Central Sleep Apnea Detection by Means of Finger Photoplethysmography.
Frederik MassieSteven VitsAni KhachatryanBart Van PeeJohan VerbraeckenJeroen H M BergmannPublished in: IEEE journal of translational engineering in health and medicine (2023)
The present study aimed to evaluate a method to detect CSA in SA patients using only PPG data which could be used to flag CSA which in turn may aid in more optimal therapy decision making.
Keyphrases
- sleep apnea
- end stage renal disease
- decision making
- ejection fraction
- chronic kidney disease
- newly diagnosed
- obstructive sleep apnea
- positive airway pressure
- peritoneal dialysis
- electronic health record
- mesenchymal stem cells
- machine learning
- patient reported outcomes
- sensitive detection
- fluorescent probe
- bone marrow
- artificial intelligence
- replacement therapy