Wearable and Wireless Systems for Gait Analysis and Reflex Quantification-Reference-Cited by-同舟云学术

Wearable and Wireless Systems for Gait Analysis and Reflex Quantification

Published:2017-10-21 Issue: Volume: Page:1-20
ISSN:2194-8402
Container-title:Smart Sensors, Measurement and Instrumentation
language:
Short-container-title:

Author:

LeMoyne Robert,Mastroianni Timothy

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5684-0_1

Reference51 articles.

1. Dobkin BH (2003) The clinical science of neurologic rehabilitation. Oxford University Press

2. Perry J (1992) Gait analysis: normal and pathological function. Slack

3. LeMoyne R, Mastroianni T (2015) Use of smartphones and portable media devices for quantifying human movement characteristics of gait, tendon reflex response, and Parkinson’s disease hand tremor. Methods and Protocols, Mobile Health Technologies, 335–358

4. LeMoyne R, Mastroianni T (2017) Wearable and wireless gait analysis platforms: smartphones and portable media devices. Wireless MEMS Networks and Applications, 129–152

5. LeMoyne R, Mastroianni T (2016) Telemedicine perspectives for wearable and wireless applications serving the domain of neurorehabilitation and movement disorder treatment. Telemedicine, 1–10

Cited by 2 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. Longitudinal Evaluation of Hemiplegic Ankle Rehabilitation Efficacy by Wearable Inertial Sensor Systems with an Assortment of Machine Learning Algorithms;Journal of Biomedical Science and Engineering;2023

2. An Evolutionary Perspective for Network Centric Therapy through Wearable and Wireless Systems for Reflex, Gait, and Movement Disorder Assessment with Machine Learning;Wireless Sensor Networks - Design, Deployment and Applications;2021-09-15