… N T trees using all M spectral features extracted from all original P channels ( M = 5 × P ). …
split, first we selected mtry of the M original features ( mtry ≤ M ) at random as candidates for …

Wearable biosensors have become increasingly popular in healthcare due to their
capabilities for low cost and long term biosignal monitoring. This paper presents a novel two-stage …

Neurological assessment can be used to monitor a person's neurological status. In this
paper, we report collection and analysis of a multimodal dataset of Non-EEG physiological …

We propose an algorithm that uses pressure image data to detect a person's sleeping
posture and identifies different body limbs. Our algorithm can be used in monitoring bed-bound …

Monitoring sleep postures can provide critical information when analyzing an individual's
sleep quality and in-bed behavior. Furthermore, tracking sleep posture over time can play an …

… At the end of the training phase, we will have vectors S1 through SM for M posture classes.
In our work, each vector has size of N = 2048 bits and there are M = 8 postures and L = 20 …

Approximately 0.1 percent of epileptic patients die from unexpected deaths. In general, for
intractable seizures, it is crucial to have an algorithm to accurately and automatically detect …

… For each similarity matrix C i we then perform PCA, and again keep m i informative principal
components identified by the elbow method. This yields k matrices { F i ∈ ℝ n × m i } i = 1 k …

… Five normalized in-band power spectral density (NIPSD) features estimated for each of M
= … Javad Birjandtalab, Maziyar Baran Pouyan, and Mehrdad Nourani "Unsupervised EEG …

… (8)where n and m are the discrete time and frequency indexes, respectively, h(k) is the
frequency smoothing symmetric normed window of length 2N 1, g(p) is the time smoothing …