Online Estimation of Elbow Joint Angle Using Upper Arm Acceleration: A Movement Partitioning Approach

Journal Title: Journal of Biomedical Physics and Engineering - Year 2017, Vol 7, Issue 3

Abstract

Estimating the elbow angle using shoulder data is very important and valuable in Functional Electrical Stimulation (FES) systems which can be useful in assisting C5/C6 SCI patients. Much research has been conducted based on the elbow-shoulder synergies. The aim of this study was the online estimation of elbow flexion/extension angle from the upper arm acceleration signals during ADLs. For this, a three-level hierarchical structure was proposed based on a new approach, i.e. ‘the movement phases’. These levels include Clustering, Recognition using HMMs and Angle estimation using neural networks. ADLs were partitioned to the movement phases in order to obtain a structured and efficient method. It was an online structure that was very useful in the FES control systems. Different initial locations for the objects were considered in recording the data to increase the richness of the database and to improve the neural networks generalization. The cross correlation coefficient (K) and Normalized Root Mean Squared Error (NRMSE) between the estimated and actual angles, were obtained at 90.25% and 13.64%, respectively. A post-processing method was proposed to modify the discontinuity intervals of the estimated angles. Using the post-processing, K and NRMSE were obtained at 91.19% and 12.83%, respectively.

Authors and Affiliations

M Farokhzadi, A Maleki, S Rashidi

Keywords

Related Articles

New Pseudo-CT Generation Approach from Magnetic Resonance Imaging using a Local Texture Descriptor

Background: One of the challenges of PET/MRI combined systems is to derive an attenuation map to correct the PET image. For that, the pseudo-CT image could be used to correct the attenuation. Until now, most existing sci...

In vitro Evaluation of the Relationship between Gray Scales in Digital Intraoral Radiographs and Hounsfield Units in CT Scans

Background: Jaw bone quality plays an essential role in treatment planning and prognosis of dental implants. Regarding several available methods for bone density measurements, they are not routinely used before implant s...

Automatic Prostate Cancer Segmentation Using Kinetic Analysis in Dynamic Contrast-Enhanced MRI

Background: Dynamic contrast enhanced magnetic resonance imaging (DCEMRI) provides functional information on the microcirculation in tissues by analyzing the enhancement kinetics which can be used as biomarkers for prost...

Can Evolutionary-based Brain Map Be Used as a Complementary Diagnostic Tool with fMRI, CT and PET for Schizophrenic Patients?

Objective: In this research, a new approach termed “evolutionary-based brain map” is presented as a diagnostic tool to classify schizophrenic and control subjects by distinguishing their electroencephalogram (EEG) featur...

Download PDF file
  • EP ID EP331838
  • DOI -
  • Views 118
  • Downloads 0

How To Cite

M Farokhzadi, A Maleki, S Rashidi (2017). Online Estimation of Elbow Joint Angle Using Upper Arm Acceleration: A Movement Partitioning Approach. Journal of Biomedical Physics and Engineering, 7(3), 305-314. https://europub.co.uk/articles/-A-331838