Article
Computer Science, Artificial Intelligence
Avinash Parnandi, Ricardo Gutierrez-Osuna
Summary: This study investigates the impact of reinforcement schedules on biofeedback games for stress self-regulation, with findings showing that partial reinforcement can improve resistance to the extinction of relaxation behaviors, and participants under partial reinforcement learn to slow their breathing at the same pace as those under continuous reinforcement.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Partha Sarati Das, Hasnet Eftakher Uddin Ahmed, Fatemeh Motaghedi, Nicholas J. Lester, Abdelrahman Khalil, Mohammad Al Janaideh, Syed Anees, Tricia Breen Carmichael, Anthony R. Bain, Simon Rondeau-Gagne, Mohammed Jalal Ahamed
Summary: This article presents a multisensor patch designed to detect and recognize signals produced by human breathing in response to different body movements. The patch, consisting of an accelerometer and a pressure sensor, accurately measures breathing-related motion and muscle stretch when placed near the diaphragm. The use of commercially available electronic components makes the patch relatively inexpensive. The proposed multisensor patch has the potential to be used in medical applications for early detection of respiratory changes and can provide more reliable and less cumbersome breathing pattern identification than traditional measures.
IEEE SENSORS JOURNAL
(2023)
Article
Physiology
Aravind Natarajan
Summary: This study focuses on Heart Rate Variability (HRV) measured during mindful breathing meditation. Two commonly used HRV metrics, root mean square of successive differences (RMSSD) and standard deviation of RR intervals (SDRR), are computed in terms of Fourier components. The study finds that RMSSD preferentially weights higher frequency Fourier modes, making it unsuitable for mindful breathing meditation which emphasizes slow breathing. A new metric called the autonomic balance index (ABI) is proposed, which uses Respiratory Sinus Arrhythmia to quantify the contribution of the parasympathetic nervous system to HRV. The study applies this metric to HRV data collected during two different meditation techniques and shows that the autonomic balance index is significantly elevated during mindful breathing, making it a good signal for biofeedback during meditation sessions.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Computer Science, Information Systems
Xiaozhen Ye, Huansheng Ning, Per Backlund, Jianguo Ding
Summary: Research has shown the potential of understanding game user experience by measuring psychophysiological responses, leading to the development of classification models and strategies to effectively detect flow experience. The proposed methodologies demonstrated high accuracy in classifying flow states, underlining the significance of physiological signals in improving game user experience assessment.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Muhammad Umair, Niaz Chalabianloo, Corina Sas, Cem Ersoy
Summary: This study used a mixed-methods approach to compare data quality and user acceptance of six common wearable heart rate monitoring biosensors. Results showed that ECG chest straps performed the best in terms of correlation and agreement, while wrist-worn devices had lower levels of agreement and correlation with the reference device. Participants preferred wrist and arm-worn devices for aesthetics, wearability, and comfort, but mentioned concerns about social judgment with chest-worn devices.
Article
Psychology, Clinical
Andrea C. Kramer, Andreas B. Neubauer, Florian Schmiedek
Summary: Breathing exercises have been proposed as an effective intervention to improve subjective well-being and manage anxiety symptoms. A micro-randomized trial conducted in children's daily life found that the immediate effects of slow-paced diaphragmatic breathing on negative affect and relaxation were not significant, but the breathing exercise did enhance relaxation in situations when children reported higher levels of worries than usual.
JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY
(2022)
Article
Psychology, Multidisciplinary
Uirassu Borges, Babett Lobinger, Florian Javelle, Matthew Watson, Emma Mosley, Sylvain Laborde
Summary: The COVID-19 pandemic has negatively impacted the sporting world, including athletes' physiological and psychological health. Slow-paced breathing intervention can improve aerobic endurance, emotional well-being, and sleep quality among athletes, with potential preventive and rehabilitative properties. Further empirical studies are needed to explore the full potential of slow-paced breathing for this specific population.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Nicholas J. Held, Andrew S. Perrotta, Tyler Mueller, Selina J. Pfoh-MacDonald
Summary: This study examined the association and level of agreement between criterion methods and the Apple Watch 4 and Fitbit Charge 3 for recording step count and heart rate when exercising in water. The results showed significant associations between these devices and the criterion methods, indicating a reasonable level of agreement.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Health Care Sciences & Services
Egle Mazgelyte, Virginija Rekiene, Edita Dereskeviciute, Tomas Petrenas, Jurgita Songailiene, Algirdas Utkus, Gintaras Chomentauskas, Dovile Karciauskaite
Summary: This study compared the effectiveness of VR-based biofeedback-assisted relaxation techniques, finding that all techniques were effective in reducing stress indicators. Additionally, three out of the four interventions led to decreased levels of perceived fatigue. This suggests that VR-based relaxation techniques have the potential to be valuable tools for stress reduction.
Article
Physiology
Gaeelle Prigent, Salil Apte, Anisoara Paraschiv-Ionescu, Cyril Besson, Vincent Gremeaux, Kamiar Aminian
Summary: Understanding the influence of running-induced acute fatigue on the body's homeostasis is crucial for optimizing training outcomes. This study examined the evolution of biomechanical, physiological, and psychological facets during a half-marathon race and found significant alterations in gait, heart rate, and perceived fatigue. Faster runners demonstrated better physiological judgment and greater sensitivity to neuromuscular changes in running gait.
FRONTIERS IN PHYSIOLOGY
(2022)
Review
Chemistry, Analytical
Erik Vavrinsky, Niloofar Ebrahimzadeh Esfahani, Michal Hausner, Anton Kuzma, Vratislav Rezo, Martin Donoval, Helena Kosnacova
Summary: Optical sensors are increasingly important in medical diagnostic devices, offering excellent metrological properties, immunity to electromagnetic interference, and electrical safety. Their use enables better continuous diagnostics and the development of telemedicine.
