Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase

Paweł Mielnik; Krzysztof Tokarz; Dariusz Mrozek; Piotr Czekalski; Marcin Fojcik; Anja Myhre Hjelle; Mateusz Milik

doi:10.1007/978-3-030-28374-2_20

Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase

Paweł Mielnik
, Krzysztof Tokarz
, Dariusz Mrozek
, Piotr Czekalski
, Marcin Fojcik
, Anja Myhre Hjelle
, Mateusz Milik

Section for Rheumatology
Western Norway University of Applied Sciences
Silesian University of Technology

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

6 Citations (Scopus)

Abstract

This paper presents the concept of the IoT system for chronic arthritis patients monitoring with the usage of an inexpensive and comfortable wrist-band, avoiding expensive, medical equipment. We based on the raw data from the wristband to collect and analyze patients activity using dedicated, Android-based application to record and temporarily store data also considering its privacy and protection. We present detailed plots and linear regression analysis on circadian measurements on raw acceleration data, heart rate and a number of steps taken by a sample subject, then weekly analysis of the activity based on the aggregated accelerometer activity data. Finally, we present an IoT solution architecture for current and future studies, showing detailed information on the wristband used, including wristband’s protocol analysis over Bluetooth Low Energy, application level communication via MQTT and cloud data storage.

Original language	English
Title of host publication	Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings
Editors	Ngoc Thanh Nguyen, Richard Chbeir, Ernesto Exposito, Philippe Aniorté, Bogdan Trawinski, Ngoc Thanh Nguyen
Publisher	Springer Verlag
Pages	229-238
Number of pages	10
ISBN (Print)	9783030283735
DOIs	https://doi.org/10.1007/978-3-030-28374-2_20
Publication status	Published - 2019
Event	11th International Conference on Computational Collective Intelligence, ICCCI 2019 - Hendaye, France Duration: 4 Sept 2019 → 6 Sept 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11684 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Computational Collective Intelligence, ICCCI 2019
Country/Territory	France
City	Hendaye
Period	4/09/19 → 6/09/19

Keywords

Chronic arthritis
Internet of Things
Patient monitoring
Wristband

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-28374-2_20

Cite this

Mielnik, P., Tokarz, K., Mrozek, D., Czekalski, P., Fojcik, M., Hjelle, A. M., & Milik, M. (2019). Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase. In N. T. Nguyen, R. Chbeir, E. Exposito, P. Aniorté, B. Trawinski, & N. T. Nguyen (Eds.), Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings (pp. 229-238). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11684 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-28374-2_20

Mielnik, Paweł ; Tokarz, Krzysztof ; Mrozek, Dariusz et al. / Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase. Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings. editor / Ngoc Thanh Nguyen ; Richard Chbeir ; Ernesto Exposito ; Philippe Aniorté ; Bogdan Trawinski ; Ngoc Thanh Nguyen. Springer Verlag, 2019. pp. 229-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a6170b1197084c99a684c552a9ba536a,

title = "Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase",

abstract = "This paper presents the concept of the IoT system for chronic arthritis patients monitoring with the usage of an inexpensive and comfortable wrist-band, avoiding expensive, medical equipment. We based on the raw data from the wristband to collect and analyze patients activity using dedicated, Android-based application to record and temporarily store data also considering its privacy and protection. We present detailed plots and linear regression analysis on circadian measurements on raw acceleration data, heart rate and a number of steps taken by a sample subject, then weekly analysis of the activity based on the aggregated accelerometer activity data. Finally, we present an IoT solution architecture for current and future studies, showing detailed information on the wristband used, including wristband{\textquoteright}s protocol analysis over Bluetooth Low Energy, application level communication via MQTT and cloud data storage.",

keywords = "Chronic arthritis, Internet of Things, Patient monitoring, Wristband",

author = "Pawe{\l} Mielnik and Krzysztof Tokarz and Dariusz Mrozek and Piotr Czekalski and Marcin Fojcik and Hjelle, \{Anja Myhre\} and Mateusz Milik",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 11th International Conference on Computational Collective Intelligence, ICCCI 2019 ; Conference date: 04-09-2019 Through 06-09-2019",

year = "2019",

doi = "10.1007/978-3-030-28374-2\_20",

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editor = "Nguyen, \{Ngoc Thanh\} and Richard Chbeir and Ernesto Exposito and Philippe Aniort{\'e} and Bogdan Trawinski and Nguyen, \{Ngoc Thanh\}",

