research-article

Analysis of gait in patients with normal pressure hydrocephalus

Authors:

Anup Shrinivasan,

Maïté Brandt-Pearce,

John LachAuthors Info & Claims

mHealthSys '11: Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare

Article No.: 3, Pages 1 - 6

https://doi.org/10.1145/2064942.2064947

Published: 01 November 2011 Publication History

Abstract

Assessment of gait and posture as symptoms has been the primary concern in the diagnosis and treatment of normal pressure hydrocephalus (NPH), a disease in which there is excessive accumulation of cerebrospinal fluid (CSF) in the brain. Diagnosis of NPH is usually initiated by a high volume lumbar puncture (HVLP) followed by the evaluation of clinical response to removal of CSF. In this paper, we analyze the gait movement of a patient using inertial body sensor nodes and capture features pre and post HVLP. This method provides a quantitative measure of gait assessment. The features extracted from a patient's gait are found to strongly correlate with the assessment recorded manually by the physician conducting the study.

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Cited By

Kuruvithadam KMenner MTaylor WZeilinger MStieglitz LSchmid Daners M(2021)Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure HydrocephalusSensors10.3390/s2119645121:19(6451)Online publication date: 27-Sep-2021
https://doi.org/10.3390/s21196451
Kim WKim Y(2021)Abnormal Gait Recognition based on Integrated Gait Features in Machine Learning2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC51774.2021.00251(1683-1688)Online publication date: Jul-2021
https://doi.org/10.1109/COMPSAC51774.2021.00251
Renggli DGraf CTachatos NSingh NMeboldt MTaylor WStieglitz LSchmid Daners M(2020)Wearable Inertial Measurement Units for Assessing Gait in Real-World EnvironmentsFrontiers in Physiology10.3389/fphys.2020.0009011Online publication date: 20-Feb-2020
https://doi.org/10.3389/fphys.2020.00090
Show More Cited By

Index Terms

Analysis of gait in patients with normal pressure hydrocephalus
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
  2. Life and medical sciences
    1. Health care information systems

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Published In

cover image ACM Conferences

mHealthSys '11: Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare

November 2011

48 pages

ISBN:9781450306843

DOI:10.1145/2064942

General Chair:
Raghu Ganti
IBM T. J. Watson Research Center
,
Program Chairs:
Santosh Kumar
U. Memphis
,
Kenneth Watkin
UIUC

Copyright © 2011 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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Publication History

Published: 01 November 2011

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SenSys '11

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SenSys '11: The 9th ACM Conference on Embedded Network Sensor Systems

November 1, 2011

Washington, Seattle

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Cited By

Kuruvithadam KMenner MTaylor WZeilinger MStieglitz LSchmid Daners M(2021)Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure HydrocephalusSensors10.3390/s2119645121:19(6451)Online publication date: 27-Sep-2021
https://doi.org/10.3390/s21196451
Kim WKim Y(2021)Abnormal Gait Recognition based on Integrated Gait Features in Machine Learning2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC51774.2021.00251(1683-1688)Online publication date: Jul-2021
https://doi.org/10.1109/COMPSAC51774.2021.00251
Renggli DGraf CTachatos NSingh NMeboldt MTaylor WStieglitz LSchmid Daners M(2020)Wearable Inertial Measurement Units for Assessing Gait in Real-World EnvironmentsFrontiers in Physiology10.3389/fphys.2020.0009011Online publication date: 20-Feb-2020
https://doi.org/10.3389/fphys.2020.00090
Chen SBarth ABarth JBennett BBrandt-Pearce MBroshek DFreeman JSamples HLach JKaiser WMcCray R(2012)Aiding diagnosis of normal pressure hydrocephalus with enhanced gait feature separabilityProceedings of the conference on Wireless Health10.1145/2448096.2448099(1-8)Online publication date: 23-Oct-2012
https://dl.acm.org/doi/10.1145/2448096.2448099

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