Biofeedback For The Diagnosis Of Obstructive Sleep Apnea
In Colombia, the high prevalence of obstructive sleep apnea (OSA) represents a significant public health problem. Associated comorbidities, such as cardiovascular disease and cognitive impairment, emphasize the importance of early diagnosis and appropriate treatment. While polysomnography (PSG) is the best standard for diagnosis, its high cost and limitations in terms of comfort have prompted the search for accessible and effective alternatives. In this context, a biofeedback model is proposed as an innovative tool for diagnosing and treating OSA in the Colombian population. This model is compared with existing devices such as the Beddr Sleep Tuner and the Apnealink, evaluating parameters such as durability, efficacy in detecting apnea episodes, and patient comfort. The compact and comfortable design of the biofeedback device makes it a more accessible alternative to the PSG. Preliminary results recommend that this model could be a valuable tool to improve the quality of life of OSA patients in Colombia by facilitating diagnosis and treatment and reducing the impact of associated comorbidities
Authors
- Juan Sebastián Sánchez-Gómez (ORCID: https://orcid.org/0000-0001-5199-7486)
- Francisco Romero (ORCID: https://orcid.org/0000-0001-6235-4435)
- Ana María Romero Arias
Institutions
- Universidad El Bosque (CO)
- Universitat Internacional de Catalunya (ES)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/istas61960.2024.10732411
- Citations
- 1
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.33