Gait quantification and visualization for digital healthcare-Reference-Cited by-同舟云学术

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Gait quantification and visualization for digital healthcare

Published:2020-06 Issue:2 Volume:9 Page:204-212
ISSN:2211-8837
Container-title:Health Policy and Technology
language:en
Short-container-title:Health Policy and Technology

Author:

Anwary Arif Reza^ORCID,Yu Hongnian,Vassallo Michael^ORCID

Funder

Erasmus Mundus Fusion Project

European Commission Marie Skłodowska-Curie

CHARMED

Royal Society International Exchanges Scheme

Bournemouth University

Publisher

Elsevier BV

Subject

Health Policy,Biomedical Engineering

Reference35 articles.

1. Mobility assessment in older people: new possibilities and challenges;Zijlstra;Eur J Ageing,2007

2. Gait asymmetry in community-ambulating stroke survivors;Patterson;Arch Phys Med Rehabil,2008

3. Is freezing of gait in Parkinson’s disease related to asymmetric motor function?;Plotnik;Ann Neurol,2005

4. Range of joint motion and disability in patients with osteoarthritis of the knee or hip;Steultjens;Rheumatology,2000

5. Effects of cognitive function on gait and dual tasking abilities in patients with parkinson’s disease suffering from motor response fluctuations;Plotnik;Exp Brain Res,2011

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gait Segmentation and Grouping in Daily Data Collected from Wearable IMU Sensors;ECSA 2023;2023-11-15

2. Recent advancements in digital health management using multi-modal signal monitoring;Mathematical Biosciences and Engineering;2023

3. The Development of Health Technologies in the Digitalization Era;Advances in Health Sciences Research;2023

4. An Accelerometer-based Wearable Multi-node Motion Detection System of Freezing of Gait in Parkinson’s Disease;2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2022-05-16

5. ‘Are They Doing Better In The Clinic Or At Home?’: Understanding Clinicians’ Needs When Visualizing Wearable Sensor Data Used In Remote Gait Assessments For People With Multiple Sclerosis;CHI Conference on Human Factors in Computing Systems;2022-04-29

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