Printed skin-conformal bioelectronics for wireless continuous stress monitoring and management
暂无分享,去创建一个
[1] M. Kalia,et al. Assessing the economic impact of stress--the modern day hidden epidemic. , 2002, Metabolism: clinical and experimental.
[2] I. Painter,et al. Protocol: a multi-level intervention program to reduce stress in 9-1-1 telecommunicators , 2018, BMC Public Health.
[3] F. Smit,et al. A health economic outcome evaluation of an internet-based mobile-supported stress management intervention for employees. , 2017, Scandinavian journal of work, environment & health.
[4] Torbjörn Akerstedt,et al. Psychosocial stress and impaired sleep. , 2006, Scandinavian journal of work, environment & health.
[5] Heleen Riper,et al. Web-Based and Mobile Stress Management Intervention for Employees: A Randomized Controlled Trial , 2016, Journal of medical Internet research.
[6] Shinjae Kwon,et al. All-printed nanomembrane wireless bioelectronics using a biocompatible solderable graphene for multimodal human-machine interfaces , 2020, Nature Communications.
[7] T. Probst. Conducting effective stress intervention research: strategies for achieving an elusive goal. , 2013, Stress and health : journal of the International Society for the Investigation of Stress.
[8] Shinjae Kwon,et al. Wireless, continuous monitoring of daily stress and management practice via soft bioelectronics. , 2020, Biosensors & bioelectronics.
[9] B. McEwen. Central effects of stress hormones in health and disease: Understanding the protective and damaging effects of stress and stress mediators. , 2008, European journal of pharmacology.
[10] Stefan Winkler,et al. ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors , 2018, IEEE Transactions on Affective Computing.
[11] Joseph G. Allen,et al. Effects of Biophilic Interventions in Office on Stress Reaction and Cognitive Function: A Randomized Crossover Study in Virtual Reality. , 2019, Indoor air.
[12] Adrian Basarab,et al. Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review , 2016, J. Biomed. Informatics.
[13] John-John Cabibihan,et al. Physiological Responses to Affective Tele-Touch during Induced Emotional Stimuli , 2017, IEEE Transactions on Affective Computing.
[14] Shinjae Kwon,et al. Fully Integrated, Stretchable, Wireless Skin‐Conformal Bioelectronics for Continuous Stress Monitoring in Daily Life , 2020, Advanced science.
[15] Tamás D. Gedeon,et al. Objective measures, sensors and computational techniques for stress recognition and classification: A survey , 2012, Comput. Methods Programs Biomed..
[16] Cem Ersoy,et al. Stress detection in daily life scenarios using smart phones and wearable sensors: A survey , 2019, J. Biomed. Informatics.
[17] Woon-Hong Yeo,et al. Soft Wireless Bioelectronics and Differential Electrodermal Activity for Home Sleep Monitoring , 2021, Sensors.
[18] Chris Van Hoof,et al. A Data Driven Empirical Iterative Algorithm for GSR Signal Pre-Processing , 2018, 2018 26th European Signal Processing Conference (EUSIPCO).
[19] S. Olbrich,et al. Exposure and response prevention therapy augmented with naltrexone in kleptomania: a controlled case study using galvanic skin response for monitoring , 2019, Behavioural and Cognitive Psychotherapy.
[20] Jae‐Woong Jeong,et al. Advanced Soft Materials, Sensor Integrations, and Applications of Wearable Flexible Hybrid Electronics in Healthcare, Energy, and Environment , 2019, Advanced materials.
[21] Antonio Artés-Rodríguez,et al. Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution , 2018, IEEE Journal of Biomedical and Health Informatics.
[22] Franz Gravenhorst,et al. Towards long term monitoring of electrodermal activity in daily life , 2013, Personal and Ubiquitous Computing.