Ethical Considerations of Neuralink and Brain-Computer Interfaces: Balancing Innovation and Responsibility
Ann Biomed Eng. 2024 Apr 11. doi: 10.1007/s10439-024-03511-2. Online ahead of print.ABSTRACTNeuralink is a neurotechnology company founded by Elon Musk in 2016, which has been quietly developing revolutionary technology allowing for ultra-high precision bidirectional communication between external devices and the brain. In this paper, we explore the multifaceted ethical considerations surrounding neural interfaces, analyzing potential societal impacts, risks, and call for a need for responsible innovation. Despite the technological, medical, medicolegal, and ethical challenges ahead, neural interface technology remains ext...
Source: Annals of Biomedical Engineering - April 11, 2024 Category: Biomedical Engineering Authors: Ethan Waisberg Joshua Ong Andrew G Lee Source Type: research
Modelling the extracellular potential generated by a muscle fiber as the output signal of a convolutional system
Adv Physiol Educ. 2024 Apr 11. doi: 10.1152/advan.00238.2023. Online ahead of print.ABSTRACTA central topic in Bioelectricity is the generation of the extracellular potential that results from the propagation of a transmembrane action potential along the muscle fiber. However, the way in which the extracellular potential is determined by the propagating action potential is difficult to describe, conceptualize and visualize. Moreover, traditional quantitative approaches aimed at modelling extracellular potentials involve complex mathematical formulations, which do not allow students to visualize how the extracellular potent...
Source: Adv Physiol Educ - April 11, 2024 Category: Universities & Medical Training Authors: Javier Rodriguez-Falces Source Type: research
Modelling the extracellular potential generated by a muscle fiber as the output signal of a convolutional system
Adv Physiol Educ. 2024 Apr 11. doi: 10.1152/advan.00238.2023. Online ahead of print.ABSTRACTA central topic in Bioelectricity is the generation of the extracellular potential that results from the propagation of a transmembrane action potential along the muscle fiber. However, the way in which the extracellular potential is determined by the propagating action potential is difficult to describe, conceptualize and visualize. Moreover, traditional quantitative approaches aimed at modelling extracellular potentials involve complex mathematical formulations, which do not allow students to visualize how the extracellular potent...
Source: Advances in Physiology Education - April 11, 2024 Category: Physiology Authors: Javier Rodriguez-Falces Source Type: research
Ethical Considerations of Neuralink and Brain-Computer Interfaces: Balancing Innovation and Responsibility
Ann Biomed Eng. 2024 Apr 11. doi: 10.1007/s10439-024-03511-2. Online ahead of print.ABSTRACTNeuralink is a neurotechnology company founded by Elon Musk in 2016, which has been quietly developing revolutionary technology allowing for ultra-high precision bidirectional communication between external devices and the brain. In this paper, we explore the multifaceted ethical considerations surrounding neural interfaces, analyzing potential societal impacts, risks, and call for a need for responsible innovation. Despite the technological, medical, medicolegal, and ethical challenges ahead, neural interface technology remains ext...
Source: Annals of Biomedical Engineering - April 11, 2024 Category: Biomedical Engineering Authors: Ethan Waisberg Joshua Ong Andrew G Lee Source Type: research
Modelling the extracellular potential generated by a muscle fiber as the output signal of a convolutional system
Adv Physiol Educ. 2024 Apr 11. doi: 10.1152/advan.00238.2023. Online ahead of print.ABSTRACTA central topic in Bioelectricity is the generation of the extracellular potential that results from the propagation of a transmembrane action potential along the muscle fiber. However, the way in which the extracellular potential is determined by the propagating action potential is difficult to describe, conceptualize and visualize. Moreover, traditional quantitative approaches aimed at modelling extracellular potentials involve complex mathematical formulations, which do not allow students to visualize how the extracellular potent...
Source: Advances in Physiology Education - April 11, 2024 Category: Physiology Authors: Javier Rodriguez-Falces Source Type: research
Modelling the extracellular potential generated by a muscle fiber as the output signal of a convolutional system
Adv Physiol Educ. 2024 Apr 11. doi: 10.1152/advan.00238.2023. Online ahead of print.ABSTRACTA central topic in Bioelectricity is the generation of the extracellular potential that results from the propagation of a transmembrane action potential along the muscle fiber. However, the way in which the extracellular potential is determined by the propagating action potential is difficult to describe, conceptualize and visualize. Moreover, traditional quantitative approaches aimed at modelling extracellular potentials involve complex mathematical formulations, which do not allow students to visualize how the extracellular potent...
Source: Adv Physiol Educ - April 11, 2024 Category: Universities & Medical Training Authors: Javier Rodriguez-Falces Source Type: research
Modelling the extracellular potential generated by a muscle fiber as the output signal of a convolutional system
Adv Physiol Educ. 2024 Apr 11. doi: 10.1152/advan.00238.2023. Online ahead of print.ABSTRACTA central topic in Bioelectricity is the generation of the extracellular potential that results from the propagation of a transmembrane action potential along the muscle fiber. However, the way in which the extracellular potential is determined by the propagating action potential is difficult to describe, conceptualize and visualize. Moreover, traditional quantitative approaches aimed at modelling extracellular potentials involve complex mathematical formulations, which do not allow students to visualize how the extracellular potent...
Source: Advances in Physiology Education - April 11, 2024 Category: Physiology Authors: Javier Rodriguez-Falces Source Type: research
Successful adaptation of twinning concept for global neurosurgery collaborations —a validation study
ConclusionThis study validated the use of the INTIMA model previously described in a mission by Swedish African Neurosurgical Collaboration (SANC). The model is sustainable and produces notable results. The core strength of the model is in the multidisciplinary team securing all the aspects and steps of the neurosurgical care. Installation of an operating microscope opened for further microsurgical possibilities, improving the neurosurgical care in The Gambia. (Source: Acta Neurochirurgica)
Source: Acta Neurochirurgica - April 11, 2024 Category: Neurosurgery Source Type: research
BayGO: Decentralized Bayesian Learning and Information-Aware Graph Optimization Framework
Multi-agent Decentralized Learning (MADL) is a scalable approach that enables agents to learn based on their local datasets. However, it presents significant challenges related to the impact of dataset heterogeneity and the communication graph structure on learning speed, as well as the lack of a robust method for quantifying prediction uncertainty. To address these challenges, we propose BayGO, a novel fully-decentralized multi-agent local Bayesian learning with local averaging, usually referred to as non-Bayesian social learning, together with graph optimization framework. Within BayGO, agents locally learn a posterior d...
Source: IEEE Transactions on Signal Processing - April 10, 2024 Category: Biomedical Engineering Source Type: research
Accounting for Vibration Noise in Stochastic Measurement Errors of Inertial Sensors
The measurement of data over time and/or space is of utmost importance in a wide range of domains from engineering to physics. Devices that perform these measurements, such as inertial sensors, need to be extremely precise to obtain correct system diagnostics and accurate predictions, consequently requiring a rigorous calibration procedure before being employed. Most of the research over the past years has focused on delivering methods that can explain and estimate the complex stochastic components of these errors. In this context, the Generalized Method of Wavelet Moments emerges as a computationally efficient estimator w...
Source: IEEE Transactions on Signal Processing - April 10, 2024 Category: Biomedical Engineering Source Type: research
Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering
