On the public citation graph

https://doi.org/10.2139/ssrn.4618979

0 signed · 32 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/j.2048-7940.2006.tb00005.xopenalex-extracted
Testing a Model of Post-Stroke Exercise Behavior
inferredcites →https://doi.org/10.1007/s11063-022-10744-6openalex-extracted
HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation
inferredcites →https://doi.org/10.1016/j.asoc.2014.04.020openalex-extracted
Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic
inferredcites →https://doi.org/10.1016/j.cmpb.2021.106324openalex-extracted
Postural control assessment via Microsoft Azure Kinect DK: An evaluation study
inferredcites →https://doi.org/10.1016/j.compbiomed.2020.103687openalex-extracted
A review of computational approaches for evaluation of rehabilitation exercises
inferredcites →https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105636openalex-extracted
Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors
inferredcites →https://doi.org/10.1016/j.mlwa.2023.100499openalex-extracted
A novel approach to tele-rehabilitation: Implementing a biofeedback system using machine learning algorithms
inferredcites →https://doi.org/10.1016/j.rehab.2018.08.002openalex-extracted
Home-based training of rhythmic skills with a serious game in Parkinson's disease: Usability and acceptability
inferredcites →https://doi.org/10.1038/s41746-020-00328-wopenalex-extracted
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery
inferredcites →https://doi.org/10.1080/17483107.2018.1467975openalex-extracted
Kinect4FOG: monitoring and improving mobility in people with Parkinson’s using a novel system incorporating the Microsoft Kinect v2
inferredcites →https://doi.org/10.1109/access.2018.2889257openalex-extracted
Usability Study of a Web-Based Platform for Home Motor Rehabilitation
inferredcites →https://doi.org/10.1109/cisis.2013.30openalex-extracted
Telerehabilitation Using Low-Cost Video Game Controllers
inferredcites →https://doi.org/10.1109/cne.2005.1419667openalex-extracted
Upper Limb Position Sensing: A Machine Vision Approach
inferredcites →https://doi.org/10.1109/jsac.2020.3020600openalex-extracted
Remote Monitoring of Physical Rehabilitation of Stroke Patients Using IoT and Virtual Reality
inferredcites →https://doi.org/10.1109/jsen.2020.3012578openalex-extracted
A Multi-Level Sensor-Based Spinal Cord Disorder Classification Model for Patient Wellness and Remote Monitoring
inferredcites →https://doi.org/10.1109/tetc.2020.2988945openalex-extracted
A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients
inferredcites →https://doi.org/10.1109/tnsre.2022.3181252openalex-extracted
Alzheimer’s Disease Detection Using Comprehensive Analysis of Timed Up and Go Test via Kinect V.2 Camera and Machine Learning
inferredcites →https://doi.org/10.1145/3172944.3173146openalex-extracted
A Technology for Computer-Assisted Stroke Rehabilitation
inferredcites →https://doi.org/10.1145/3368555.3384452openalex-extracted
Interactive hybrid approach to combine machine and human intelligence for personalized rehabilitation assessment
inferredcites →https://doi.org/10.1161/hs0202.102367openalex-extracted
The Concept of Patient Motivation
inferredcites →https://doi.org/10.1186/s12938-020-00762-7openalex-extracted
Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison
inferredcites →https://doi.org/10.1186/s12984-021-00837-zopenalex-extracted
A usability study in patients with stroke using MERLIN, a robotic system based on serious games for upper limb rehabilitation in the home setting
inferredcites →https://doi.org/10.1613/jair.953openalex-extracted
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.1682/jrrd.2015.03.0045openalex-extracted
Usability evaluation of low-cost virtual reality hand and arm rehabilitation games
inferredcites →https://doi.org/10.21203/rs.3.rs-85030/v2openalex-extracted
inferredcites →https://doi.org/10.2196/17216openalex-extracted
Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study
inferredcites →https://doi.org/10.2196/17289openalex-extracted
Rehabilitation Exergames: Use of Motion Sensing and Machine Learning to Quantify Exercise Performance in Healthy Volunteers
inferredcites →https://doi.org/10.2196/18130openalex-extracted
MI-PACE Home-Based Cardiac Telerehabilitation Program for Heart Attack Survivors: Usability Study
inferredcites →https://doi.org/10.2196/26658openalex-extracted
App-Based Feedback for Rehabilitation Exercise Correction in Patients With Knee or Hip Osteoarthritis: Prospective Cohort Study
inferredcites →https://doi.org/10.2196/38465openalex-extracted
Interactive Somatosensory Games in Rehabilitation Training for Older Adults With Mild Cognitive Impairment: Usability Study
inferredcites →https://doi.org/10.3389/fnhum.2022.898633openalex-extracted
Brain M-App’s Structure and Usability: A New Application for Cognitive Rehabilitation at Home
inferredcites →https://doi.org/10.3390/electronics12020339openalex-extracted
BiomacVR: A Virtual Reality-Based System for Precise Human Posture and Motion Analysis in Rehabilitation Exercises Using Depth Sensors
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.