Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19

Sabrina Jesmin; M. Shamim Kaiser; Mufti Mahmud

doi:10.1007/978-3-030-59277-6_24

Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19

Sabrina Jesmin
, M. Shamim Kaiser^*
, Mufti Mahmud

^*Corresponding author for this work

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

49 Scopus citations

Abstract

Alzheimer patient’s routine care at the onset of a catastrophe like coronavirus disease 2019 (COVID-19) pandemic is interrupted as healthcare is providing special attention to the patient having severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) or COVID-19 infection. In order to decrease the spread of the disease, government has shut down regular services at the hospital, and advised all vulnerable people to stay at home and maintain social distance (of 3 fts) which hampered the routine care and rehabilitation therapy of elderly patient having a chronic disease like Alzheimer. On the other hand, the artificial intelligence (AI)-based internet of healthcare things allows clinicians to monitor physiological conditions of patients in real-time and machine learning models can able to detect any anomaly in the patient’s condition. Besides, the advancement in Information and Communication Technology enable us to provide special distance care (such as medication and therapy) by dedicated medical teams or special therapists. This paper discusses the effect of COVID-19 on patient care of Alzheimer’s Disease (AD) and how AI-based IoT can help special care of AD patients at home. Finally, we have outlined some recommendations for Family and Caregiver, Volunteer and Social Care which will help to develop the Government policy.

Original language	English
Title of host publication	Brain Informatics - 13th International Conference, BI 2020, Proceedings
Editors	Mufti Mahmud, Stefano Vassanelli, M. Shamim Kaiser, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	263-274
Number of pages	12
ISBN (Print)	9783030592769
DOIs	https://doi.org/10.1007/978-3-030-59277-6_24
State	Published - 2020
Externally published	Yes
Event	13th International Conference on Brain Informatics, BI 2020 - Padua, Italy Duration: 19 Sep 2020 → 19 Sep 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12241 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Brain Informatics, BI 2020
Country/Territory	Italy
City	Padua
Period	19/09/20 → 19/09/20

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

IoT
Machine learning
Pandemic
Patient management
SARS-COV-2

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-59277-6_24

Cite this

Jesmin, S., Kaiser, M. S., & Mahmud, M. (2020). Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19. In M. Mahmud, S. Vassanelli, M. S. Kaiser, & N. Zhong (Eds.), Brain Informatics - 13th International Conference, BI 2020, Proceedings (pp. 263-274). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12241 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59277-6_24

Jesmin, Sabrina ; Kaiser, M. Shamim ; Mahmud, Mufti. / Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19. Brain Informatics - 13th International Conference, BI 2020, Proceedings. editor / Mufti Mahmud ; Stefano Vassanelli ; M. Shamim Kaiser ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2020. pp. 263-274 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a4ac0a1045c441e781aee1aa75495c88,

title = "Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19",

abstract = "Alzheimer patient{\textquoteright}s routine care at the onset of a catastrophe like coronavirus disease 2019 (COVID-19) pandemic is interrupted as healthcare is providing special attention to the patient having severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) or COVID-19 infection. In order to decrease the spread of the disease, government has shut down regular services at the hospital, and advised all vulnerable people to stay at home and maintain social distance (of 3 fts) which hampered the routine care and rehabilitation therapy of elderly patient having a chronic disease like Alzheimer. On the other hand, the artificial intelligence (AI)-based internet of healthcare things allows clinicians to monitor physiological conditions of patients in real-time and machine learning models can able to detect any anomaly in the patient{\textquoteright}s condition. Besides, the advancement in Information and Communication Technology enable us to provide special distance care (such as medication and therapy) by dedicated medical teams or special therapists. This paper discusses the effect of COVID-19 on patient care of Alzheimer{\textquoteright}s Disease (AD) and how AI-based IoT can help special care of AD patients at home. Finally, we have outlined some recommendations for Family and Caregiver, Volunteer and Social Care which will help to develop the Government policy.",

keywords = "IoT, Machine learning, Pandemic, Patient management, SARS-COV-2",

author = "Sabrina Jesmin and Kaiser, \{M. Shamim\} and Mufti Mahmud",

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year = "2020",

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Jesmin, S, Kaiser, MS & Mahmud, M 2020, Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19. in M Mahmud, S Vassanelli, MS Kaiser & N Zhong (eds), Brain Informatics - 13th International Conference, BI 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12241 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 263-274, 13th International Conference on Brain Informatics, BI 2020, Padua, Italy, 19/09/20. https://doi.org/10.1007/978-3-030-59277-6_24

Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19. / Jesmin, Sabrina; Kaiser, M. Shamim; Mahmud, Mufti.
Brain Informatics - 13th International Conference, BI 2020, Proceedings. ed. / Mufti Mahmud; Stefano Vassanelli; M. Shamim Kaiser; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2020. p. 263-274 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12241 LNAI).

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

TY - GEN

T1 - Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19

AU - Jesmin, Sabrina

AU - Kaiser, M. Shamim

AU - Mahmud, Mufti

PY - 2020

Y1 - 2020

N2 - Alzheimer patient’s routine care at the onset of a catastrophe like coronavirus disease 2019 (COVID-19) pandemic is interrupted as healthcare is providing special attention to the patient having severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) or COVID-19 infection. In order to decrease the spread of the disease, government has shut down regular services at the hospital, and advised all vulnerable people to stay at home and maintain social distance (of 3 fts) which hampered the routine care and rehabilitation therapy of elderly patient having a chronic disease like Alzheimer. On the other hand, the artificial intelligence (AI)-based internet of healthcare things allows clinicians to monitor physiological conditions of patients in real-time and machine learning models can able to detect any anomaly in the patient’s condition. Besides, the advancement in Information and Communication Technology enable us to provide special distance care (such as medication and therapy) by dedicated medical teams or special therapists. This paper discusses the effect of COVID-19 on patient care of Alzheimer’s Disease (AD) and how AI-based IoT can help special care of AD patients at home. Finally, we have outlined some recommendations for Family and Caregiver, Volunteer and Social Care which will help to develop the Government policy.

AB - Alzheimer patient’s routine care at the onset of a catastrophe like coronavirus disease 2019 (COVID-19) pandemic is interrupted as healthcare is providing special attention to the patient having severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) or COVID-19 infection. In order to decrease the spread of the disease, government has shut down regular services at the hospital, and advised all vulnerable people to stay at home and maintain social distance (of 3 fts) which hampered the routine care and rehabilitation therapy of elderly patient having a chronic disease like Alzheimer. On the other hand, the artificial intelligence (AI)-based internet of healthcare things allows clinicians to monitor physiological conditions of patients in real-time and machine learning models can able to detect any anomaly in the patient’s condition. Besides, the advancement in Information and Communication Technology enable us to provide special distance care (such as medication and therapy) by dedicated medical teams or special therapists. This paper discusses the effect of COVID-19 on patient care of Alzheimer’s Disease (AD) and how AI-based IoT can help special care of AD patients at home. Finally, we have outlined some recommendations for Family and Caregiver, Volunteer and Social Care which will help to develop the Government policy.

KW - IoT

KW - Machine learning

KW - Pandemic

KW - Patient management

KW - SARS-COV-2

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DO - 10.1007/978-3-030-59277-6_24

M3 - Conference contribution

AN - SCOPUS:85092150444

SN - 9783030592769

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

SP - 263

EP - 274

BT - Brain Informatics - 13th International Conference, BI 2020, Proceedings

A2 - Mahmud, Mufti

A2 - Vassanelli, Stefano

A2 - Kaiser, M. Shamim

A2 - Zhong, Ning

PB - Springer Science and Business Media Deutschland GmbH

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ER -

Jesmin S, Kaiser MS, Mahmud M. Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19. In Mahmud M, Vassanelli S, Kaiser MS, Zhong N, editors, Brain Informatics - 13th International Conference, BI 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 263-274. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-59277-6_24

Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this