Indoor Navigation Support System for Patients with Neurodegenerative Diseases

Milon Biswas; Ashiqur Rahman; M. Shamim Kaiser; Shamim Al Mamun; K. Shayekh Ebne Mizan; Mohammad Shahidul Islam; Mufti Mahmud

doi:10.1007/978-3-030-86993-9_37

Indoor Navigation Support System for Patients with Neurodegenerative Diseases

Milon Biswas^*, Ashiqur Rahman, M. Shamim Kaiser, Shamim Al Mamun, K. Shayekh Ebne Mizan, Mohammad Shahidul Islam, Mufti Mahmud

^*Corresponding author for this work

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

44 Scopus citations

Abstract

A handheld device (such as a smartphone/wearable) can be used for tracking and delivering navigation within a building using a wireless interface (such as WiFi or Bluetooth Low Energy), in situations when a traditional navigation system (such as a global positioning system) is unable to function effectively. In this paper, we present an indoor navigation system based on a combination of wall-mounted wireless sensors, a mobile health application (mHealth app), and WiFi/Bluetooth beacons. Such a system can be used to track and trace people with neurological disorders, such as Alzheimer’s disease (AD) patients, throughout the hospital complex. The Contact tracing is accomplished by using Bluetooth low-energy beacons to detect and monitor the possibilities of those who have been exposed to communicable diseases such as COVID-19. The communication flow between the mHealth app and the cloud-based framework is explained elaborately in the paper. The system provides a real-time remote monitoring system for primary medical care in cases where relatives of Alzheimer’s patients and doctors are having complications that may demand medical care or hospitalization. The proposed indoor navigation system has been found to be useful in assisting patients with Alzheimer’s disease (AD) while in the hospital building.

Original language	English
Title of host publication	Brain Informatics - 14th International Conference, BI 2021, Proceedings
Editors	Mufti Mahmud, M Shamim Kaiser, Stefano Vassanelli, Qionghai Dai, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	411-422
Number of pages	12
ISBN (Print)	9783030869922
DOIs	https://doi.org/10.1007/978-3-030-86993-9_37
State	Published - 2021
Externally published	Yes
Event	14th International Conference on Brain Informatics, BI 2021 - Virtual, Online Duration: 17 Sep 2021 → 19 Sep 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12960 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Brain Informatics, BI 2021
City	Virtual, Online
Period	17/09/21 → 19/09/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Alzheimer’s disease
Bluetooth beacon
IoT
Sensor
Smart care

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-86993-9_37

Cite this

Biswas, M., Rahman, A., Kaiser, M. S., Al Mamun, S., Ebne Mizan, K. S., Islam, M. S., & Mahmud, M. (2021). Indoor Navigation Support System for Patients with Neurodegenerative Diseases. In M. Mahmud, M. S. Kaiser, S. Vassanelli, Q. Dai, & N. Zhong (Eds.), Brain Informatics - 14th International Conference, BI 2021, Proceedings (pp. 411-422). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12960 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86993-9_37

Biswas, Milon ; Rahman, Ashiqur ; Kaiser, M. Shamim et al. / Indoor Navigation Support System for Patients with Neurodegenerative Diseases. Brain Informatics - 14th International Conference, BI 2021, Proceedings. editor / Mufti Mahmud ; M Shamim Kaiser ; Stefano Vassanelli ; Qionghai Dai ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2021. pp. 411-422 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1b010b78cb474d1382f4449264f496d6,

title = "Indoor Navigation Support System for Patients with Neurodegenerative Diseases",

abstract = "A handheld device (such as a smartphone/wearable) can be used for tracking and delivering navigation within a building using a wireless interface (such as WiFi or Bluetooth Low Energy), in situations when a traditional navigation system (such as a global positioning system) is unable to function effectively. In this paper, we present an indoor navigation system based on a combination of wall-mounted wireless sensors, a mobile health application (mHealth app), and WiFi/Bluetooth beacons. Such a system can be used to track and trace people with neurological disorders, such as Alzheimer{\textquoteright}s disease (AD) patients, throughout the hospital complex. The Contact tracing is accomplished by using Bluetooth low-energy beacons to detect and monitor the possibilities of those who have been exposed to communicable diseases such as COVID-19. The communication flow between the mHealth app and the cloud-based framework is explained elaborately in the paper. The system provides a real-time remote monitoring system for primary medical care in cases where relatives of Alzheimer{\textquoteright}s patients and doctors are having complications that may demand medical care or hospitalization. The proposed indoor navigation system has been found to be useful in assisting patients with Alzheimer{\textquoteright}s disease (AD) while in the hospital building.",

keywords = "Alzheimer{\textquoteright}s disease, Bluetooth beacon, IoT, Sensor, Smart care",

author = "Milon Biswas and Ashiqur Rahman and Kaiser, \{M. Shamim\} and \{Al Mamun\}, Shamim and \{Ebne Mizan\}, \{K. Shayekh\} and Islam, \{Mohammad Shahidul\} and Mufti Mahmud",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 14th International Conference on Brain Informatics, BI 2021 ; Conference date: 17-09-2021 Through 19-09-2021",

