Bubble Beats

Hu, Yajing; Zhao, Yijun; Shao, Yaping; Zhu, Chen; Chen, Jiayan; Shi, Tianlei; Zhou, Zili; Ying, Fangtian; Wang, Guanyun

doi:10.1145/3459990.3465207

Cited by 5 publications

(8 citation statements)

References 14 publications

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“…Respiration signals were collected by most of the reviewed studies, and they assessed data like lung function [ 5 , 36 , 42 ], lung volume [ 8 , 28 ], expansion [ 6 , 40 ], and breathing force [ 48 ]. Further, respiration signals were used to calculate physiological data, such as RR [ 8 , 27 , 28 , 30 , 32 , 33 , 35 , 38 - 40 , 45 , 49 , 50 ], and exhalation and inhalation durations [ 8 , 39 ], while accelerometer data were used to identify participants’ chest movements [ 40 ]. Moreover, EEG data were collected by researchers to reflect participants’ brain activity [ 29 , 38 ].…”

Section: Resultsmentioning

confidence: 99%

“…The search results for biofeedback equipment are presented in Table 4 . Impressively, only 4 of the 32 studies developed their own systems [ 35 , 43 , 46 , 48 ]. Heng et al [ 43 ] developed a breathing input sensor consisting of Arduino Uno, a Rev C. Wind Sensor chip, and an ESP8266 ESP-01S Wi-Fi module.…”

Section: Resultsmentioning

confidence: 99%

“…Finally, ESP-01S communicates with the system software through a WebSocket protocol. Moreover, Hu et al [ 35 ] used the same Arduino Uno board as mentioned above but with a different sensor. A gas pressure sensor (XGZP6857A) was applied for respiratory measurements.…”

Section: Resultsmentioning

confidence: 99%

“…The sample, study design, objective, and intervention of each study are presented in Table 2. Of the 32 studies, 24 involved healthy individuals [6,8,10,24,26,[28][29][30][31][32][33][34][35][36][37][38]40,41,[43][44][45][46][47][48], 1 involved individuals at high risk of developing anxiety disorders [39], 1 involved patients with lung cancer [7], 1 involved patients with pneumonia [49], 2 involved patients with COPD [27,42], 2 involved patients with COVID-19 [49,50], and 1 involved patients with asthma [5]. The breathing exercises were mostly related to breathing therapy (9/32) [5,6,10,25,27,33,48,49,54] and anxiety management (13/32) [8,28,29,32,34,…”

Section: Objectives Study Design and Interventionsmentioning

confidence: 99%

“…Oculus Quest [75] Not reported Feinberg et al [47], 2022 Nexus 6P smartphone [76] Zephyr BioHarness chest strap [72] Gummidela et al [45], 2022 Unspecified apparatus Arduino Uno [77], Rev C. Wind Sensor chip ESP8266 [78], and ESP-01S Wi-Fi module [79] Heng et al [43], 2020 Unspecified apparatus Arduino Uno [77], gas pressure sensor (XGZP6857A) [80], and voltage conversion module [81] Hu et al [35], 2021 VR headset by Pico Interactive Goblin [83] Nonin 3150 probe [82] Jung et al [27], 2020…”

Section: Biofeedback Equipmentmentioning

confidence: 99%

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Virtual Reality for Pulmonary Rehabilitation: Comprehensive Review

