Support vector machines for automated gait classification

By Rezaul K. Begg, Marimuthu Swami Palaniswami, Brendan Owen. IEEE Transactions on Biomedical Engineering, 2005

406 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/68e524930fc84621986afb14d34e019eba329ab8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Chandan Kumar Karmakar
2. Ahsan Habib Khandoker
3. Marimuthu Swami Palaniswami

In Endocrinology, Diabetes and Metabolism

1. Chandan Kumar Karmakar
2. Ahsan Habib Khandoker
3. Marimuthu Swami Palaniswami

In Human-Computer Interaction

1. Chandan Kumar Karmakar
2. Ahsan Habib Khandoker
3. Marimuthu Swami Palaniswami

Citations in the corpus

• Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings (2009, methodology): “The wavelet decomposition method has been reported to be appropriate for the analysis of nonstationary biological signals consisting of different frequency (high, low, very low) components [53].”