Matching Items (7)

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Founders Lab: Calm Connection Biofeedback-Enhanced Study App

Description

Student academic performance has far-reaching implications not only on individual students but also the universities and colleges they attend. Student academic performance can affect their time in school as well

Student academic performance has far-reaching implications not only on individual students but also the universities and colleges they attend. Student academic performance can affect their time in school as well as their future earning potential, and colleges and universities have a shared interest in the academic performance and retention of their students as many state and federal funding opportunities consider these metrics when allocating taxpayer dollars. To assist in the mutual desire for students to succeed, the Calm Connection start-up venture formed with the goal of integrating biofeedback therapy with a student’s unique education needs. For students, one of the largest barriers to effective learning is issues of focus and information retention, and the repeated use of biofeedback therapy trains students to overcome these focus issues and works in conjunction with our app’s study aid and scheduling ability.

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Created

Date Created
  • 2021-05

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Founders Lab: Calm Connection Biofeedback-Enhanced Study App

Description

Student academic performance has far-reaching implications not only on individual students but also the universities and colleges they attend. Student academic performance can affect their time in school as well

Student academic performance has far-reaching implications not only on individual students but also the universities and colleges they attend. Student academic performance can affect their time in school as well as their future earning potential, and colleges and universities have a shared interest in the academic performance and retention of their students as many state and federal funding opportunities consider these metrics when allocating taxpayer dollars. To assist in the mutual desire for students to succeed, the Calm Connection start-up venture formed with the goal of integrating biofeedback therapy with a student’s unique education needs. For students, one of the largest barriers to effective learning is issues of focus and information retention, and the repeated use of biofeedback therapy trains students to overcome these focus issues and works in conjunction with our app’s study aid and scheduling ability.

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Agent

Created

Date Created
  • 2021-05

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Founder’s Lab: Calm Connection Biofeedback-Enhanced Study App

Description

Student academic performance has far-reaching implications, such as lifetime earnings potential, that are beyond the immediate impact it may have on any individual student (Bureau of Labor Statistics [BLS], 2019).

Student academic performance has far-reaching implications, such as lifetime earnings potential, that are beyond the immediate impact it may have on any individual student (Bureau of Labor Statistics [BLS], 2019). Colleges and universities also have a shared interest in the retention of their students as a poor reputation can depress enrollment and tarnish their brand. Public institutions have an especially large incentive for student success as many state and federal funding opportunities consider student retention and performance when allocating taxpayer dollars (Li, 2018). To assist in the mutual desire for students to succeed, the Calm Connection start-up venture formed with the goal of seamlessly integrating biofeedback therapy with a student’s unique education needs. Forming the foundation of the resulting Calm Connection app is software patented by NASA which allows for the collection and manipulation of biofeedback monitoring data on mobile devices with distinguishing features such as geolocation. For students, one of the largest barriers to effective learning is issues of focus and information retention, whether due to problems at home, conditions such as ADHD, or the high prevalence of test anxiety among students (Committee on Psychosocial Aspects of Child and Family Health et al., 2012). The repeated use of biofeedback therapy trains students to overcome these focus issues and works in conjunction with our app’s study aid and scheduling ability (Henriques et al., 2011). Among those surveyed and participants in follow-up focus groups, the Calm Connection app and its use of biofeedback monitoring has generated much interest and documented traction.

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Created

Date Created
  • 2021-05

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Optimizing Biofeedback and Learning in an EEG-Based Brain-Computer Interface

Description

Brain-computer interface technology establishes communication between the brain and a computer, allowing users to control devices, machines, or virtual objects using their thoughts. This study investigates optimal conditions to facilitate

Brain-computer interface technology establishes communication between the brain and a computer, allowing users to control devices, machines, or virtual objects using their thoughts. This study investigates optimal conditions to facilitate learning to operate this interface. It compares two biofeedback methods, which dictate the relationship between brain activity and the movement of a virtual ball in a target-hitting task. Preliminary results indicate that a method in which the position of the virtual object directly relates to the amplitude of brain signals is most conducive to success. In addition, this research explores learning in the context of neural signals during training with a BCI task. Specifically, it investigates whether subjects can adapt to parameters of the interface without guidance. This experiment prompts subjects to modulate brain signals spectrally, spatially, and temporally, as well differentially to discriminate between two different targets. However, subjects are not given knowledge regarding these desired changes, nor are they given instruction on how to move the virtual ball. Preliminary analysis of signal trends suggests that some successful participants are able to adapt brain wave activity in certain pre-specified locations and frequency bands over time in order to achieve control. Future studies will further explore these phenomena, and future BCI projects will be advised by these methods, which will give insight into the creation of more intuitive and reliable BCI technology.

