TY - JOUR
T1 - Morphic Sensors for Respiratory Parameters Estimation
T2 - Validation against Overnight Polysomnography
AU - Naik, Ganesh R.
AU - Breen, Paul P.
AU - Jayarathna, Titus
AU - Tong, Benjamin K.
AU - Eckert, Danny J.
AU - Gargiulo, Gaetano D.
PY - 2023/7
Y1 - 2023/7
N2 - Effective monitoring of respiratory disturbances during sleep requires a sensor capable of accurately capturing chest movements or airflow displacement. Gold-standard monitoring of sleep and breathing through polysomnography achieves this task through dedicated chest/abdomen bands, thermistors, and nasal flow sensors, and more detailed physiology, evaluations via a nasal mask, pneumotachograph, and airway pressure sensors. However, these measurement approaches can be invasive and time-consuming to perform and analyze. This work compares the performance of a non-invasive wearable stretchable morphic sensor, which does not require direct skin contact, embedded in a t-shirt worn by 32 volunteer participants (26 males, 6 females) with sleep-disordered breathing who performed a detailed, overnight in-laboratory sleep study. Direct comparison of computed respiratory parameters from morphic sensors versus traditional polysomnography had approximately 95% (95 ± 0.7) accuracy. These findings confirm that novel wearable morphic sensors provide a viable alternative to non-invasively and simultaneously capture respiratory rate and chest and abdominal motions.
AB - Effective monitoring of respiratory disturbances during sleep requires a sensor capable of accurately capturing chest movements or airflow displacement. Gold-standard monitoring of sleep and breathing through polysomnography achieves this task through dedicated chest/abdomen bands, thermistors, and nasal flow sensors, and more detailed physiology, evaluations via a nasal mask, pneumotachograph, and airway pressure sensors. However, these measurement approaches can be invasive and time-consuming to perform and analyze. This work compares the performance of a non-invasive wearable stretchable morphic sensor, which does not require direct skin contact, embedded in a t-shirt worn by 32 volunteer participants (26 males, 6 females) with sleep-disordered breathing who performed a detailed, overnight in-laboratory sleep study. Direct comparison of computed respiratory parameters from morphic sensors versus traditional polysomnography had approximately 95% (95 ± 0.7) accuracy. These findings confirm that novel wearable morphic sensors provide a viable alternative to non-invasively and simultaneously capture respiratory rate and chest and abdominal motions.
KW - heart rate
KW - morphic sensor
KW - polysomnography
KW - respiratory rate
KW - wearables
UR - http://www.scopus.com/inward/record.url?scp=85165926999&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/NHMRC/1196261
U2 - 10.3390/bios13070703
DO - 10.3390/bios13070703
M3 - Article
C2 - 37504102
AN - SCOPUS:85165926999
SN - 2079-6374
VL - 13
JO - Biosensors
JF - Biosensors
IS - 7
M1 - 703
ER -