1.Development and application of a motor rehabilitation system based on Kinect somatosensory interaction technology
Bin XIA ; Kaiyu LIU ; Zhijie HE ; Jie JIA
Chinese Journal of Physical Medicine and Rehabilitation 2014;36(12):951-955
Objective To develop a motor rehabilitation system based on Kinect somatosensory interaction technology to be used in families.Methods The Kinect skeleton real-time tracking technique was applied to develop three motor rehabilitation protocols to instruct patients in how to perform rehabilitation training and to evaluate their performance.Results Five subjects participated in the experiment.They achieved average scores of 79.15 ±4.89 and 98.89±0.67 for 3D movement and arm lifting respectively.In the pose recognition experiment,their average recognition rate was 90.37 ± 5.21%.Conclusion The proposed rehabilitation system can instruct patients in performing training exercises and evaluate their performance at home.
2.Association between autoimmune diseases and thyroid dysfuction: a Mendelian randomization study
REN Shouze ; LI Zeguang ; LI Linwei ; XIA Kaiyu ; LIANG Hua
Journal of Preventive Medicine 2023;35(12):1024-1028
Objective:
To evaluate the association between autoimmune diseases (ADs) and thyroid dysfunction using a Mendelian randomization (MR) approach.
Methods:
Genetic predictors of hypothyroidism and hyperthyroidism were collected through the UK Biobank, including 337 159 individuals and 10 894 596 single nucleotide polymorphisms (SNPs). Genetic predictors of 6 ADs including systemic lupus erythematosus (SLE), ankylosing spondylitis (AS), type 1 diabetes mellitus (T1DM), rheumatoid arthritis (RA), primary biliary cholangitis (PBC), and multiple sclerosis (MS) were collected through the GWAS Catalog database, including 14 267 individuals and 7 071 163 SNPs, 22 647 individuals and 99 962 SNPs, 24 840 individuals and 12 783 129 SNPs, 58 284 individuals and 13 108 512 SNPs, 13 239 individuals and 1 124 241 SNPs, and 38 589 individuals and 156 632 SNPs. MR analysis was performed using the inverse-variance weighted (IVW) method. The horizontal pleiotropy was assessed using the MR-Egger regression, and sensitivity analysis was conducted with the leave-one-out.
Results:
IVW results showed that a higher risk of hypothyroidism was associated with T1DM (OR=1.007, 95%CI: 1.003-1.011, P<0.05), SLE (OR=1.005, 95%CI: 1.002-1.009, P<0.05), and RA (OR=1.013, 95%CI: 1.009-1.016, P<0.05); a higher risk of hyperthyroidism was associated with T1DM (OR=1.002, 95%CI: 1.001-1.003, P<0.05) and SLE (OR=1.002, 95%CI: 1.001-1.003, P<0.05).
Conclusions
Genetically predicted ADs are associated with an increased risk of thyroid dysfunction. A higher risk of hypothyroidism is associated with T1DM, SLE and RA; a higher risk of hyperthyroidism is associated with T1DM and SLE.