Biofeedback-Based Connected Mental Health Interventions for Anxiety: Systematic Literature Review.
Biofeedback-Based Connected Mental Health Interventions for Anxiety: Systematic Literature Review.
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DOI：
10.2196/26038
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发表时间：
2021-04-22
影响因子：
5
通讯作者：
Ouhbi S
中科院分区：
文献类型：
--
作者：
Alneyadi M;Drissi N;Almeqbaali M;Ouhbi S
互联心理健康指的是利用技术进行心理保健和基于技术的治疗解决方案，已成为一个既定的研究领域。生物反馈是互联心理健康解决方案中使用的方法之一，主要是基于生理指标的分析，对心理状态进行评估和管理。许多治疗师都推荐生物反馈，并将其用于治疗抑郁、失眠和焦虑等疾病。焦虑与几种生理症状有关，包括肌肉紧张和呼吸问题，这使得生物反馈对焦虑的检测和管理很有用。本研究的目的是确定使用生物反馈作为焦虑管理过程的一部分的干预措施，并调查其感知有效性。系统的文献综述发表了经验评估的生物反馈为基础的干预焦虑进行了。系统文献综述基于从IEEE数字图书馆、PubMed、ScienceDirect和Scopus检索的出版物。初步选择的论文被确定、审查和过滤，只包括相关的出版物。对最终选择的研究进行分类和分析，以提取在确定的干预措施中使用生物反馈的方式，收集和分析的生理数据类型以及用于收集这些数据的传感器。提取了实证评价的过程和结果。在最后的选择之后，我们调查了13篇提出不同干预措施的出版物。这些干预措施主要针对焦虑症或与健康问题相关的焦虑，如偏头痛、帕金森病和风湿病。解决方案将生物反馈与其他技术结合起来，包括虚拟现实、音乐疗法、游戏和放松练习，并使用不同的传感器，包括心血管带、手腕传感器或拉伸传感器来收集心率、呼吸指标和运动信息等生理数据。干预措施针对不同的人群，包括儿童、学生和患者。总体而言，经验性评估的结果产生了积极的结果，并强调了使用生物反馈治疗焦虑的相关心理健康解决方案的有效性；然而，在针对有特定身体健康问题的患者的研究中，报告了某些不利的结果，例如对焦虑没有影响的干预措施和患者更喜欢传统疗法。在治疗和管理焦虑的相关心理健康干预措施中使用生物反馈，可以更好地筛选和了解患者的心理和生理信息，以及两者之间的关联。纳入生物反馈可以改善干预的结果并提高其有效性；然而，当与患有某些身体健康问题的患者一起使用时，需要进行适应性调查。
Connected mental health, which refers to the use of technology for mental health care and technology-based therapeutic solutions, has become an established field of research. Biofeedback is one of the approaches used in connected mental health solutions, which is mainly based on the analysis of physiological indicators for the assessment and management of the psychological state. Biofeedback is recommended by many therapists and has been used for conditions including depression, insomnia, and anxiety. Anxiety is associated with several physiological symptoms, including muscle tension and breathing issues, which makes the inclusion of biofeedback useful for anxiety detection and management. The aim of this study was to identify interventions using biofeedback as a part of their process for anxiety management and investigate their perceived effectiveness. A systematic literature review of publications presenting empirically evaluated biofeedback-based interventions for anxiety was conducted. The systematic literature review was based on publications retrieved from IEEE Digital Library, PubMed, ScienceDirect, and Scopus. A preliminary selection of papers was identified, examined, and filtered to include only relevant publications. Studies in the final selection were classified and analyzed to extract the modalities of use of biofeedback in the identified interventions, the types of physiological data that were collected and analyzed and the sensors used to collect them. Processes and outcomes of the empirical evaluations were also extracted. After final selection, 13 publications presenting different interventions were investigated. The interventions addressed either primarily anxiety disorders or anxiety associated with health issues such as migraine, Parkinson disease, and rheumatology. Solutions combined biofeedback with other techniques including virtual reality, music therapy, games, and relaxation practices and used different sensors including cardiovascular belts, wrist sensors, or stretch sensors to collect physiological data such as heart rate, respiration indicators, and movement information. The interventions targeted different cohorts including children, students, and patients. Overall, outcomes from the empirical evaluations yielded positive results and emphasized the effectiveness of connected mental health solutions using biofeedback for anxiety; however, certain unfavorable outcomes, such as interventions not having an effect on anxiety and patients’ preferring traditional therapy, were reported in studies addressing patients with specific physical health issues. The use of biofeedback in connected mental health interventions for the treatment and management of anxiety allows better screening and understanding of both psychological and physiological patient information, as well as of the association between the two. The inclusion of biofeedback could improve the outcome of interventions and boost their effectiveness; however, when used with patients suffering from certain physical health issues, suitability investigations are needed.
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影响因子：
3.7
作者：
Ebert DD;Zarski AC;Christensen H;Stikkelbroek Y;Cuijpers P;Berking M;Riper H
通讯作者：
Riper H
影响因子：
3.6
作者：
Botella, C.;Garcia-Palacios, A.;Riva, G.
通讯作者：
Riva, G.
影响因子：
7.4
作者：
Gaggioli A;Pallavicini F;Morganti L;Serino S;Scaratti C;Briguglio M;Crifaci G;Vetrano N;Giulintano A;Bernava G;Tartarisco G;Pioggia G;Raspelli S;Cipresso P;Vigna C;Grassi A;Baruffi M;Wiederhold B;Riva G
通讯作者：
Riva G
严重的游戏和心理健康游戏化：当前状态和有前途的方向。
影响因子：
4.7
作者：
Fleming TM;Bavin L;Stasiak K;Hermansson-Webb E;Merry SN;Cheek C;Lucassen M;Lau HM;Pollmuller B;Hetrick S
通讯作者：
Hetrick S
影响因子：
2.1
作者：
Hung, Jen-Wen;Yu, Min-Yuan;Chen, Po-Chih
通讯作者：
Chen, Po-Chih