Abstract
Long-term recordings of movement in preterm infants might reveal important clinical information. However, measurement of movement is limited because of time-consuming and subjective analysis of video or reluctance to attach additional sensors to the infant. We evaluated whether photoplethysmogram (PPG), routinely used for oximetry in preterm infants in the neonatal intensive care unit (NICU), can provide reliable long-term measurements of movement. In 18 infants [mean post-conceptional age (PCA) 31.10 weeks, range 29–34.29 weeks], we designed and tested a wavelet-based algorithm that detects movement signals from the PPG. The algorithm’s performance was optimized relative to subjective assessments of movement using video and accelerometers attached to two limbs and force sensors embedded within the mattress (five infants, three raters). We then applied the optimized algorithm to infants receiving routine care in the NICU without additional sensors. The algorithm revealed a decline in brief movements (< 5 s) with increasing PCA (13 infants, r = − 0.87, p < 0.001, PCA range 27.3–33.9 weeks). Our findings suggest that quantitative relationships between motor activity and clinical outcomes in preterm infants can be studied using routine photoplethysmography.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 646-658 |
| Number of pages | 13 |
| Journal | Annals of Biomedical Engineering |
| Volume | 47 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 15 2019 |
Fingerprint
Keywords
- Continuous wavelet transform
- Motor development
- Movement detection
- Photoplethysmography
- Preterm movement
ASJC Scopus subject areas
- Biomedical Engineering
Cite this
Quantifying Movement in Preterm Infants Using Photoplethysmography. / Zuzarte, Ian; Indic, Premananda; Sternad, Dagmar; Paydarfar, David.
In: Annals of Biomedical Engineering, Vol. 47, No. 2, 15.02.2019, p. 646-658.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Quantifying Movement in Preterm Infants Using Photoplethysmography
AU - Zuzarte, Ian
AU - Indic, Premananda
AU - Sternad, Dagmar
AU - Paydarfar, David
PY - 2019/2/15
Y1 - 2019/2/15
N2 - Long-term recordings of movement in preterm infants might reveal important clinical information. However, measurement of movement is limited because of time-consuming and subjective analysis of video or reluctance to attach additional sensors to the infant. We evaluated whether photoplethysmogram (PPG), routinely used for oximetry in preterm infants in the neonatal intensive care unit (NICU), can provide reliable long-term measurements of movement. In 18 infants [mean post-conceptional age (PCA) 31.10 weeks, range 29–34.29 weeks], we designed and tested a wavelet-based algorithm that detects movement signals from the PPG. The algorithm’s performance was optimized relative to subjective assessments of movement using video and accelerometers attached to two limbs and force sensors embedded within the mattress (five infants, three raters). We then applied the optimized algorithm to infants receiving routine care in the NICU without additional sensors. The algorithm revealed a decline in brief movements (< 5 s) with increasing PCA (13 infants, r = − 0.87, p < 0.001, PCA range 27.3–33.9 weeks). Our findings suggest that quantitative relationships between motor activity and clinical outcomes in preterm infants can be studied using routine photoplethysmography.
AB - Long-term recordings of movement in preterm infants might reveal important clinical information. However, measurement of movement is limited because of time-consuming and subjective analysis of video or reluctance to attach additional sensors to the infant. We evaluated whether photoplethysmogram (PPG), routinely used for oximetry in preterm infants in the neonatal intensive care unit (NICU), can provide reliable long-term measurements of movement. In 18 infants [mean post-conceptional age (PCA) 31.10 weeks, range 29–34.29 weeks], we designed and tested a wavelet-based algorithm that detects movement signals from the PPG. The algorithm’s performance was optimized relative to subjective assessments of movement using video and accelerometers attached to two limbs and force sensors embedded within the mattress (five infants, three raters). We then applied the optimized algorithm to infants receiving routine care in the NICU without additional sensors. The algorithm revealed a decline in brief movements (< 5 s) with increasing PCA (13 infants, r = − 0.87, p < 0.001, PCA range 27.3–33.9 weeks). Our findings suggest that quantitative relationships between motor activity and clinical outcomes in preterm infants can be studied using routine photoplethysmography.
KW - Continuous wavelet transform
KW - Motor development
KW - Movement detection
KW - Photoplethysmography
KW - Preterm movement
UR - http://www.scopus.com/inward/record.url?scp=85053882628&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053882628&partnerID=8YFLogxK
U2 - 10.1007/s10439-018-02135-7
DO - 10.1007/s10439-018-02135-7
M3 - Article
C2 - 30255214
AN - SCOPUS:85053882628
VL - 47
SP - 646
EP - 658
JO - Annals of Biomedical Engineering
JF - Annals of Biomedical Engineering
SN - 0090-6964
IS - 2
ER -