1
|
Tan X, Luo M, Xiao Q, Zheng X, Kang J, Zha D, Xie Q, Zhan CA. The ECG abnormalities in persons with chronic disorders of consciousness. Med Biol Eng Comput 2024; 62:3013-3023. [PMID: 38750280 DOI: 10.1007/s11517-024-03129-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 05/10/2024] [Indexed: 09/07/2024]
Abstract
We aimed to investigate the electrocardiogram (ECG) features in persons with chronic disorders of consciousness (DOC, ≥ 29 days since injury, DSI) resulted from the most severe brain damages. The ECG data from 30 patients with chronic DOC and 18 healthy controls (HCs) were recorded during resting wakefulness state for about five minutes. The patients were classified into vegetative state (VS) and minimally conscious state (MCS). Eight ECG metrics were extracted for comparisons between the subject subgroups, and regression analysis of the metrics were conducted on the DSI (29-593 days). The DOC patients exhibit a significantly higher heart rate (HR, p = 0.009) and lower values for SDNN (p = 0.001), CVRR (p = 0.009), and T-wave amplitude (p < 0.001) compared to the HCs. However, there're no significant differences in QRS, QT, QTc, or ST amplitude between the two groups (p > 0.05). Three ECG metrics of the DOC patients-HR, SDNN, and CVRR-are significantly correlated with the DSI. The ECG abnormalities persist in chronic DOC patients. The abnormalities are mainly manifested in the rhythm features HR, SDNN and CVRR, but not the waveform features such as QRS width, QT, QTc, ST and T-wave amplitudes.
Collapse
Affiliation(s)
- Xiaodan Tan
- School of Biomedical Engineering, Southern Medical University, No. 1023, Shatainan Road, Baiyun District, Guangzhou, 510515, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Minmin Luo
- School of Biomedical Engineering, Southern Medical University, No. 1023, Shatainan Road, Baiyun District, Guangzhou, 510515, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Qiuyi Xiao
- Joint Research Centre for Disorders of Consciousness, Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue Central, Guangzhou, 510280, Guangdong Province, China
| | - Xiaochun Zheng
- Joint Research Centre for Disorders of Consciousness, Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue Central, Guangzhou, 510280, Guangdong Province, China
| | - Jiajia Kang
- School of Biomedical Engineering, Southern Medical University, No. 1023, Shatainan Road, Baiyun District, Guangzhou, 510515, Guangdong Province, China
| | - Daogang Zha
- Department of General Practice, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qiuyou Xie
- Joint Research Centre for Disorders of Consciousness, Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue Central, Guangzhou, 510280, Guangdong Province, China.
| | - Chang'an A Zhan
- School of Biomedical Engineering, Southern Medical University, No. 1023, Shatainan Road, Baiyun District, Guangzhou, 510515, Guangdong Province, China.
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China.
- Joint Research Centre for Disorders of Consciousness, Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue Central, Guangzhou, 510280, Guangdong Province, China.
| |
Collapse
|
2
|
Chang WY, Wang X, Guo DS, Nguyen LHP, Tran NH, Yang SJ, Lin HZ, Wu HC, Huang CF. Explore the effects of forest travel activities on university students' stress affection. Front Psychol 2024; 14:1240499. [PMID: 38268801 PMCID: PMC10806104 DOI: 10.3389/fpsyg.2023.1240499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 12/20/2023] [Indexed: 01/26/2024] Open
Abstract
This study aims to explore the effects of forest travel activities on university students' stress affection. Forty volunteer university students participated in this study. All participants were asked to complete physiological (Heart Rate Variability) and psychological (Brief Profile of Mood State and State-Trait Anxiety Inventory) tests before and after the travel activities. The results reported that students' heart rates were significantly lower after the forest travel activities than before. All domains of negative mood and anxiety decreased from the pre-test to the post-test. This study found that university students could feel less stressed if they went on forest travel activities.
