Multimodality Neurological Data Visualization with Multi-VOI Based DTI Fiber Dynamic Integration
Brain lesions are usually located adjacent to critical spinal structures, so it will be a challenging task for neurosurgeons to precisely plan a surgical procedure without damaging healthy tissues and nerves. The advancement of medical imaging technologies produces a large amount of neurological data, which are capable of showing a wide variety of brain properties. In this paper, we describe new algorithms and a software framework for multiple volume of interest specified diffusion tensor imaging (DTI) fiber dynamic visualization…
Unobtrusive Monitoring of Neonatal Brain Temperature Using a Zero-Heat-Flux Sensor Matrix
The temperature of preterm neonates must be maintained within a narrow window to ensure their survival. Continuously measuring their core temperature provides an optimal means of monitoring their thermoregulation and their response to environmental changes. This work investigates an unobtrusive method of measuring brain temperature continuously using an embedded zero-heat-flux (ZHF) sensor matrix placed under the head of the neonate…
Detecting Subclinical Diabetic Cardiac Autonomic Neuropathy by Analysing Ventricular Repolarization Dynamics
In this study, a linear parametric modeling was used to model ventricular repolarization (VR) dynamics from RR, QT and ECG derived respiration (EDR) signals. The study analyzed 80 age-matched participants (40 with no cardiac autonomic neuropathy (NCAN) and 40 with CAN of two different levels). In the CAN group, 25 participants had early/subclinical CAN (ECAN) and 15 participants with definite/clinical CAN (DCAN)…
Special Section: Enabling Technologies for Parkinson’s Disease Management
Klucken, J. ; Friedl, K.E. ; Eskofier, B.M. ; Hausdorff, J.M.
Parkinson’s disease is the most common neurological movement disorder, with a prevalence of up to 2% in the elderly. The new research published in this Special issue represents the edge between the current technical abilities of engineering solutions and clinical applications for the management of Parkinson’s disease, spanning wearable technologies and the Internet of Things, body sensor networks and smart home techniques…
Prediction of Freezing of Gait in Parkinson’s from Physiological Wearables: An Exploratory Study
Freezing of gait (FoG) is a common and severe gait impairment among patients with advanced Parkinson’s disease. FoG is associated with falls and negatively impacts the patient’s quality of life. We analyzed wearable collected electrocardiography (ECG) and skin- conductance response (SCR) data from 11 subjects who experience FoG in daily-life, and found statistically significant changes in ECG and SCR data just before the FoG episodes, compared to normal walking.
Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques
This study uses smart homes and wearable sensors to collect data while (n=84) older adults perform complex activities of daily living. Analysis reveals that differences between healthy older adults and adults with Parkinson disease not only exist in their activity patterns, but that these differences can be automatically recognized. Permutation-based testing confirms that the sensor-based differences between these groups are statistically significant, which offers insights for automatic detection of the behavior impacts of Parkinson disease.