Predicting energy expenditure from photo-plethysmographic measurements of heart rate under beta blocker therapy: Data driven personalization strategies based on mixed models

Alberto G. Bonomi, Sharon Goldenberg, Gabriele Papini, Jos Kraal, Wim Stut, Francesco Sartor, Hareld Kemps

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

7 Citaten (Scopus)

Samenvatting

Energy expenditure have been often estimated using computational models based on heart rate (HR) and appropriate personalization strategies to account for users cardio-respiratory characteristics. However, medications like beta blockers which are prescribed to treat several cardiac conditions have a direct influence on the cardiovascular system and may impact the relationship between HR and energy expenditure during physical activity (AEE). This study proposes to estimate AEE from HR using mixed models (MIX-REG) by introducing a novel method to personalize the prediction equation. We selected as features to represent the individual random effect in the MIX-REG model those subject characteristics which minimized both estimation error (RMSE) and between-subjects error bias variability. Data from 17 patients post-myocardial infarction were collected during a laboratory protocol. AEE was measured using indirect calorimetry and HR using an innovative wrist worn activity monitor equipped with the Philips Cardio and Motion Monitoring Module (CM3-Generation-1), which is an integrated module including a photo-plethysmographic and accelerometer sensor. The presented method showed large AEE estimation accuracy (RMSE = 1.35 kcal/min) which was comparable to that of models personalized using data from laboratory calibration protocols (HR-FLEX) and was superior to multi-linear regression and MIX-REG models trained using a stepwise features selection procedure.

Originele taal-2Engels
Titel2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's7642-7646
Aantal pagina's5
ISBN van elektronische versie9781424492718
DOI's
StatusGepubliceerd - 4 nov 2015
Extern gepubliceerdJa
Evenement37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015) - "MiCo" , Milan, Italië
Duur: 25 aug 201529 aug 2015
Congresnummer: 37
https://www.embs.org/events/37th-annual-international-conference-of-the-ieee-engineering-in-medicine-and-biology-society/
http://embc.embs.org/2015/

Congres

Congres37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)
Verkorte titelEMBC 2015
Land/RegioItalië
StadMilan
Periode25/08/1529/08/15
Ander37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Internet adres

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