Collapse
Affiliation(s)
- Wei-Yin Chang
- College of Forestry, Fujian Agriculture and Forestry University, Fujian, China
| | - Xin Wang
- College of Forestry, Fujian Agriculture and Forestry University, Fujian, China
| | - De-Sheng Guo
- College of Forestry, Fujian Agriculture and Forestry University, Fujian, China
| | - Lam-Huu-Phuoc Nguyen
- Graduate Institute of Science Education and Environmental Education, National Kaohsiung Normal University, Kaohsiung, Taiwan
| | - Ngoc-Huy Tran
- Graduate Institute of Science Education and Environmental Education, National Kaohsiung Normal University, Kaohsiung, Taiwan
| | - Shuai-Jie Yang
- College of Forestry, Fujian Agriculture and Forestry University, Fujian, China
| | - Hui-Zhong Lin
- Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hsiu-Chen Wu
- Department of Food and Beverage Management, Cheng Shiu University, Kaohsiung, Taiwan
| | - Chin-Fei Huang
- Graduate Institute of Science Education and Environmental Education, National Kaohsiung Normal University, Kaohsiung, Taiwan
| |
Collapse
|
3
|
Sato S, Hiratsuka T, Hasegawa K, Watanabe K, Obara Y, Kariya N, Shinba T, Matsui T. Screening for Major Depressive Disorder Using a Wearable Ultra-Short-Term HRV Monitor and Signal Quality Indices. SENSORS (BASEL, SWITZERLAND) 2023; 23:3867. [PMID: 37112208 PMCID: PMC10143236 DOI: 10.3390/s23083867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/06/2023] [Accepted: 04/07/2023] [Indexed: 06/19/2023]
Abstract
To encourage potential major depressive disorder (MDD) patients to attend diagnostic sessions, we developed a novel MDD screening system based on sleep-induced autonomic nervous responses. The proposed method only requires a wristwatch device to be worn for 24 h. We evaluated heart rate variability (HRV) via wrist photoplethysmography (PPG). However, previous studies have indicated that HRV measurements obtained using wearable devices are susceptible to motion artifacts. We propose a novel method to improve screening accuracy by removing unreliable HRV data (identified on the basis of signal quality indices (SQIs) obtained by PPG sensors). The proposed algorithm enables real-time calculation of signal quality indices in the frequency domain (SQI-FD). A clinical study conducted at Maynds Tower Mental Clinic enrolled 40 MDD patients (mean age, 37.5 ± 8.8 years) diagnosed on the basis of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and 29 healthy volunteers (mean age, 31.9 ± 13.0 years). Acceleration data were used to identify sleep states, and a linear classification model was trained and tested using HRV and pulse rate data. Ten-fold cross-validation showed a sensitivity of 87.3% (80.3% without SQI-FD data) and specificity of 84.0% (73.3% without SQI-FD data). Thus, SQI-FD drastically improved sensitivity and specificity.
Collapse
Affiliation(s)
- Shohei Sato
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| | - Takuma Hiratsuka
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| | - Kenya Hasegawa
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| | - Keisuke Watanabe
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| | - Yusuke Obara
- Maynds Tower Mental Clinic, Tokyo 151-0053, Japan
| | | | - Toshikazu Shinba
- Department of Psychiatry, Shizuoka Saiseikai General Hospital, Shizuoka 422-8527, Japan
- Research Division, Saiseikai Research Institute of Health Care and Welfare, Tokyo 108-0073, Japan
| | - Takemi Matsui
- Department of Electrical Engineering and Computer Science, Graduate School of System Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| |
Collapse
|
4
|
Durán Acevedo CM, Carrillo Gómez JK, Albarracín Rojas CA. Academic stress detection on university students during COVID-19 outbreak by using an electronic nose and the galvanic skin response. Biomed Signal Process Control 2021; 68:102756. [PMID: 36570516 PMCID: PMC9760229 DOI: 10.1016/j.bspc.2021.102756] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 03/02/2021] [Accepted: 05/09/2021] [Indexed: 12/27/2022]
Abstract
Academic stress is an emotion that students experience during their time at the university, sometimes causing physical and mental health effects. Because of the COVID-19 pandemic, universities worldwide have left the classroom to provide the method of teaching virtually, generating challenges, adaptations, and more stress in students. In this pilot study, a methodology for academic stress detection in engineering students at the University of Pamplona (Colombia) is proposed by developing and implementing an artificial electronic nose system and the galvanic skin response. For the study, the student's stress state and characteristics were taken into account to make the data analysis where a set of measurements were acquired when the students were presenting a virtual exam. Likewise, for the non-stress state, a set of measurements were obtained in a relaxation state after the exam date. To carry out the pre-processing and data processing from the measurements obtained previously by both systems, a set of algorithms developed in Python software were used to perform the data analysis. Linear Discriminant Analysis (LDA), K-Nearest Neighbors (K-NN), and Support Vector Machine (SVM) classification methods were applied for the data classification, where a 96 % success rate of classification was obtained with the E-nose, and 100 % classification was achieved by using the Galvanic Skin Response.
