Automating the assessment of rehabilitative grasp and reach. - Tracey Kah-Mein Lee; K. H. Leo; S. Zhang (ICICS, 2011)

Automated scoring of rehabilitative tests with singular spectrum analysis. - Tracey Kah-Mein Lee; K. H. Leo; Saeid Sanei; Effie Chew (EUSIPCO, 2015)

Automated scoring of rehabilitative tests via time-frequency informed singular spectrum analysis. - Tracey Kah-Mein Lee; Kee-Hao Leo; Effie Chew; Ling Zhao 007; Saeid Sanei (IWCIM, 2015)

Towards rehabilitative e-Health by introducing a new automatic scoring system. - Tracey Kah-Mein Lee; Joo Ghee Lim; Kee-Hao Leo; Saeid Sanei; P. Y. Lew; Effie Chew; Ling Zhao 007 (HealthCom, 2016)

Objectifying Rehabilitative Tests with Singular Spectrum Analysis. - Danny M. T. Lee; Tracey Kah-Mein Lee; Saeid Sanei; Kee-Hao Leo; Y. H. Wong; Z. Ling; Effie Chew (ICMSSP, 2016)

Triaxial rehabilitative data analysis incorporating matching pursuit. - Tracey Kah-Mein Lee; Kee-Hao Leo; Saeid Sanei; Effie Chew; Ling Zhao 007 (EUSIPCO, 2017)

Indications of Neural Disorder through Automated Assessment of the Box and Block Test. - Tracey Kah-Mein Lee; J. G. Lim; Kee-Hao Leo; Saeid Sanei (DSP, 2018)

Surrogate Rehabilitative Time Series Data for Image-based Deep Learning. - K. M. Tracey Lee Eileen; Kuah-Li Kuah; Kee-Hao Leo; Saeid Sanei; Effie Chew; Ling Zhao 007 (EUSIPCO, 2019)

Surrogate Data for Deep Learning Architectures in Rehabilitative Edge Systems. - Tracey Kah-Mein Lee; H. W. Chan; K. H. Leo; Effie Chew; Ling Zhao 007; Saeid Sanei (SPA, 2020)

Improving Rehabilitative Assessment with Statistical and Shape Preserving Surrogate Data and Singular Spectrum Analysis. - Tracey Kah-Mein Lee; H. W. Chan; K. H. Leo; Effie Chew; Ling Zhao 007; Saeid Sanei (SPA, 2022)

Fidelitous Augmentation of Human Accelerometric Data for Deep Learning. - Tracey Kah-Mein Lee; H. W. Chan; Kee-Hao Leo; Effie Chew; Ling Zhao 007; Saeid Sanei (HealthCom, 2023)

Intrinsic Properties of Human Accelerometer Data for Machine Learning. - Tracey Kah-Mein Lee; H. W. Chan; K. H. Leo; Effie Chew; Ling Zhao 007; Saeid Sanei (SSP, 2023)