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Shaoxiong Sun

king’s college london
H指数:17
被引数:794

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Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis

使用多模式可穿戴传感对昼夜节律的季节性影响和抑郁关联的纵向评估: 回顾性分析

2024-06-282
OA
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model
2024-06-015
OAAI
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

使用来自智能手机和可穿戴设备的mHealth数据预测抑郁症症状严重程度的挑战: 回顾性分析

2023-08-149
OA
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
2023-02-1715
OAAI
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions
2022-12-018
OAAI
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis
2022-10-049
OAAI
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study
2022-03-1116
OA
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder
2022-03-0120
OAAI
Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology
2021-09-0617
OAAI
Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study
2021-07-3025
OAAI
Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study

使用腕带可穿戴设备收集的主要抑郁症状严重程度与睡眠之间的关系: 多中心纵向观察研究

2021-04-1232
OAAI