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Multispectral Imaging-based System for Detecting Tissue Oxygen Saturation with Wound Segmentation for Monitoring Wound Healing

Multispectral Imaging-based System for Detecting Tissue Oxygen Saturation with Wound Segmentation for Monitoring Wound Healing 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Blood circulation is an important indicator of wound healing. In this study, a tissue oxygen saturation detecting (TOSD) system that is based on multispectral imaging (MSI) is proposed to… read more

Detection of Non-Sustained Supraventricular Tachycardia in Atrial Fibrillation Screening

Detection of Non-Sustained Supraventricular Tachycardia in Atrial Fibrillation Screening 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Non-sustained supraventricular tachycardia (nsSVT) is associated with a higher risk of developing atrial fibrillation (AF), and, therefore, detection of nsSVT can improve AF screening efficiency. However, the detection is… read more

Detection of Non-Sustained Supraventricular Tachycardia in Atrial Fibrillation Screening

Detection of Non-Sustained Supraventricular Tachycardia in Atrial Fibrillation Screening 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Non-sustained supraventricular tachycardia (nsSVT) is associated with a higher risk of developing atrial fibrillation (AF), and, therefore, detection of nsSVT can improve AF screening efficiency. However, the detection is… read more

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large data repositories and well-trained analysis models. Yet, this wealth of data is lacking for… read more

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large data repositories and well-trained analysis models. Yet, this wealth of data is lacking for… read more

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large data repositories and well-trained analysis models. Yet, this wealth of data is lacking for… read more

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large data repositories and well-trained analysis models. Yet, this wealth of data is lacking for… read more

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large data repositories and well-trained analysis models. Yet, this wealth of data is lacking for… read more

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People

From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large data repositories and well-trained analysis models. Yet, this wealth of data is lacking for… read more