Reference health

Gait Cycle Validation and Segmentation Using Inertial Sensors

https://doi.org/10.1109/tbme.2019.2955423
CiteStamped reference-health badge
1 of 46 checkable references need attention · checked 2026-07-24

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

8 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

does not resolve to a known work10.2307/2291512
The 45 checked references that resolve
resolves10.1017/S0373463307004286
Non-GPS Navigation for Security Personnel and First Responders
resolves10.1109/TBME.2017.2785625
Modeling, Detecting, and Tracking Freezing of Gait in Parkinson Disease Using Inertial Sensors
resolves10.1109/TBME.2010.2060723
Zero-Velocity Detection—An Algorithm Evaluation
resolves10.1109/34.192463
A theory for multiresolution signal decomposition: the wavelet representation
resolves10.1109/TBME.2014.2368211
Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients
resolves10.14198/JoPha.2009.3.1.05
Pedestrian tracking using inertial sensors
resolves10.1109/IROS.2005.1544967
A step toward GPS/INS personal navigation systems: real-time assessment of gait by foot inertial sensing
resolves10.1136/jnnp.62.1.22
Rhythmic auditory-motor facilitation of gait patterns in patients with Parkinson's disease.
resolves10.1136/jnnp.200X.097923
Cueing training in the home improves gait-related mobility in Parkinson's disease: the RESCUE trial
resolves10.1038/s41598-018-33942-6
Internal cueing improves gait more than external cueing in healthy adults and people with Parkinson disease
resolves10.1007/s00508-016-1096-4
Gait disorders in adults and the elderly
resolves10.1371/journal.pone.0069627
Prevalence and Burden of Gait Disorders in Elderly Men and Women Aged 60–97 Years: A Population-Based Study
resolves10.1016/j.gaitpost.2007.03.018
The reliability of using accelerometer and gyroscope for gait event identification on persons with dropped foot
resolves10.1371/journal.pone.0073152
Gait Detection in Children with and without Hemiplegia Using Single-Axis Wearable Gyroscopes
resolves10.1007/s11517-011-0736-0
Quasi real-time gait event detection using shank-attached gyroscopes
resolves10.3390/s18010145
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease
resolves10.1109/IPIN.2014.7275464
Foot-mounted inertial navigation made easy
resolves10.1109/PLANS.2012.6236875
Foot-mounted INS for everybody - an open-source embedded implementation
resolves10.1109/IPIN.2010.5646936
Evaluation of zero-velocity detectors for foot-mounted inertial navigation systems
resolves10.1109/JSEN.2010.2045498
SHIMMER™ – A Wireless Sensor Platform for Noninvasive Biomedical Research
resolves10.1002/mds.22340
Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Scale presentation and clinimetric testing results
resolves10.1109/EMBC.2012.6347120
Development of gait segmentation methods for wearable foot pressure sensors
resolves10.1016/j.gaitpost.2008.01.019
Detection of gait events using an F-Scan in-shoe pressure measurement system
resolves10.1109/TSP.2014.2298836
Simultaneous Low-Pass Filtering and Total Variation Denoising
resolves10.1109/TBME.2004.827933
Gait Assessment in Parkinson's Disease: Toward an Ambulatory System for Long-Term Monitoring
resolves10.1109/TBME.2004.840727
Assessment of Walking Features From Foot Inertial Sensing
resolves10.1016/j.medengphy.2009.10.014
Inertial Gait Phase Detection for control of a drop foot stimulator: Inertial sensing for gait phase detection
resolves10.1016/j.gaitpost.2012.06.017
Gait phase detection and discrimination between walking–jogging activities using hidden Markov models applied to foot motion data from a gyroscope
resolves10.3390/s150306419
Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data
resolves10.1109/7333.928571
A reliable gait phase detection system
resolves10.1016/S0021-9290(02)00008-8
Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes
resolves10.1109/JSEN.2004.823671
A Reliable Gyroscope-Based Gait-Phase Detection Sensor Embedded in a Shoe Insole
resolves10.3390/s150922089
Inertial Sensor-Based Gait Recognition: A Review
resolves10.1038/nrneurol.2009.196
The clinical approach to movement disorders
resolves10.1109/TBME.2005.851527
Application of a Neuro-Fuzzy Network for Gait Event Detection Using Electromyography in the Child With Cerebral Palsy
resolves10.3390/s16010066
Gait Partitioning Methods: A Systematic Review
resolves10.1109/TNSRE.2002.1021583
Evaluation of force-sensing resistors for gait event detection to trigger electrical stimulation to improve walking in the child with cerebral palsy
resolves10.1109/7333.918277
Real-time gait event detection for paraplegic FES walking
resolves10.1016/j.gaitpost.2012.07.012
Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors
resolves10.1109/TNSRE.2013.2291907
Segmentation and Classification of Gait Cycles
resolves10.2522/ptj.20140253
Role of Body-Worn Movement Monitor Technology for Balance and Gait Rehabilitation
resolves10.1561/2200000016
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
resolves10.1109/ICASSP.2017.7953017
Sparsity-assisted signal smoothing (revisited)
resolves10.1007/b98818
Matrix Algebra From a Statistician’s Perspective
resolves10.1007/BF01581204
On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators
The 8 references without a DOI — listed, not checked
no DOI — not checkedref39
no DOI — not checkedref38
no DOI — not checkedref30
no DOI — not checkedUsing dynamic time warping to find patterns in time series.
no DOI — not checkedSmoothing for ZUPT-aided INSs
no DOI — not checkedref52
no DOI — not checkedref46
no DOI — not checkedA general analysis of the convergence of ADMM
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-07-24 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.1109/tbme.2019.2955423"><img src="https://citestamp.com/citestamped/10.1109/tbme.2019.2955423/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.1109/tbme.2019.2955423/badge.svg)](https://citestamp.com/citestamped/10.1109/tbme.2019.2955423)