Yongjin Zhou
Biographic Data
| ID | 7970286 |
|---|---|
| NAME | Yongjin Zhou |
| GIVEN NAMES | Yongjin |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU Y |
| AFFILIATIONS | Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University |
| ORCID | 0000-0002-0067-8466 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly
Introduction Using wrist-wearable sensors to ecological transient assessment may provide a more valid assessment of physical activity, sedentary time, sleep and circadian rhythm than self-reported questionnaires, but has not been used widely to study the association with mild cognitive impairment and their characteristics. Methods 31 normal cognitive ability participants and 68 MCI participants were monitored with tri-axial accelerometer and noct…
Abnormal Functional Connectivity Density in New-Onset Type 1 Diabetes Mellitus Children
Type 1 diabetes mellitus (T1DM) causes cognitive changes in children, which may be due to deficits in brain functions. It is unclear whether T1DM children will have brain functional changes during the initial stage of the disease. We aimed to investigate the changes in the functional brain network topology in children with new-onset T1DM. In this study, 35 new-onset T1DM children and 33 age-, sex-matched healthy controls underwent resting-state f…
No prominent works on this page.
Abnormal Functional Connectivity Density in New-Onset Type 1 Diabetes Mellitus Children
Type 1 diabetes mellitus (T1DM) causes cognitive changes in children, which may be due to deficits in brain functions. It is unclear whether T1DM children will have brain functional changes during the initial stage of the disease. We aimed to investigate the changes in the functional brain network topology in children with new-onset T1DM. In this study, 35 new-onset T1DM children and 33 age-, sex-matched healthy controls underwent resting-state f…
Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly
Introduction Using wrist-wearable sensors to ecological transient assessment may provide a more valid assessment of physical activity, sedentary time, sleep and circadian rhythm than self-reported questionnaires, but has not been used widely to study the association with mild cognitive impairment and their characteristics. Methods 31 normal cognitive ability participants and 68 MCI participants were monitored with tri-axial accelerometer and noct…
Audiology (2 works) · Cardiology (2 works) · Heart Rate Variability and Autonomic Control (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Psychology (2 works) · Blood pressure (1 works) · Circadian rhythm (1 works) · Cognition (1 works) · Cuneus (1 works)