Assessment of Biofeedback Training for Emotion Management Through Wearable Textile Physiological Monitoring System

Negative emotion has a wide range of pernicious impacts on people, ranging from the failure in real-time task performance to the development of chronic health conditions. An unobtrusive wearable biofeedback system for personalized emotional management has been designed and presented in this paper. The system integrated heart rate variability (HRV) biofeedback to wearable biosensor platform, which could function both as an early stress warning system as well as a visual interface to manipulate subject's affective state. The designed and developed system would help subject to transform the negative emotion state into positive through real-time HRV biofeedback training. The results indicated that the real-time HRV biofeedback is significantly effective in cases of negative emotion. With the aid of the developed biofeedback system, the subhealth subjects could transform heart rhythm from negative emotion to positive emotion-related oscillation mode.

[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.