Combination of Wearable Multi-Biosensor Platform and Resonance Frequency Training for Stress Management of the Unemployed Population

Abstract

Currently considerable research is being directed toward developing methodologies for controlling emotion or releasing stress. An applied branch of the basic field of psychophysiology, known as biofeedback, has been developed to fulfill clinical and non-clinical needs related to such control. Wearable medical devices have permitted unobtrusive monitoring of vital signs and emerging biofeedback services in a pervasive manner. With the global recession, unemployment has become one of the most serious social problems; therefore, the combination of biofeedback techniques with wearable technology for stress management of unemployed population is undoubtedly meaningful. This article describes a wearable biofeedback system based on combining integrated multi-biosensor platform with resonance frequency training (RFT) biofeedback strategy for stress management of unemployed population. Compared to commercial system, in situ experiments with multiple subjects indicated that our biofeedback system was discreet, easy to wear, and capable of offering ambulatory RFT biofeedback.Moreover, the comparative studies on the altered autonomic nervous system (ANS) modulation before and after three week RFT biofeedback training was performed in unemployed population with the aid of our wearable biofeedback system. The achieved results suggested that RFT biofeedback in combination with wearable technology was capable of significantly increasingoverall HRV, which indicated by decreasing sympathetic activities, increasing parasympathetic activities, and increasing ANS synchronization. After 3-week RFT-based respiration training, the ANS's regulating function and coping ability of unemployed population have doubled, and tended toward a dynamic balance.

Biofeedback for Everyday Stress Management: A Systematic Review

“…This feedback helps users to learn to improve selfregulation skills through practice in controlling that activity. For instance, the GSR data are used for learning to regulate arousal (Bouchard et al, 2012;Sanchez et al, 2012), the IBI data (Cutshall et al, 2011;Edvardsson et al, 2012) and the RSP data are used for regulating breathing (Adelbach et al, 2012;Wu et al, 2012;Meier and Welch, 2016). The other bio-data are mainly used as secondary information, indicating the results of the biofeedback training.…”

“…The biofeedback data are displayed on the screen of a personal computer (n = 24) or a mobile/portable device (n = 15). The ambient medium allows the users to receive biofeedback information through the surroundings in a physical Larkin et al, 1992;Goodie and Larkin, 2006;McCraty et al, 2009;Strunk et al, 2009;Cutshall et al, 2011;Henriques et al, 2011;Morarend et al, 2011;Edvardsson et al, 2012;Moraveji et al, 2012;Paul and Garg, 2012;Sanchez et al, 2012;Sutarto et al, 2012;Wells et al, 2012;Wu et al, 2012Wu et al, , 2015Prinsloo et al, 2013;Peira et al, 2014;Whited et al, 2014;Lewis et al, 2015;Pusenjak et al, 2015;Sarabia-Cobo, 2015;Meier and Welch, 2016;Munafò et al, 2016Animations Feijs et al, 2013Al Osman et al, 2016 Visual scene Bouchard et al, 2012;De Jonckheere et al, 2014;Gaggioli et al, 2014;Dillon et al, 2016;van Rooij et al, 2016 Virtual character Chittaro and Sioni, 2014;Arroyo-Palacios and Slater, 2016 Modified game Parnandi et al, 2013;Kotozaki et al, 2014 Ambient light Snyder et al, 2015 Auditory Musical expression Yokoyama et al, 2002;Morarend et al, 2011;Vidyarthi and Riecke, 2013;...…”

“…A total of 18 studies used within-subjects design and 23 studies used between-subjects design (including 20 RCTs). In addition, two studies (Wu et al, 2012;Sarabia-Cobo, 2015) used a quasi-experimental design, and one study (Vidyarthi and Riecke, 2013) conducted a qualitative experiment through a post-test interview.…”

“…Physiological measures HRV (n = 18) Yokoyama et al, 2002;McCraty et al, 2009;Lemaire et al, 2011;Adelbach et al, 2012;Paul and Garg, 2012;Sutarto et al, 2012;Wu et al, 2012Wu et al, , 2015Zhu et al, 2012;Parnandi et al, 2013;Prinsloo et al, 2013;Whited et al, 2014;Bhandari et al, 2015;Lee and Finkelstein, 2015;Lewis et al, 2015;Sarabia-Cobo, 2015;Al Osman et al, 2016;Meier and Welch, 2016 GSR (n = 8) Strunk et al, 2009;Adelbach et al, 2012;Feijs et al, 2013;Parnandi et al, 2013;Bhandari et al, 2015;Pusenjak et al, 2015;Arroyo-Palacios and Slater, 2016;Munafò et al, 2016 HR (n = 10) Larkin et al, 1992;Goodie and Larkin, 2006;Strunk et al, 2009;Lemaire et al, 2011;Bouchard et al, 2012;Prinsloo et al, 2013;Peira et al, 2014;Pusenjak et al, 2015;Arroyo-Palacios and Slater, 2016;Dillon et al, 2016 RSP (n = 9) Adelbach et al, 2012;Moraveji et al, 2012;Wu et al, 2012Wu et al, , 2015Prinsloo et al, 2013;…”

Effects on Cardiac and Peripheral Autonomic Nervous System by Posture Respiration Feedback Control Architecture

“…Historically, voluntary breathing control has been introduced in all part of the world as a means to relaxation, meditation, or alternative medicine. The psycho-behavioural benefits of voluntary breathing control include improved task performance [1], enhancing academic performance [2], alleviating anxiety [3][4][5], and reducing negative emotions [6]. The breathing control also brings a wide range of benefits to our body.…”