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  1. Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare (mHealthSys '11)
  2. Analysis of gait in patients with normal pressure hydrocephalus
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mobileSpiro: accurate mobile spirometry for self-management of asthma
Analysis of gait in patients with normal pressure hydrocephalus
Power-aware action recognition with optimal sensor selection: an AdaBoost driven distributed template matching approach
Real-time joint angle measurement using the Shimmer wireless sensor platform
Planipes: mobile foot pressure analysis
StrokeTrack: wireless inertial motion tracking of human arms for stroke telerehabilitation
PowerSense: power aware dengue diagnosis on mobile phones
Chronic Care Continuum $(C^{3}):$ mobile-ready life skills training for adolescents with chronic diseases
HygeiaTel: an intelligent telemedicine system with cognitive support
A virtual sleep laboratory
Non-invasive and long-term core temperature measurement
Activity-aware heart sensing in mobile healthcare

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Analysis of gait in patients with normal pressure hydrocephalus

Content Provider ACM Digital Library
Author Brandt-Pearce, Maïté Shrinivasan, Anup Lach, John Barth, Adam
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.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450306843
DOI 10.1145/2064942.2064947
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-11-01
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Gait Body sensor nodes Feature extraction Normal pressure hydrocephalus
Content Type Text
Resource Type Article
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