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4 publications found

Bilaterally reduced rolandic beta band activity in minor stroke patients

Pranjeevan Kulasingham, Christian Brodbeck, Sheena Khan, Elisabeth B Marsh, Jonathan Z Simon

Journal Frontiers in Neurology , vol. 13 · 2022 · Cited by 22

Biosignal ProcessingPhysiological Monitoring and Digital Health

Abstract

Stroke patients with hemiparesis display decreased beta band (13–25 Hz) rolandic activity, correlating to impaired motor function. However, clinically, patients without significant weakness, with small lesions far from sensorimotor cortex, exhibit bilateral decreased motor dexterity and slowed reaction times. We investigate whether these minor stroke patients also display abnormal beta band activity. Magnetoencephalographic (MEG) data were collected from nine minor stroke patients (NIHSS < 4) without significant hemiparesis, at ~1 and ~6 months postinfarct, and eight age-similar controls. Rolandic relative beta power during matching tasks and resting state, and Beta Event Related (De)Synchronization (ERD/ERS) during button press responses were analyzed. Regardless of lesion location, patients had significantly reduced relative beta power and ERS compared to controls. Abnormalities persisted over visits, and were present in both ipsi- and contra-lesional hemispheres, consistent with bilateral impairments in motor dexterity and speed. Minor stroke patients without severe weakness display reduced rolandic beta band activity in both hemispheres, which may be linked to bilaterally impaired dexterity and processing speed, implicating global connectivity dysfunction affecting sensorimotor cortex independent of lesion location. Findings not only illustrate global network disruption after minor stroke, but suggest rolandic beta band activity may be a potential biomarker and treatment target, even for minor stroke patients with small lesions far from sensorimotor areas.

Towards accurate cross-domain in-bed human pose estimation

Mohamed Afham, Udith Haputhanthri, Jathurshan Pradeepkumar, Mithunjha Anandakumar, Anjula C. De Silva, Chamira U. S. Edussooriya

Conference ICASSP ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp. 2664-2668 · 2022 · Cited by 18

Computer VisionMachine Learning and Pattern RecognitionPhysiological Monitoring and Digital Health

Abstract

Human behavioral monitoring during sleep is essential for various medical applications. Majority of the contactless human pose estimation algorithms are based on RGB modality, causing ineffectiveness in in-bed pose estimation due to occlusions by blankets and varying illumination conditions. Long-wavelength infrared (LWIR) modality based pose estimation algorithms overcome the aforementioned challenges; however, ground truth pose generations by a human annotator under such conditions are not feasible. A feasible solution to address this issue is to transfer the knowledge learned from images with pose labels and no occlusions, and adapt it towards real world conditions (occlusions due to blankets). In this paper, we propose a novel learning strategy comprises of two-fold data augmentation to reduce the cross-domain discrepancy and knowledge distillation to learn the distribution of unlabeled images in …

Deployment options of 5g network slicing for smart healthcare

Rakshitha De Silva, Yushan Siriwardhana, Tharaka Samarasinghe, Madhusanka Liyanage, Mika Ylianttila

Journal De Silva, Rakshitha, Yushan Siriwardhana, Tharaka Samarasinghe, Madhusanka Liyanage, and Mika Ylianttila.“Deployment Options of 5G Network Slicing for Smart Healthcare.” IEEE, January 11, 2022. https://doi. org/10.1109/ccnc49033. 2022.9700516. · 2022 · Cited by 9

Mobile and Next-Generation NetworksNetwork Optimization and IntelligencePhysiological Monitoring and Digital Health

Abstract

Network slicing enables the creation of multiple logical independent networks on physical networking infrastructure. Network slice deployment in a Fifth Generation (5G) mobile network can be classified as vertical and horizontal slicing. The paper compares the performance of the two slicing methods through solving two convex optimization problems, considering several smart hospital scenarios that differ from each other based on their medical speciality. The results are used to draw insights on the most appropriate slicing approach for each setup.

Bilaterally Reduced Rolandic Beta Band Activity in Minor Stroke Patients-Dataset

Pranjeevan Kulasingham, Christian Brodbeck, Sheena Khan

Other · 2022 · Cited by 0

Biosignal ProcessingPhysiological Monitoring and Digital Health

Abstract

Stroke patients with hemiparesis display decreased beta band (13–25Hz) rolandic activity, correlating to impaired motor function. However, clinically, patients without significant weakness, with small lesions far from sensorimotor cortex, exhibit bilateral decreased motor dexterity and slowed reaction times. We investigate whether these minor stroke patients also display abnormal beta band activity. Magnetoencephalographic (MEG) data were collected from nine minor stroke patients (NIHSS< 4) without significant hemiparesis, at~ 1 and~ 6 months postinfarct, and eight age-similar controls. Rolandic relative beta power during matching tasks and resting state, and Beta Event Related (De) Synchronization (ERD/ERS) during button press responses were analyzed. Regardless of lesion location, patients had significantly reduced relative beta power and ERS compared to controls. abnormalities persisted over visits, and were present in both ipsi-and contra-lesional hemispheres, consistent with bilateral impairments in motor dexterity and speed. Minor stroke patients without severe weakness display reduced rolandic beta band activity in both hemispheres, which may be linked to bilaterally impaired dexterity and processing speed, implicating global connectivity dysfunction affecting sensorimotor cortex independent of lesion location. Findings not only illustrate global network disruption after minor stroke, but suggest rolandic beta band activity may be a potential biomarker and treatment target, even for minor stroke patients with small lesions far from sensorimotor areas.