04.117 | PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) |
Keywords | Field | DocType |
snoring signal analysis, sleep apnoea syndrome | Data mining,Simulation,Computer science,Software system,Real-time computing,Sleep apnoea syndrome,Modular design | Journal |
Volume | ISSN | Citations |
4 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barbara Calabrese | 1 | 13 | 4.98 |
| Franco Pucci | 2 | 1 | 0.82 |
| Miriam Sturniolo | 3 | 1 | 0.82 |
| Pietro Hiram Guzzi | 4 | 547 | 65.85 |
| Pierangelo Veltri | 5 | 648 | 82.26 |
| Antonio Gambardella | 6 | 26 | 2.05 |
| Mario Cannataro | 7 | 1095 | 123.23 |