year = "2021",

doi = "10.1007/978-3-030-86993-9\_37",

language = "English",

isbn = "9783030869922",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "411--422",

editor = "Mufti Mahmud and Kaiser, \{M Shamim\} and Stefano Vassanelli and Qionghai Dai and Ning Zhong",

booktitle = "Brain Informatics - 14th International Conference, BI 2021, Proceedings",

address = "Germany",

}

Biswas, M, Rahman, A, Kaiser, MS, Al Mamun, S, Ebne Mizan, KS, Islam, MS & Mahmud, M 2021, Indoor Navigation Support System for Patients with Neurodegenerative Diseases. in M Mahmud, MS Kaiser, S Vassanelli, Q Dai & N Zhong (eds), Brain Informatics - 14th International Conference, BI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12960 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 411-422, 14th International Conference on Brain Informatics, BI 2021, Virtual, Online, 17/09/21. https://doi.org/10.1007/978-3-030-86993-9_37

Indoor Navigation Support System for Patients with Neurodegenerative Diseases. / Biswas, Milon; Rahman, Ashiqur; Kaiser, M. Shamim et al.
Brain Informatics - 14th International Conference, BI 2021, Proceedings. ed. / Mufti Mahmud; M Shamim Kaiser; Stefano Vassanelli; Qionghai Dai; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2021. p. 411-422 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12960 LNAI).

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

TY - GEN

T1 - Indoor Navigation Support System for Patients with Neurodegenerative Diseases

AU - Biswas, Milon

AU - Rahman, Ashiqur

AU - Kaiser, M. Shamim

AU - Al Mamun, Shamim

AU - Ebne Mizan, K. Shayekh

AU - Islam, Mohammad Shahidul

AU - Mahmud, Mufti

PY - 2021

Y1 - 2021

N2 - A handheld device (such as a smartphone/wearable) can be used for tracking and delivering navigation within a building using a wireless interface (such as WiFi or Bluetooth Low Energy), in situations when a traditional navigation system (such as a global positioning system) is unable to function effectively. In this paper, we present an indoor navigation system based on a combination of wall-mounted wireless sensors, a mobile health application (mHealth app), and WiFi/Bluetooth beacons. Such a system can be used to track and trace people with neurological disorders, such as Alzheimer’s disease (AD) patients, throughout the hospital complex. The Contact tracing is accomplished by using Bluetooth low-energy beacons to detect and monitor the possibilities of those who have been exposed to communicable diseases such as COVID-19. The communication flow between the mHealth app and the cloud-based framework is explained elaborately in the paper. The system provides a real-time remote monitoring system for primary medical care in cases where relatives of Alzheimer’s patients and doctors are having complications that may demand medical care or hospitalization. The proposed indoor navigation system has been found to be useful in assisting patients with Alzheimer’s disease (AD) while in the hospital building.

AB - A handheld device (such as a smartphone/wearable) can be used for tracking and delivering navigation within a building using a wireless interface (such as WiFi or Bluetooth Low Energy), in situations when a traditional navigation system (such as a global positioning system) is unable to function effectively. In this paper, we present an indoor navigation system based on a combination of wall-mounted wireless sensors, a mobile health application (mHealth app), and WiFi/Bluetooth beacons. Such a system can be used to track and trace people with neurological disorders, such as Alzheimer’s disease (AD) patients, throughout the hospital complex. The Contact tracing is accomplished by using Bluetooth low-energy beacons to detect and monitor the possibilities of those who have been exposed to communicable diseases such as COVID-19. The communication flow between the mHealth app and the cloud-based framework is explained elaborately in the paper. The system provides a real-time remote monitoring system for primary medical care in cases where relatives of Alzheimer’s patients and doctors are having complications that may demand medical care or hospitalization. The proposed indoor navigation system has been found to be useful in assisting patients with Alzheimer’s disease (AD) while in the hospital building.

KW - Alzheimer’s disease

KW - Bluetooth beacon

KW - IoT

KW - Sensor

KW - Smart care

UR - https://www.scopus.com/pages/publications/85115879600

U2 - 10.1007/978-3-030-86993-9_37

DO - 10.1007/978-3-030-86993-9_37

M3 - Conference contribution

AN - SCOPUS:85115879600

SN - 9783030869922

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

SP - 411

EP - 422

BT - Brain Informatics - 14th International Conference, BI 2021, Proceedings

A2 - Mahmud, Mufti

A2 - Kaiser, M Shamim

A2 - Vassanelli, Stefano

A2 - Dai, Qionghai

A2 - Zhong, Ning

PB - Springer Science and Business Media Deutschland GmbH

T2 - 14th International Conference on Brain Informatics, BI 2021

Y2 - 17 September 2021 through 19 September 2021

ER -

Biswas M, Rahman A, Kaiser MS, Al Mamun S, Ebne Mizan KS, Islam MS et al. Indoor Navigation Support System for Patients with Neurodegenerative Diseases. In Mahmud M, Kaiser MS, Vassanelli S, Dai Q, Zhong N, editors, Brain Informatics - 14th International Conference, BI 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 411-422. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-86993-9_37

Indoor Navigation Support System for Patients with Neurodegenerative Diseases

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this