Assessment of Biofeedback Training for Emotion Management Through Wearable Textile Physiological Monitoring System
暂无分享,去创建一个
[1] Harry A. Miller,et al. Biomedical electrode technology: theory and practice , 1974 .
[2] Mark S. Schwartz,et al. Biofeedback: A Practitioner's Guide , 1987 .
[3] A. Malliani,et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .
[4] Naphtali Rishe,et al. Heart Rate Variability Biofeedback as a Method for Assessing Baroreflex Function: A Preliminary Study of Resonance in the Cardiovascular System , 2002, Applied psychophysiology and biofeedback.
[5] S. Coyle,et al. Brain–computer interfaces: a review , 2003 .
[6] Psychophysiological Training of Operators in Adaptive Biofeedback Cardiorhythm Control , 2006, The Spanish Journal of Psychology.
[7] F. Gamelin,et al. Validity of the polar S810 heart rate monitor to measure R-R intervals at rest. , 2006, Medicine and science in sports and exercise.
[8] Wen-June Wang,et al. QRS complexes detection for ECG signal: The Difference Operation Method , 2008, Comput. Methods Programs Biomed..
[9] Erik Peper,et al. Biofeedback an evidence based approach in clinical practice , 2009 .
[10] Guang-Zhong Yang,et al. Development of a Wireless Sensor Glove for Surgical Skills Assessment , 2009, IEEE Transactions on Information Technology in Biomedicine.
[11] Wanqing Wu,et al. Improvement of HRV methodology for positive/negative emotion assessment , 2009, 2009 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing.
[12] Brendan Z. Allison,et al. Brain-Computer Interfaces , 2010 .
[13] Muhammad Nubli Abdul Wahab,et al. Heart Rate Variability (HRV) biofeedback: A new training approach for operator’s performance enhancement , 2010 .
[14] M. Bates,et al. Resonances in the cardiovascular system caused by rhythmical muscle tension. , 2011, Psychophysiology.
[15] H. Ewald,et al. A Zigbee-Based Wearable Physiological Parameters Monitoring System , 2012, IEEE Sensors Journal.
[16] Subhas Mukhopadhyay,et al. Intelligent Sensing Systems for Measuring Wellness Indices of the Daily Activities for the Elderly , 2012, 2012 Eighth International Conference on Intelligent Environments.
[17] S. C. Mukhopadhyay,et al. Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly , 2012, IEEE Sensors Journal.
[18] S. Meltzer-Brody,et al. A pilot study of heart rate variability biofeedback therapy in the treatment of perinatal depression on a specialized perinatal psychiatry inpatient unit , 2013, Archives of Women's Mental Health.
[19] Wanqing Wu,et al. Combination of Wearable Multi-Biosensor Platform and Resonance Frequency Training for Stress Management of the Unemployed Population , 2012, Sensors.
[20] S. C. Mukhopadhyay,et al. Towards the smart sensors based human emotion recognition , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.
[21] Rollin McCraty,et al. Heart rate variability biofeedback, executive functioning and chronic brain injury , 2013, Brain injury.
[22] P. Lehrer. History of Heart Rate Variability Biofeedback Research: A Personal and Scientific Voyage , 2013 .
[23] Subhas Mukhopadhyay,et al. Forecasting the behavior of an elderly using wireless sensors data in a smart home , 2013, Eng. Appl. Artif. Intell..
[24] R. Lawson,et al. FP02 Beta Training for Drug-Resistant Depression—A New Protocol That Usually Reduces Depression and Keeps It Reduced , 2013 .
[25] Feng Tian,et al. An ECG detection algorithm using wavelet and autocorrelation transform , 2013, 2013 International Conference on Wireless Communications and Signal Processing.
[26] Saurabh Prakash,et al. Real time monitoring of ECG signal using PIC and web server , 2013 .
[27] S. Mukhopadhyay,et al. Are Technologies Assisted Homes Safer for the Elderly , 2013 .
[28] Octavian Postolache,et al. Pervasive and Mobile Sensing and Computing for Healthcare , 2013 .
[29] Jessica L. Graves,et al. Protocol for Heart Rate Variability Biofeedback Training , 2013 .
[30] A. David,et al. Biofeedback for Psychiatric Disorders: A Systematic Review , 2014, Applied Psychophysiology and Biofeedback.
[31] C. RoyChaudhuri,et al. AN ENERGY EFFICIENT, MINIMALLY INTRUSIVE MULTI-SENSOR INTELLIGENT SYSTEM FOR HEALTH MONITORING OF ELDERLY PEOPLE , 2014 .
[32] W. Derman,et al. A Brief Review and Clinical Application of Heart Rate Variability Biofeedback in Sports, Exercise, and Rehabilitation Medicine , 2014, The Physician and sportsmedicine.
[33] Subhas Mukhopadhyay,et al. Determining Wellness through an Ambient Assisted Living Environment , 2014, IEEE Intelligent Systems.
[34] L. Jäncke,et al. Intracerebral functional connectivity-guided neurofeedback as a putative rehabilitative intervention for ameliorating auditory-related dysfunctions , 2014, Front. Psychol..
[35] Hengchang Jing. COVERAGE HOLES RECOVERY ALGORITHM BASED ON NODES BALANCE DISTANCE OF UNDERWATER WIRELESS SENSOR NETWORK , 2014 .
[36] Hong Li,et al. THE IMPLEMENTATION FOR THE INTELLIGENT HOME CONTROL SYSTEM BASED ON THE ANDROID AND ZIGBEE , 2014 .
[37] Yuan-Ting Zhang,et al. An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks , 2015, Sensors.
[38] Subhas Chandra Mukhopadhyay,et al. Wearable Sensors for Human Activity Monitoring: A Review , 2015, IEEE Sensors Journal.