Results 111 to 120 of about 36,576 (296)
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
Manifestation of Chaos in Real Complex Systems: Case of Parkinson's Disease
In this chapter we present a new approach to the study of manifestations of chaos in real complex system. Recently we have achieved the following result. In real complex systems the informational measure of chaotic chatacter (IMC) can serve as a reliable
A. Beuter +17 more
core +2 more sources
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Deep brain stimulation (DBS) as a therapeutic approach in gait disorders: What does it bring to the table? [PDF]
Pourahmad R +7 more
europepmc +1 more source
Herein, a patient‐mounted neuro optical coherence tomography system that integrates a 5 degrees‐of‐freedom skull‐mounted robot (Skullbot) with a 0.6 mm neuroendoscope for targeted, minimally invasive deep brain imaging, is developed. The system offers high‐resolution imaging with precise deployment, demonstrated through successful tumor imaging in a ...
Chao Xu +7 more
wiley +1 more source
Τhe multiple temporalities of deep brain stimulation (DBS) in Greece
This contribution intends to explore patients' lived experience, with a focus on the temporal dimension. On the basis of a qualitative study that led me to interview persons with Parkinson's disease (PD), caregivers, and medical professionals, I develop an empirical and philosophical investigation of the temporalities surrounding the implementation of ...
openaire +3 more sources
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Effects of deep brain stimulation and verbal suggestions on pain in Parkinson’s disease
In Parkinson’s disease (PD) patients, verbal suggestions have been shown to modulate motor and clinical outcomes in treatment with subthalamic deep brain stimulation (DBS). Furthermore, DBS may alleviate pain in PD.
Rosenkjær Sophie +6 more
doaj +1 more source
Temporally non-regular patterns of deep brain stimulation (DBS) enhance assessment of evoked potentials while maintaining motor symptom management in Parkinson's disease (PD). [PDF]
Palopoli-Trojani K +6 more
europepmc +1 more source
Low-Dimensional Stochastic Modeling of the Electrical Properties of Biological Tissues
Uncertainty quantification plays an important role in biomedical engineering as measurement data is often unavailable and literature data shows a wide variability.
Römer, Ulrich +3 more
core +1 more source

