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MARHS: mobility assessment system with remote healthcare functionality for movement disorders

Authors:

Sunghoon Ivan Lee,

Jonathan Woodbridge,

Ani Nahapetian,

Majid SarrafzadehAuthors Info & Claims

IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Pages 333 - 342

https://doi.org/10.1145/2110363.2110402

Published: 28 January 2012 Publication History

Abstract

Due to the global trend of aging societies with increasing demand for low cost and high quality healthcare services, there has been extensive research and development directed toward wireless and remote healthcare technology that considers age-associated ailments. In this paper, we introduce Mobility Assessment and Remote Healthcare System (MARHS) that utilizes a force sensor in order to provide quantitative assessment of the mobility level of patients with movement disorder ailment, which is one common age-associated ailment. The proposed system also enables the remote healthcare services that allow patients to receive diagnoses from clinical experts without his/her presence. MARHS also contains a data analysis unit in order to provide information that summarizes the characteristics of symptoms of a group of patients (e.g., patients with a certain type of ailment) using a combination of feature ranking, feature selection, and classification algorithms. The results of the analyses on the data from a clinical trial show that the examination results of the proposed system can accurately recognize various groups of patients, such as, patients with (i) chronic obstructive pulmonary disease, (ii) hypertension, and (iii) cerebral vascular accident with an average accuracy of 90.05%, 82.60%, and 93.54%, respectively.

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Cited By

Freyvert YYong NMorikawa EZdunowski SSarino MGerasimenko YEdgerton VLu D(2018)Engaging cervical spinal circuitry with non-invasive spinal stimulation and buspirone to restore hand function in chronic motor complete patientsScientific Reports10.1038/s41598-018-33123-58:1Online publication date: 19-Oct-2018
https://doi.org/10.1038/s41598-018-33123-5
Kanrar SMandal P(2017)E-health monitoring system enhancement with Gaussian mixture modelMultimedia Tools and Applications10.1007/s11042-016-3509-976:8(10801-10823)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1007/s11042-016-3509-9
Lu DEdgerton VModaber MAuYong NMorikawa EZdunowski SSarino MSarrafzadeh MNuwer MRoy RGerasimenko Y(2016)Engaging Cervical Spinal Cord Networks to Reenable Volitional Control of Hand Function in Tetraplegic PatientsNeurorehabilitation and Neural Repair10.1177/154596831664434430:10(951-962)Online publication date: 9-Jul-2016
https://doi.org/10.1177/1545968316644344
Show More Cited By

Index Terms

MARHS: mobility assessment system with remote healthcare functionality for movement disorders
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Information systems

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Information

Published In

cover image ACM Conferences

IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

January 2012

914 pages

ISBN:9781450307819

DOI:10.1145/2110363

General Chairs:
Gang Luo
IBM Research, USA
,
Jiming Liu
Hong Kong Baptist University
,
Program Chair:
Christopher C. Yang
Drexel University

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGHIT: ACM Special Interest Group on Health Informatics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 January 2012

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IHI '12: ACM International Health Informatics Symposium

January 28 - 30, 2012

Florida, Miami, USA

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Cited By

Freyvert YYong NMorikawa EZdunowski SSarino MGerasimenko YEdgerton VLu D(2018)Engaging cervical spinal circuitry with non-invasive spinal stimulation and buspirone to restore hand function in chronic motor complete patientsScientific Reports10.1038/s41598-018-33123-58:1Online publication date: 19-Oct-2018
https://doi.org/10.1038/s41598-018-33123-5
Kanrar SMandal P(2017)E-health monitoring system enhancement with Gaussian mixture modelMultimedia Tools and Applications10.1007/s11042-016-3509-976:8(10801-10823)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1007/s11042-016-3509-9
Lu DEdgerton VModaber MAuYong NMorikawa EZdunowski SSarino MSarrafzadeh MNuwer MRoy RGerasimenko Y(2016)Engaging Cervical Spinal Cord Networks to Reenable Volitional Control of Hand Function in Tetraplegic PatientsNeurorehabilitation and Neural Repair10.1177/154596831664434430:10(951-962)Online publication date: 9-Jul-2016
https://doi.org/10.1177/1545968316644344
Najeeb DNahapetian A(2014)2C vision gameProceedings of the 9th International Conference on Body Area Networks10.4108/icst.bodynets.2014.258235(179-185)Online publication date: 29-Sep-2014
https://dl.acm.org/doi/10.4108/icst.bodynets.2014.258235
Lee SGhasemzadeh HMortazavi BLan MAlshurafa NOng MSarrafzadeh MJafari RNilsen W(2013)Remote patient monitoringProceedings of the 4th Conference on Wireless Health10.1145/2534088.2534108(1-8)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1145/2534088.2534108
Lee SGhasemzadeh HMortazavi BYew AGetachew RRazaghy MGhalehsari NPaak BGarst JEspinal MKimball JLu DSarrafzadeh M(2013)Objective assessment of overexcited hand movements using a lightweight sensory device2013 IEEE International Conference on Body Sensor Networks10.1109/BSN.2013.6575498(1-6)Online publication date: May-2013
https://doi.org/10.1109/BSN.2013.6575498

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