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Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling.

, , , , , , , , , , , , , , and . npj Digit. Medicine, (2023)

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New Rule-Based Algorithm for Real-Time Detecting Sleep Apnea and Hypopnea Events Using a Nasal Pressure Signal., , , and . J. Medical Systems, 40 (12): 282:1-282:12 (2016)A Regularization Approach for Identifying Cumulative Lagged Effects in Smart Health Applications., , , , , , , , , and 9 other author(s). DH, page 99-103. ACM, (2017)Feature Importance and Predictive Modeling for Multi-source Healthcare Data with Missing Values., , , , , , , , , and 7 other author(s). Digital Health, page 47-54. ACM, (2016)Automatic snoring detection from nasal pressure data., , , and . EMBC, page 6870-6872. IEEE, (2013)Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling., , , , , , , , , and 5 other author(s). npj Digit. Medicine, (2023)Repeatability of the accelerometric-based method to detect step events for hemiparetic stroke patients., , , , and . EMBC, page 5195-5198. IEEE, (2011)Erratum to: Nasal pressure recordings for automatic snoring detection., , and . Medical Biol. Eng. Comput., 54 (12): 1969-1970 (2016)Nasal pressure recordings for automatic snoring detection., , and . Medical Biol. Eng. Comput., 53 (11): 1103-1111 (2015)