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Boyla Octavie Mainsah

Assistant Research Professor in the Department of Pierre R. Lamond Department of Electrical and Computer Engineering
Pierre R. Lamond Department of Electrical and Computer Engineering

Scholarly Works - Journal articles


Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart.

Journal article JACC Basic Transl Sci · May 2024 The adult mammalian heart harbors minute levels of cycling cardiomyocytes (CMs). Large numbers of images are needed to accurately quantify cycling events using microscopy-based methods. CardioCount is a new deep learning-based pipeline to rigorously score ... Full text Link to item Cite

Objective intelligibility measurement of reverberant vocoded speech for normal-hearing listeners: Towards facilitating the development of speech enhancement algorithms for cochlear implants.

Journal article The Journal of the Acoustical Society of America · March 2024 Cochlear implant (CI) recipients often struggle to understand speech in reverberant environments. Speech enhancement algorithms could restore speech perception for CI listeners by removing reverberant artifacts from the CI stimulation pattern. Listening st ... Full text Cite

Parameter tuning of time-frequency masking algorithms for reverberant artifact removal within the cochlear implant stimulus.

Journal article Cochlear implants international · November 2022 Cochlear implant recipients struggle to understand speech in reverberant environments. To restore speech perception, artifacts due to reverberant reflections can be removed from the cochlear implant stimulus by applying a matrix of gain values, a technique ... Full text Cite

Heart Sound Analysis in Individuals Supported With Left Ventricular Assist Devices.

Journal article IEEE Trans Biomed Eng · October 2021 OBJECTIVE: LVADs are surgically implanted mechanical pumps that improve survival rates of individuals with advanced heart failure. LVAD therapy is associated with high morbidity, which can be partially attributed to challenges with detecting LVAD complicat ... Full text Link to item Cite

Psychophysiological Markers of Performance and Learning during Simulated Marksmanship in Immersive Virtual Reality.

Journal article J Cogn Neurosci · June 1, 2021 The fusion of immersive virtual reality, kinematic movement tracking, and EEG offers a powerful test bed for naturalistic neuroscience research. Here, we combined these elements to investigate the neuro-behavioral mechanisms underlying precision visual-mot ... Full text Link to item Cite

Novel Acoustic Biomarker of Quality of Life in Left Ventricular Assist Device Recipients.

Journal article J Am Heart Assoc · March 16, 2021 Background Although technological advances to pump design have improved survival, left ventricular assist device (LVAD) recipients experience variable improvements in quality of life. Methods for optimizing LVAD support to improve quality of life are neede ... Full text Link to item Cite

Acoustic Signatures of Left Ventricular Assist Device Thrombosis.

Journal article J Eng Sci Med Diagn Ther · May 2019 Left ventricular assist devices (LVADs) are life-saving, surgically implanted mechanical heart pumps used to treat patients with advanced heart failure (HF). While life-saving, LVAD support is associated with a high incidence of complications, making early ... Full text Link to item Cite

Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.

Journal article Journal of neural engineering · August 2017 ObjectiveThe role of a brain-computer interface (BCI) is to discern a user's intended message or action by extracting and decoding relevant information from brain signals. Stimulus-driven BCIs, such as the P300 speller, rely on detecting event-rel ... Full text Cite

Using the detectability index to predict P300 speller performance.

Journal article Journal of neural engineering · December 2016 ObjectiveThe P300 speller is a popular brain-computer interface (BCI) system that has been investigated as a potential communication alternative for individuals with severe neuromuscular limitations. To achieve acceptable accuracy levels for commu ... Full text Cite

Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.

Journal article IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · September 2015 P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communication tool is reliant on high P300 classification accuracies ( > 70%) to account for error revisions. Error-r ... Full text Cite

Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.

Journal article Journal of neural engineering · February 2015 ObjectiveThe P300 speller is a brain-computer interface (BCI) that can possibly restore communication abilities to individuals with severe neuromuscular disabilities, such as amyotrophic lateral sclerosis (ALS), by exploiting elicited brain signal ... Full text Cite

Utilizing a language model to improve online dynamic data collection in P300 spellers.

Journal article IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · July 2014 P300 spellers provide a means of communication for individuals with severe physical limitations, especially those with locked-in syndrome, such as amyotrophic lateral sclerosis. However, P300 speller use is still limited by relatively low communication rat ... Full text Cite