Pittara¹,

Matsangidou²,

Petkov³

et al. 2023

JMIR Rehabil Assist Technol

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Background Pulmonary rehabilitation is a vital component of comprehensive care for patients with respiratory conditions, such as lung cancer, chronic obstructive pulmonary disease, and asthma, and those recovering from respiratory diseases like COVID-19. It aims to enhance patients’ functional ability and quality of life, and reduce symptoms, such as stress, anxiety, and chronic pain. Virtual reality is a novel technology that offers new opportunities for customized implementation and self-control of pulmonary rehabilitation through patient engagement. Objective This review focused on all types of virtual reality technologies (nonimmersive, semi-immersive, and fully immersive) that witnessed significant development and were released in the field of pulmonary rehabilitation, including breathing exercises, biofeedback systems, virtual environments for exercise, and educational models. Methods The review screened 7 electronic libraries from 2010 to 2023. The libraries were ACM Digital Library, Google Scholar, IEEE Xplore, MEDLINE, PubMed, Sage, and ScienceDirect. Thematic analysis was used as an additional methodology to classify our findings based on themes. The themes were virtual reality training, interaction, types of virtual environments, effectiveness, feasibility, design strategies, limitations, and future directions. Results A total of 2319 articles were identified, and after a detailed screening process, 32 studies were reviewed. Based on the findings of all the studies that were reviewed (29 with a positive label and 3 with a neutral label), virtual reality can be an effective solution for pulmonary rehabilitation in patients with lung cancer, chronic obstructive pulmonary disease, and asthma, and in individuals and children who are dealing with mental health–related disorders, such as anxiety. The outcomes indicated that virtual reality is a reliable and feasible solution for pulmonary rehabilitation. Interventions can provide immersive experiences to patients and offer tailored and engaging rehabilitation that promotes improved functional outcomes of pulmonary rehabilitation, breathing body awareness, and relaxation breathing techniques. Conclusions The identified studies on virtual reality in pulmonary rehabilitation showed that virtual reality holds great promise for improving the outcomes and experiences of patients. The immersive and interactive nature of virtual reality interventions offers a new dimension to traditional rehabilitation approaches, providing personalized exercises and addressing psychological well-being. However, additional research is needed to establish standardized protocols, identify the most effective strategies, and evaluate long-term benefits. As virtual reality technology continues to advance, it has the potential to revolutionize pulmonary rehabilitation and significantly improve the lives of patients with chronic lung diseases.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Objectives Study Design and Interventionsmentioning

confidence: 99%

Section: Biofeedback Equipmentmentioning

confidence: 99%

See 3 more Smart Citations

Virtual Reality for Pulmonary Rehabilitation: Comprehensive Review

Pittara¹,

Matsangidou²,

Petkov³

et al. 2023

JMIR Rehabil Assist Technol

View full text Add to dashboard Cite

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MyWay: a 3D and audio-enhanced transportation learning kit for the visually impaired teenagers

Gu,

Li,

Cai

et al. 2024

CCF Trans. Pervasive Comp. Interact.

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Apps for ADHD Management: A Scoping Review

Capistrán,

Alor-Hernández,

Sánchez-Morales

et al. 2023

Preprint

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Background Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder diagnosed using DSM-5 (Diagnostic and Statistical Manual of Mental Disorders) criteria. Medications are the primary treatment, leading to the emergence of mobile apps as alternative solutions to support people with ADHD. Purpose This review uses the Arksey and O'Malley scoping framework to assess mobile apps for ADHD. It examines their characteristics, target users, treatment modalities, treatment techniques, gamification elements, and medical support. Methods We searched for relevant records published within the 2013–2023 period in eight digital libraries and explored two virtual app stores (Google Play Store and Apple’s App Store). We found 1,562 potentially relevant apps, 63 of which were analyzed in the review. The apps were categorized as either commercial or non-commercial and further divided into video game and non-video game apps. The study revolved around six research questions. Results The majority (27%) of ADHD apps promote cognitive treatment, while 16% clinical diagnosis aid. The prioritized treatment techniques are cognitive (15.5%) and executive functions (10.85%) techniques. Only two of the 35 commercial apps are medically endorsed. Levels and statistics are the most popular gamification elements. Conclusions The study demonstrates the wide availability of mental health apps catering to individuals diagnosed with ADHD as well as parents and caregivers. Furthermore, it highlights various areas for future research and development, aiming to facilitate the integration of digital health interventions, particularly mobile apps, to aid in the diagnosis and treatment of ADHD.

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Bubble Beats

Cited by 5 publications

References 14 publications

Virtual Reality for Pulmonary Rehabilitation: Comprehensive Review

Virtual Reality for Pulmonary Rehabilitation: Comprehensive Review

MyWay: a 3D and audio-enhanced transportation learning kit for the visually impaired teenagers

Apps for ADHD Management: A Scoping Review

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