TY  - JOUR
UR  - http://doi.org/10.3390/bioengineering9120793
TI  - A Novel Smart Belt for Anxiety Detection, Classification, and Reduction Using IIoMT on Students? Cardiac Signal and MSY
N2  - The prevalence of anxiety among university students is increasing, resulting in the negative impact on their academic and social (behavioral and emotional) development. In order for students to have competitive academic performance, the cognitive function should be strengthened by detecting and handling anxiety. Over a period of 6 weeks, this study examined how to detect anxiety and how Mano Shakti Yoga (MSY) helps reduce anxiety. Relying on cardiac signals, this study follows an integrated detection-estimation-reduction framework for anxiety using the Intelligent Internet of Medical Things (IIoMT) and MSY. IIoMT is the integration of Internet of Medical Things (wearable smart belt) and machine learning algorithms (Decision Tree (DT), Random Forest (RF), and AdaBoost (AB)). Sixty-six eligible students were selected as experiencing anxiety detected based on the results of self-rating anxiety scale (SAS) questionnaire and a smart belt. Then, the students were divided randomly into two groups: experimental and control. The experimental group followed an MSY intervention for one hour twice a week, while the control group followed their own daily routine. Machine learning algorithms are used to analyze the data obtained from the smart belt. MSY is an alternative improvement for the immune system that helps reduce anxiety. All the results illustrate that the experimental group reduced anxiety with a significant (p < 0.05) difference in group × time interaction compared to the control group. The intelligent techniques achieved maximum accuracy of 80% on using RF algorithm. Thus, students can practice MSY and concentrate on their objectives by improving their intelligence, attention, and memory.
A1  - Pal, Rishi
A1  - Adhikari, Deepak
A1  - Heyat, Md Belal Bin
A1  - Guragai, Bishal
A1  - Lipari, Vivian
A1  - Brito Ballester, Julién
A1  - De la Torre Díez, Isabel
A1  - Abbas, Zia
A1  - Lai, Dakun
JF  - Bioengineering
ID  - uninipr5340
VL  - 9
IS  - 12
Y1  - 2022/12//
SN  - 2306-5354
AV  - public
KW  - yoga; anxiety; machine learning; internet of medical things; student; artificial intelligence; therapy; integrative medicine; exercise; health; brain
ER  -