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Items: 15

1.

Estimating Running Performance Combining Non-invasive Physiological Measurements and Training Patterns in Free-Living.

Altini M, Amft O.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:2845-2848. doi: 10.1109/EMBC.2018.8512924.

PMID:
30440994
2.

Towards Non-invasive Labour Detection: A Free-Living Evaluation.

Altini M, Rossetti E, Rooijakkers MJ, Penders J.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:2841-2844. doi: 10.1109/EMBC.2018.8512964.

PMID:
30440993
3.

Heart Rate Variability is a Moderating Factor in the Workload-Injury Relationship of Competitive CrossFitâ„¢ Athletes.

Williams S, Booton T, Watson M, Rowland D, Altini M.

J Sports Sci Med. 2017 Dec 1;16(4):443-449. eCollection 2017 Dec.

4.

Comparison of Heart-Rate-Variability Recording With Smartphone Photoplethysmography, Polar H7 Chest Strap, and Electrocardiography.

Plews DJ, Scott B, Altini M, Wood M, Kilding AE, Laursen PB.

Int J Sports Physiol Perform. 2017 Nov 1;12(10):1324-1328. doi: 10.1123/ijspp.2016-0668. Epub 2017 Dec 22.

PMID:
28290720
5.

Detection of fetal kicks using body-worn accelerometers during pregnancy: Trade-offs between sensors number and positioning.

Altini M, Mullan P, Rooijakkers M, Gradl S, Penders J, Geusens N, Grieten L, Eskofier B.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5319-5322. doi: 10.1109/EMBC.2016.7591928.

PMID:
28269461
6.

HRV4Training: Large-scale longitudinal training load analysis in unconstrained free-living settings using a smartphone application.

Altini M, Amft O.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2610-2613. doi: 10.1109/EMBC.2016.7591265.

PMID:
28268857
7.

Cardiorespiratory fitness estimation in free-living using wearable sensors.

Altini M, Casale P, Penders J, Amft O.

Artif Intell Med. 2016 Mar;68:37-46. doi: 10.1016/j.artmed.2016.02.002. Epub 2016 Feb 24.

PMID:
26948954
8.

Cardiorespiratory fitness estimation using wearable sensors: Laboratory and free-living analysis of context-specific submaximal heart rates.

Altini M, Casale P, Penders J, Ten Velde G, Plasqui G, Amft O.

J Appl Physiol (1985). 2016 May 1;120(9):1082-96. doi: 10.1152/japplphysiol.00519.2015. Epub 2016 Mar 3.

9.

Personalized cardiorespiratory fitness and energy expenditure estimation using hierarchical Bayesian models.

Altini M, Casale P, Penders J, Amft O.

J Biomed Inform. 2015 Aug;56:195-204. doi: 10.1016/j.jbi.2015.06.008. Epub 2015 Jun 14.

10.

Personalization of Energy Expenditure Estimation in Free Living Using Topic Models.

Altini M, Casale P, Penders JF, Amft O.

IEEE J Biomed Health Inform. 2015 Sep;19(5):1577-86. doi: 10.1109/JBHI.2015.2418256. Epub 2015 Mar 31.

PMID:
25838531
11.

Estimating Oxygen Uptake During Nonsteady-State Activities and Transitions Using Wearable Sensors.

Altini M, Penders J, Amft O.

IEEE J Biomed Health Inform. 2016 Mar;20(2):469-75. doi: 10.1109/JBHI.2015.2390493. Epub 2015 Jan 12.

PMID:
25594986
12.

Personalizing energy expenditure estimation using physiological signals normalization during activities of daily living.

Altini M, Penders J, Vullers R, Amft O.

Physiol Meas. 2014 Sep;35(9):1797-811. doi: 10.1088/0967-3334/35/9/1797. Epub 2014 Aug 13.

PMID:
25120177
13.

Estimating energy expenditure using body-worn accelerometers: a comparison of methods, sensors number and positioning.

Altini M, Penders J, Vullers R, Amft O.

IEEE J Biomed Health Inform. 2015 Jan;19(1):219-26. doi: 10.1109/JBHI.2014.2313039. Epub 2014 Mar 20.

PMID:
24691168
14.

Body weight-normalized Energy Expenditure estimation using combined activity and allometric scaling clustering.

Altini M, Penders J, Amft O.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:6752-5. doi: 10.1109/EMBC.2013.6611106.

PMID:
24111293
15.

A low-power multi-modal body sensor network with application to epileptic seizure monitoring.

Altini M, Del Din S, Patel S, Schachter S, Penders J, Bonato P.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:1806-9. doi: 10.1109/IEMBS.2011.6090515.

PMID:
22254679

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