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Date Created
  • 2014-05

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Performing embodiment: negotiating the body in the electroencephalographic music of David Rosenboom

Description

Beneath the epidermis, the human body contains a vibrant and complex ecology of interwoven rhythms such the heartbeat, the breath, the division of cells, and complex brain activity. By repurposing

Beneath the epidermis, the human body contains a vibrant and complex ecology of interwoven rhythms such the heartbeat, the breath, the division of cells, and complex brain activity. By repurposing emergent medical technology into real-time gestural sound controllers of electronic musical instruments, experimental musicians in the 1960s and 1970s – including David Rosenboom – began to realize the expressive potential of these biological sounds. Composers experimented with breath and heartbeat. They also used electroencephalography (EEG) sensors, which register various types of brain waves. Instead of using the sound of brain waves in fixed-media pieces, many composers took diverse approaches to the challenge of presenting this in live performance. Their performance practices suggest different notions of embodiment, a relationship in this music which has not been discussed in detail.

Rosenboom reflects extensively on this performance practice. He supports his EEG research with theory about the practice of biofeedback. Rosenboom’s work with EEG sensors spans several decades and continue today, which has allowed him to make use of advancing sensing and computing technologies. For instance, in his 1976 On Being Invisible, the culmination of his work with EEG, he makes use of analyzed EEG data to drive a co-improvising musical system.

In this thesis, I parse different notions of embodiment in the performance of EEG music. Through a critical analysis of examples from the discourse surrounding EEG music in its early years, I show that cultural perception of EEG sonification points to imaginative speculations about the practice’s potentials; these fantasies have fascinating ramifications on the role of the body in this music’s performance. Juxtaposing these with Rosenboom, I contend that he cultivated an embodied performance practice of the EEG. To show how this might be manifest in performance, I consider two recordings of On Being Invisible.

As few musicologists have investigated this particular strain of musical experimentalism, I hope to contextualize biofeedback musicianship by offering an embodied reading of this milestone work for EEG.

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Created

Date Created
  • 2015

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Adaptive biofeedback with signal processing and biosensors in mobile health

Description

Advances in miniaturized sensors and wireless technologies have enabled mobile health systems for efficient healthcare. A mobile health system assists the physician to monitor the patient's progress remotely and provide

Advances in miniaturized sensors and wireless technologies have enabled mobile health systems for efficient healthcare. A mobile health system assists the physician to monitor the patient's progress remotely and provide quick feedbacks and suggestions in case of emergencies, which reduces the cost of healthcare without the expense of hospitalization. This work involves development of an innovative mobile health system with adaptive biofeedback mechanism and demonstrates the importance of biofeedback in accurate measurements of physiological parameters to facilitate the diagnosis in mobile health systems. Resting Metabolic Rate (RMR) assessment, a key aspect in the treatment of diet related health problems is considered as a model to demonstrate the importance of adaptive biofeedback in mobile health. A breathing biofeedback mechanism has been implemented with digital signal processing techniques for real-time visual and musical guidance to accurately measure the RMR. The effects of adaptive biofeedback with musical and visual guidance were assessed on 22 healthy subjects (12 men, 10 women). Eight RMR measurements were taken for each subject on different days under same conditions. It was observed the subjects unconsciously followed breathing biofeedback, yielding consistent and accurate measurements for the diagnosis. The coefficient of variation of the measured metabolic parameters decreased significantly (p < 0.05) for 20 subjects out of 22 subjects.

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Created

Date Created
  • 2012

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Evaluation of a biofeedback intervention in college students diagnosed with autism spectrum disorders

Description

This study used exploratory data analysis (EDA) to examine the use of a biofeedback intervention in the treatment of anxiety for college students diagnosed with an Autism Spectrum Disorder (ASD)

This study used exploratory data analysis (EDA) to examine the use of a biofeedback intervention in the treatment of anxiety for college students diagnosed with an Autism Spectrum Disorder (ASD) (n=10) and in a typical college population (n=37). The use of EDA allowed for trends to emerge from the data and provided a foundation for future research in the areas of biofeedback and accommodations for college students with ASD. Comparing the first five weeks of the study with the second five weeks of the 10 week study, both groups showed improvement in their control of heart rate variability, a physiological marker for anxiety used in biofeedback. The ASD group showed greater gains, more consistent gains, and less variability in raw scores than the typical group. EDA also revealed a pattern between participant attrition and a participant's biofeedback progress. Implications are discussed.

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Created

Date Created
  • 2013