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Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data
Satoshi Yokoyama
, Fumi Kagawa
,
Masahiro Takamura
, Koki Takagaki
, Kohei Kambara
, Yuki Mitsuyama
, Ayaka Shimizu
, Go Okada
, Yasumasa Okamoto
Research output
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Contribution to journal
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Article
›
peer-review
7
Citations (Scopus)
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Dive into the research topics of 'Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data'. Together they form a unique fingerprint.
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Keyphrases
Autoregressive Parameters
25%
Best Individual
25%
Day Activities
50%
Device Data
25%
Diurnal Variability
25%
Grid Search
25%
Habitual Physical Activity
25%
Hyperparameters
25%
Moving Average Model
25%
Objective Physical Activity
25%
Parameter Combination
25%
Physical Activity Patterns
25%
Seasonal Autoregressive
50%
Subjective Awareness
25%
Neuroscience
Behavior (Neuroscience)
100%
Time Series Analysis
100%
Wearable Sensor
100%
Computer Science
Behavior Pattern
20%
Data Storage Device
100%
Individual Model
20%
Moving Average
20%
Psychology
Time Series Analysis
100%