All Publications

Comparison of EMG power during sleep from the submental and frontalis muscles

Objective: Submentalis electromyography (sEMG) and frontalis electromyography (fEMG) muscle activities have been used to assist in the staging of sleep and detection of disruptions in sleep. This study was designed to assess the concordance between sEMG and fEMG power, by and across sleep stages. Methods: Forty-three records with simultaneous acquisition of differential signals from the [...]

Comparison of EMG power during sleep from the submental and frontalis muscles 2019-02-18T12:23:58+00:00

The Accuracy, Night-to-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers

The Accuracy, Night-to-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers Daniel J. Levendowski, MBA1; Luigi Ferini-Strambi, MD2; Charlene Gamaldo, MD3; Mindy Cetel, MD4; Robert Rosenberg, DO5; Philip R. Westbrook, MD1 1Advanced Brain Monitoring, Carlsbad, California; 2Department of Clinical Neurosciences, San Raffaele Scientific Institute, Sleep Disorders Center, Università Vita-Salute San Raffaele, Milan, Italy; 3Department of [...]

The Accuracy, Night-to-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers 2019-02-18T15:18:22+00:00

User Compliance and Behavioral Adaptation Associated With Supine Avoidance Therapy

This study investigates behavioral adaptation to vibrotactile position-avoidance therapy during sleep in patients with obstructive sleep apnea (n =135) across 15 to 52 weeks. The overall compliance, based on nights used ≥ 4 hr, was 71%. Overall regular use, that is, ≥ 4 hr/night over 70% of nights, was 88%. Poor early compliance strongly predicted [...]

User Compliance and Behavioral Adaptation Associated With Supine Avoidance Therapy 2017-12-15T14:36:57+00:00

Modeling temporal sequences of cognitive state changes based on a combination of EEG-engagement, EEG-workload, and heart rate metrics

The objective of this study was to investigate the feasibility of physiological metrics such as ECG-derived heart rate and EEG-derived cognitive workload and engagement as potential predictors of performance on different training tasks. An unsupervised approach based on self-organizing neural network (NN) was utilized to model cognitive state changes over time. The feature vector comprised [...]

Modeling temporal sequences of cognitive state changes based on a combination of EEG-engagement, EEG-workload, and heart rate metrics 2017-11-15T12:05:54+00:00

Identifying psychophysiological indices of expert vs. novice performance in deadly force judgment and decision making

Johnson RR, Stone BT, Miranda CM, et al. Frontiers in Human Neuroscience 2014;8:512. Objective: To demonstrate that psychophysiology may have applications for objective assessment of expertise development in deadly force judgment and decision making (DFJDM). Background: Modern training techniques focus on improving decision-making skills with participative assessment between trainees and subject matter experts primarily through [...]

Identifying psychophysiological indices of expert vs. novice performance in deadly force judgment and decision making 2015-07-07T08:05:14+00:00