Article
Computer Science, Information Systems
Paola Cesari, Matteo Cristani, Florenc Demrozi, Francesco Pascucci, Pietro Maria Picotti, Graziano Pravadelli, Claudio Tomazzoli, Cristian Turetta, Tewabe Chekole Workneh, Luca Zenti
Summary: This project aims to use wearable devices to provide feedback for gait and posture improvement in order to be applied in sports performance or motor impairment rehabilitation. The project is divided into three parts, providing experimental protocols, a biofeedback strategy, and algorithmic processing to customize the feedback based on performance conditions. Preliminary results showed that the proposed methodology accurately recognized different phases of motor tasks.
Article
Psychology, Multidisciplinary
Jan C. Brammer, Jacobien M. van Peer, Abele Michela, Marieke M. J. W. van Rooij, Robert Oostenveld, Floris Klumpers, Wendy Dorrestijn, Isabela Granic, Karin Roelofs
Summary: This project developed a stress-exposure biofeedback training in virtual reality for the Dutch police, aiming to facilitate physiological stress regulation during demanding tasks and reduce the negative impact of stress on performance and mental health. Challenges include real-time processing of noisy biosignals and multi-tasking from a user-experience perspective.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Chemistry, Analytical
Chiara Romano, Andrea Nicolo, Lorenzo Innocenti, Marco Bravi, Sandra Miccinilli, Silvia Sterzi, Massimo Sacchetti, Emiliano Schena, Carlo Massaroni
Summary: Emerging evidence suggests that respiratory frequency is a valid marker of physical effort, leading to the interest in developing devices for monitoring this vital sign. This study proposes the use of a microphone embedded in a facemask to estimate respiratory frequency from breath sounds during walking and running. The results show relatively good agreement between the proposed system and the reference system, indicating that microphone sensors can be considered suitable for estimating respiratory frequency during exercise.
Article
Psychology, Clinical
I-Mei Lin, Ting-Chun Chen, Hsin-Yi Tsai, Sheng-Yu Fan
Summary: Heart rate variability biofeedback (HRVB) combined with a wearable device can significantly increase HRV indices and decrease breathing rates after 4 weeks of training. Three weeks of HRVB training is the minimum requirement for improving HRV indices and reducing breathing rates.
APPLIED PSYCHOPHYSIOLOGY AND BIOFEEDBACK
(2023)
Article
Acoustics
Mostafa Shahin, Beena Ahmed
SPEECH COMMUNICATION
(2019)
Article
Engineering, Electrical & Electronic
Mostafa Shahin, Usman Zafar, Beena Ahmed
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
(2020)
Article
Oncology
Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca-Martinez, Bilal Malik, Kristen C. Maitland, Y. S. Lisa Cheng, John Wright, Beena Ahmed, Jim Ji, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Javier A. Jo
Article
Audiology & Speech-Language Pathology
Jacqueline McKechnie, Beena Ahmed, Ricardo Gutierrez-Osuna, Elizabeth Murray, Patricia McCabe, Kirrie J. Ballard
JOURNAL OF COMMUNICATION DISORDERS
(2020)
Article
Computer Science, Information Systems
Kayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Yi-Shing Lisa Cheng, John Wright, Javier A. Jo, Carlos Busso
Summary: Deep learning approaches for medical image analysis are limited by small data set size due to factors such as patient privacy and difficulties in obtaining expert labelling for each image. In this study, we propose a novel method that adds a domain adaptation module to a neural network and trains it using multiple data sets to overcome the limitation. Our approach successfully increases the performance of the model, including a significant improvement in specificity. It lays the foundation for faster development of computer-aided diagnostic systems and provides a feasible approach for aligning images from multiple data centers in the presence of domain shifts.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Audiology & Speech-Language Pathology
Sharynne McLeod, Grace Kelly, Beena Ahmed, Kirrie J. Ballard
Summary: This study evaluated the effectiveness of SayBananas!, a Mario-style mobile game that provides Australian children with high-dose individualized speech therapy practice. The results showed that most participants were highly engaged with the game and made significant improvements in their treated words and speech production after the intervention. The families also provided high ratings for the game.
INTERNATIONAL JOURNAL OF SPEECH-LANGUAGE PATHOLOGY
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Dai Yang, Tilman Kuestner, Rami Al-Rihawi, Martin Schulz
PARALLEL COMPUTING: TECHNOLOGY TRENDS
(2020)
Proceedings Paper
Computer Science, Cybernetics
Lamana Mulaffer, M. Abdullah Zafar, Beena Ahmed
2019 IEEE 7TH INTERNATIONAL CONFERENCE ON SERIOUS GAMES AND APPLICATIONS FOR HEALTH (SEGAH)
(2019)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Yilun You, Beena Ahmed, Polly Barr, Kirrie Ballard, Michael Valenzuela
2019 IEEE HEALTHCARE INNOVATIONS AND POINT OF CARE TECHNOLOGIES (HI-POCT)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Adam Hair, Kirrie J. Ballard, Beena Ahmed, Ricardo Gutierrez-Osuna
ASSETS'19: THE 21ST INTERNATIONAL ACM SIGACCESS CONFERENCE ON COMPUTERS AND ACCESSIBILITY
(2019)
Proceedings Paper
Education, Scientific Disciplines
Beena Ahmed, Mohan Kagita, Chamith Abewardana Wijenayake, Jayashri Ravishankar
PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (TALE)
(2018)
Proceedings Paper
Education, Scientific Disciplines
Chamith Wijenayake, Will Gilbert, Simon Van Winden, Beena Ahmed
PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (TALE)
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Mostafa Shahin, Beena Ahmed, Jim X. Ji, Kirrie Ballard
19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES
(2018)