Collapse
|
5
|
Emotional state detection on mobility vehicle using camera: Feasibility and evaluation study. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
6
|
Electronic Devices for Stress Detection in Academic Contexts during Confinement Because of the COVID-19 Pandemic. ELECTRONICS 2021. [DOI: 10.3390/electronics10030301] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
This article studies the development and implementation of different electronic devices for measuring signals during stress situations, specifically in academic contexts in a student group of the Engineering Department at the University of Pamplona (Colombia). For the research’s development, devices for measuring physiological signals were used through a Galvanic Skin Response (GSR), the electrical response of the heart by using an electrocardiogram (ECG), the electrical activity produced by the upper trapezius muscle (EMG), and the development of an electronic nose system (E-nose) as a pilot study for the detection and identification of the Volatile Organic Compounds profiles emitted by the skin. The data gathering was taken during an online test (during the COVID-19 Pandemic), in which the aim was to measure the student’s stress state and then during the relaxation state after the exam period. Two algorithms were used for the data process, such as Linear Discriminant Analysis and Support Vector Machine through the Python software for the classification and differentiation of the assessment, achieving 100% of classification through GSR, 90% with the E-nose system proposed, 90% with the EMG system, and 88% success by using ECG, respectively.
Collapse
|
7
|
Spellenberg C, Heusser P, Büssing A, Savelsbergh A, Cysarz D. Binary symbolic dynamics analysis to detect stress-associated changes of nonstationary heart rate variability. Sci Rep 2020; 10:15440. [PMID: 32963263 PMCID: PMC7509783 DOI: 10.1038/s41598-020-72034-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 07/24/2020] [Indexed: 11/25/2022] Open
Abstract
Psychological stress may have harmful physiological effects and result in deteriorating health. Acute psychological stress acts also on cardiac autonomic regulation and may lead to nonstationarities in the interbeat interval series. We address the requirement of stationary RR interval series to calculate frequency domain parameters of heart rate variability (HRV) and use binary symbolic dynamics derived from RR interval differences to overcome this obstacle. 24 healthy subjects (12 female, 20–35 years) completed the following procedure: waiting period, Trier Social Stress Test to induce acute psychological stress, recovery period. An electrocardiogram was recorded throughout the procedure and HRV parameters were calculated for nine 5-min periods. Nonstationarities in RR interval series were present in all periods. During acute stress the average RR interval and SDNN decreased compared to rest before and after the stress test. Neither low frequency oscillations (LF), high frequency oscillations (HF) nor LF/HF could unambiguously reflect changes during acute stress in comparison to rest. Pattern categories derived from binary symbolic dynamics clearly identified acute stress and accompanying alterations of cardiac autonomic regulation. Methods based on RR interval differences like binary symbolic dynamics should be preferred to overcome issues related to nonstationarities.
Collapse
Affiliation(s)
- Conrad Spellenberg
- Medical Anthropology, Institute of Integrative Medicine, Witten/Herdecke University, Gerhard-Kienle-Weg 4, 58313, Herdecke, Germany.
| | - Peter Heusser
- Medical Anthropology, Institute of Integrative Medicine, Witten/Herdecke University, Gerhard-Kienle-Weg 4, 58313, Herdecke, Germany
| | - Arndt Büssing
- Medical Anthropology, Institute of Integrative Medicine, Witten/Herdecke University, Gerhard-Kienle-Weg 4, 58313, Herdecke, Germany.,Quality of Life, Spirituality and Coping, Institute of Integrative Medicine, Witten/Herdecke University, Herdecke, Germany
| | - Andreas Savelsbergh
- Division of Functional Genomics, Center for Biomedical Research and Education ZBAF, Witten/Herdecke University, Witten, Germany
| | - Dirk Cysarz
- Integrated Curriculum for Anthroposophic Medicine, Witten/Herdecke University, Herdecke, Germany.,Physiologic Rhythm Research, Witten/Herdecke University, Herdecke, Germany
| |
Collapse
|