Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults

Alan Kevin Bourke; Fabien Masse; Arash Arami; Kamiar Aminian; Micheal Healy; John Nelson; Catriona Odwyer; Susan Coote

doi:10.1109/BSN.Workshops.2014.18

Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults

Alan Kevin Bourke, Fabien Masse, Arash Arami, Kamiar Aminian, Micheal Healy, John Nelson, Catriona Odwyer, Susan Coote

Department of Electronics & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Accurate estimation of Energy Expenditure (EE) in ambulatory settings provides greater insight into the underlying relation between different human physical activity and health. This paper describes the development and validation of energy expenditure estimation algorithms. A total of 4 healthy subjects and 3 suffering from multiple sclerosis were monitored using a gold-standard energy expenditure measurement system, a heart rate monitor and accelerometry. We demonstrated that greater improvements can be achieved by estimating energy expenditure during normal activities of daily living by combining both whole body acceleration estimates, vertical body acceleration estimates, body posture and heart rate data as part of a flex heart rate algorithm in subject specific models when compared to using accelerometry or heart rate data alone. This will allow more accurate EE estimation during normal activities of daily living.

Original language	English
Title of host publication	Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781479949328
DOIs	https://doi.org/10.1109/BSN.Workshops.2014.18
Publication status	Published - 1 Dec 2014
Event	11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014 - Zurich, Switzerland Duration: 16 Jun 2014 → 19 Jun 2014

Publication series

Name	Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014

Conference

Conference	11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014
Country/Territory	Switzerland
City	Zurich
Period	16/06/14 → 19/06/14

Keywords

accelerometer
ADL
elderly
Energy expenditure
heart rate
multiple sclerosis

Access to Document

10.1109/BSN.Workshops.2014.18

Cite this

Bourke, A. K., Masse, F., Arami, A., Aminian, K., Healy, M., Nelson, J., Odwyer, C., & Coote, S. (2014). Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults. In Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014 (pp. 1-5). Article 6970617 (Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BSN.Workshops.2014.18

Bourke, Alan Kevin ; Masse, Fabien ; Arami, Arash et al. / Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults. Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1-5 (Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014).

@inproceedings{8bb946ea1c024937b255fa8e82554240,

title = "Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults",

abstract = "Accurate estimation of Energy Expenditure (EE) in ambulatory settings provides greater insight into the underlying relation between different human physical activity and health. This paper describes the development and validation of energy expenditure estimation algorithms. A total of 4 healthy subjects and 3 suffering from multiple sclerosis were monitored using a gold-standard energy expenditure measurement system, a heart rate monitor and accelerometry. We demonstrated that greater improvements can be achieved by estimating energy expenditure during normal activities of daily living by combining both whole body acceleration estimates, vertical body acceleration estimates, body posture and heart rate data as part of a flex heart rate algorithm in subject specific models when compared to using accelerometry or heart rate data alone. This will allow more accurate EE estimation during normal activities of daily living.",

keywords = "accelerometer, ADL, elderly, Energy expenditure, heart rate, multiple sclerosis",

author = "Bourke, {Alan Kevin} and Fabien Masse and Arash Arami and Kamiar Aminian and Micheal Healy and John Nelson and Catriona Odwyer and Susan Coote",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014 ; Conference date: 16-06-2014 Through 19-06-2014",

year = "2014",

month = dec,

day = "1",

doi = "10.1109/BSN.Workshops.2014.18",

language = "English",

series = "Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--5",

booktitle = "Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014",

}

Bourke, AK, Masse, F, Arami, A, Aminian, K, Healy, M, Nelson, J, Odwyer, C & Coote, S 2014, Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults. in Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014., 6970617, Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014, Zurich, Switzerland, 16/06/14. https://doi.org/10.1109/BSN.Workshops.2014.18

Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults. / Bourke, Alan Kevin; Masse, Fabien; Arami, Arash et al.
Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1-5 6970617 (Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults

AU - Bourke, Alan Kevin

AU - Masse, Fabien

AU - Arami, Arash

AU - Aminian, Kamiar

AU - Healy, Micheal

AU - Nelson, John

AU - Odwyer, Catriona

AU - Coote, Susan

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Accurate estimation of Energy Expenditure (EE) in ambulatory settings provides greater insight into the underlying relation between different human physical activity and health. This paper describes the development and validation of energy expenditure estimation algorithms. A total of 4 healthy subjects and 3 suffering from multiple sclerosis were monitored using a gold-standard energy expenditure measurement system, a heart rate monitor and accelerometry. We demonstrated that greater improvements can be achieved by estimating energy expenditure during normal activities of daily living by combining both whole body acceleration estimates, vertical body acceleration estimates, body posture and heart rate data as part of a flex heart rate algorithm in subject specific models when compared to using accelerometry or heart rate data alone. This will allow more accurate EE estimation during normal activities of daily living.

AB - Accurate estimation of Energy Expenditure (EE) in ambulatory settings provides greater insight into the underlying relation between different human physical activity and health. This paper describes the development and validation of energy expenditure estimation algorithms. A total of 4 healthy subjects and 3 suffering from multiple sclerosis were monitored using a gold-standard energy expenditure measurement system, a heart rate monitor and accelerometry. We demonstrated that greater improvements can be achieved by estimating energy expenditure during normal activities of daily living by combining both whole body acceleration estimates, vertical body acceleration estimates, body posture and heart rate data as part of a flex heart rate algorithm in subject specific models when compared to using accelerometry or heart rate data alone. This will allow more accurate EE estimation during normal activities of daily living.

KW - accelerometer

KW - ADL

KW - elderly

KW - Energy expenditure

KW - heart rate

KW - multiple sclerosis

UR - http://www.scopus.com/inward/record.url?scp=84919452287&partnerID=8YFLogxK

U2 - 10.1109/BSN.Workshops.2014.18

DO - 10.1109/BSN.Workshops.2014.18

M3 - Conference contribution

AN - SCOPUS:84919452287

T3 - Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014

SP - 1

EP - 5

BT - Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014

Y2 - 16 June 2014 through 19 June 2014

ER -

Bourke AK, Masse F, Arami A, Aminian K, Healy M, Nelson J et al. Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults. In Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1-5. 6970617. (Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops, BSN Workshops 2014). doi: 10.1109/BSN.Workshops.2014.18

Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this