NDLI: Validation of the e-AR Sensor for Gait Event Detection Using the Parotec Foot Insole with Application to Post-Operative Recovery Monitoring

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2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

2014 11th International Conference on Wearable and Implantable Body Sensor Networks

Table of contents

Message from the General Chair

Message from the Programme Chairs

Technical Program Committee

Steering Committee

A Piezoelectric Pulse Generator and FM Transmission Circuit for Self-Powered BSN Nodes

Experimental Validation of a Piezoelectric Frequency Up-Converting Rotational Harvester

Investigation of TOA-Based Ranging Accuracy of a Miniature Ultra-Wideband Antenna for Human Motion Capture Applications

Subcutaneous Glucose Concentration as a Predictor Variable for Energy Expenditure during Resistance Exercise in Humans

JSM-2 Based Joint ECG Compression Exploiting Temporal and Structural Dependency

Prediction of Arm End-Point Force Using Multi-channel MMG

Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches

Transfer Learning in Body Sensor Networks Using Ensembles of Randomised Trees

The Use of BSN for Whole Body Motion Training for a Humanoid Robot

Wearable Localization by Particle Filter with the Assistance of Inertial and Visual Sensors

A Bendable and Wearable Cardiorespiratory Monitoring Device Fusing Two Noncontact Sensor Principles

Wearable Tissue Oxygenation Monitoring Sensor and a Forearm Vascular Phantom Design for Data Validation

A Comparison of Day-Long Recording Stability and Muscle Force Prediction between BSN-Based Mechanomyography and Electromyography

A Wearable Nutrition Monitoring System

A Novel Body Sensor Network for Parkinson's Disease Patients Rehabilitation Assessment

Mobile Health: Design of Flexible and Stretchable Electrophysiological Sensors for Wearable Healthcare Systems

Anti-Cheating: Detecting Self-Inflicted and Impersonator Cheaters for Remote Health Monitoring Systems with Wearable Sensors

Automatic Activity Classification and Movement Assessment During a Sports Training Session Using Wearable Inertial Sensors

Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices

Motion Based Acceleration Correction for Improved Sensor Orientation Estimates

Linking UPDRS Scores and Kinematic Variables in the Leg Agility Task of Parkinsonians

Unsupervised Time Series Segmentation for High-Dimensional Body Sensor Network Data Streams

Validation of the e-AR Sensor for Gait Event Detection Using the Parotec Foot Insole with Application to Post-Operative Recovery Monitoring

Optimal Design for Symbiotic Wearable Wireless Sensors

A Usability User Study Concerning Free-Hand Microgesture and Wrist-Worn Sensors

Performance Comparison of Two Step Segmentation Algorithms Using Different Step Activities

Detection of Gait Phases Using Orient Specks for Mobile Clinical Gait Analysis

Author index

2013 IEEE International Conference on Body Sensor Networks

2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks

2011 International Conference on Body Sensor Networks

2010 International Conference on Body Sensor Networks

2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks

International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)

Validation of the e-AR Sensor for Gait Event Detection Using the Parotec Foot Insole with Application to Post-Operative Recovery Monitoring

Content Provider	IEEE Xplore Digital Library
Author	Jarchi, D. Lo, B. Ieong, E. Nathwani, D. Guang-Zhong Yang
Copyright Year	2014
Description	Author affiliation: Imperial Coll. Healthcare NHS Trust, London, UK (Ieong, E.; Nathwani, D.) \|\| Inst. of Global Health Innovation, Hamlyn Centre, Imperial Coll. London, London, UK (Jarchi, D.; Lo, B.; Guang-Zhong Yang)
Abstract	The use of e-AR (ear-worn activity recognition) sensor for gait pattern estimation has shown promise for a range of health and wellbeing applications. To establish its more detailed quantitative accuracy, an in-shoe pressure measurement system (Parotec) has been used to validate the estimated gait events from the e-AR sensor. Ten healthy adults equipped with Parotec and e-AR systems walked in a corridor of about 15m. The sampling frequency of both systems was set at 100Hz and a manual synchronisation has been performed for subsequent error measurements. The gait events from the e-AR sensor are estimated by using a recently developed method based on singular spectrum analysis and longest common subsequence algorithms [1]. The corresponding gait events from the Parotec system are estimated using the ground reaction forces. The upper and lower limits of absolute errors using 95% confidence intervals for heel contact and toe off events obtained as 35.38±3.22ms and 73.05±7.24ms respectively. We further provide a preliminary patient study to demonstrate how the estimated gait events and the gait analysis platform can be used for assessing patients recovering after orthopaedic surgery inside the clinic.
Starting Page	127
Ending Page	131
File Size	905021
Page Count	5
File Format	PDF
e-ISBN	9781479949595
DOI	10.1109/BSN.2014.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-16
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Event detection Large Hadron Collider e-AR (ear-worn activity recognition) sensor pressure measurement Measurement uncertainty toe off gait Silicon Acceleration Monitoring heel contact Foot
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Assessment of the e-AR sensor for gait analysis of Parkinson;s Disease patients

Heel-contact toe-off walking model based on the Linear Inverted Pendulum

Gait Parameter Estimation From a Miniaturized Ear-Worn Sensor Using Singular Spectrum Analysis and Longest Common Subsequence

Gait event detection algorithm based on smart insoles

REGISTRATION BETWEEN DATA FROM VISUAL SENSORS AND FORCE PLATFORM IN GAIT EVENT DETECTION

Feature extraction from ear-worn sensor data for gait analysis

Gait Event Detection on Level Ground and Incline Walking Using a Rate Gyroscope

Wireless Integrated Gait Analysis System for Heel-Strike and Toe-Off Measurement

Gait Event Detection during Stair Walking Using a Rate Gyroscope

Validation of the e-AR Sensor for Gait Event Detection Using the Parotec Foot Insole with Application to Post-Operative Recovery Monitoring

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REGISTRATION BETWEEN DATA FROM VISUAL SENSORS AND FORCE PLATFORM IN GAIT EVENT DETECTION

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