Imperial College London

Dr Renard Xaviero Adhi Pramono

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Associate
 
 
 
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Contact

 

renard.pramono14 Website

 
 
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Location

 

907Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sanchez:2024:10.3390/jcm13020571,
author = {Sanchez, Gomez J and Pramono, RXA and Imtiaz, SA and Rodriguez, Villegas E and Valido, Morales A},
doi = {10.3390/jcm13020571},
journal = {Journal of Clinical Medicine},
title = {Validation of a wearable medical device for automatic diagnosis of OSA against standard PSG},
url = {http://dx.doi.org/10.3390/jcm13020571},
volume = {13},
year = {2024}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Study objective: The objective of this study was to assess the accuracy of automatic diagnosis of obstructive sleep apnea (OSA) with a new, small, acoustic-based, wearable technology (AcuPebble SA100), by comparing it with standard type 1 polysomnography (PSG) diagnosis. Material and methods: This observational, prospective study was carried out in a Spanish hospital sleep apnea center. Consecutive subjects who had been referred to the hospital following primary care suspicion of OSA were recruited and underwent in-laboratory attended PSG, together with the AcuPebble SA100 device simultaneously overnight from January to December 2022. Results: A total of 80 patients were recruited for the trial. The patients had a median Epworth scoring of 10, a mean of 10.4, and a range of 0–24. The mean AHI obtained with PSG plus sleep clinician marking was 23.2, median 14.3 and range 0–108. The study demonstrated a diagnostic accuracy (based on AHI) of 95.24%, sensitivity of 92.86%, specificity of 97.14%, positive predictive value of 96.30%, negative predictive value of 94.44%, positive likelihood ratio of 32.50 and negative likelihood ratio of 0.07. Conclusions: The AcuPebble SA100 (EU) device has demonstrated an accurate automated diagnosis of OSA in patients undergoing in-clinic sleep testing when compared against the gold-standard reference of in-clinic PSG.
AU - Sanchez,Gomez J
AU - Pramono,RXA
AU - Imtiaz,SA
AU - Rodriguez,Villegas E
AU - Valido,Morales A
DO - 10.3390/jcm13020571
PY - 2024///
SN - 2077-0383
TI - Validation of a wearable medical device for automatic diagnosis of OSA against standard PSG
T2 - Journal of Clinical Medicine
UR - http://dx.doi.org/10.3390/jcm13020571
UR - http://hdl.handle.net/10044/1/109422
VL - 13
ER -