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Mielnik, P, Tokarz, K , Mrozek, D , Czekalski, P, Fojcik, M, Hjelle, AM & Milik, M 2019, Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase. in NT Nguyen, R Chbeir, E Exposito, P Aniorté, B Trawinski & NT Nguyen (eds), Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11684 LNAI, Springer Verlag, pp. 229-238, 11th International Conference on Computational Collective Intelligence, ICCCI 2019, Hendaye, France, 4/09/19. https://doi.org/10.1007/978-3-030-28374-2_20

Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase. / Mielnik, Paweł; Tokarz, Krzysztof ; Mrozek, Dariusz et al.
Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings. ed. / Ngoc Thanh Nguyen; Richard Chbeir; Ernesto Exposito; Philippe Aniorté; Bogdan Trawinski; Ngoc Thanh Nguyen. Springer Verlag, 2019. p. 229-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11684 LNAI).

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

TY - GEN

T1 - Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase

AU - Mielnik, Paweł

AU - Tokarz, Krzysztof

AU - Mrozek, Dariusz

AU - Czekalski, Piotr

AU - Fojcik, Marcin

AU - Hjelle, Anja Myhre

AU - Milik, Mateusz

PY - 2019

Y1 - 2019

N2 - This paper presents the concept of the IoT system for chronic arthritis patients monitoring with the usage of an inexpensive and comfortable wrist-band, avoiding expensive, medical equipment. We based on the raw data from the wristband to collect and analyze patients activity using dedicated, Android-based application to record and temporarily store data also considering its privacy and protection. We present detailed plots and linear regression analysis on circadian measurements on raw acceleration data, heart rate and a number of steps taken by a sample subject, then weekly analysis of the activity based on the aggregated accelerometer activity data. Finally, we present an IoT solution architecture for current and future studies, showing detailed information on the wristband used, including wristband’s protocol analysis over Bluetooth Low Energy, application level communication via MQTT and cloud data storage.

AB - This paper presents the concept of the IoT system for chronic arthritis patients monitoring with the usage of an inexpensive and comfortable wrist-band, avoiding expensive, medical equipment. We based on the raw data from the wristband to collect and analyze patients activity using dedicated, Android-based application to record and temporarily store data also considering its privacy and protection. We present detailed plots and linear regression analysis on circadian measurements on raw acceleration data, heart rate and a number of steps taken by a sample subject, then weekly analysis of the activity based on the aggregated accelerometer activity data. Finally, we present an IoT solution architecture for current and future studies, showing detailed information on the wristband used, including wristband’s protocol analysis over Bluetooth Low Energy, application level communication via MQTT and cloud data storage.

KW - Chronic arthritis

KW - Internet of Things

KW - Patient monitoring

KW - Wristband

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DO - 10.1007/978-3-030-28374-2_20

M3 - Conference contribution

AN - SCOPUS:85072851086

SN - 9783030283735

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 229

EP - 238

BT - Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings

A2 - Nguyen, Ngoc Thanh

A2 - Chbeir, Richard

A2 - Exposito, Ernesto

A2 - Aniorté, Philippe

A2 - Trawinski, Bogdan

A2 - Nguyen, Ngoc Thanh

PB - Springer Verlag

T2 - 11th International Conference on Computational Collective Intelligence, ICCCI 2019

Y2 - 4 September 2019 through 6 September 2019

ER -

Mielnik P, Tokarz K , Mrozek D , Czekalski P, Fojcik M, Hjelle AM et al. Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase. In Nguyen NT, Chbeir R, Exposito E, Aniorté P, Trawinski B, Nguyen NT, editors, Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings. Springer Verlag. 2019. p. 229-238. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-28374-2_20

Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase

Abstract

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Keywords

ASJC Scopus subject areas

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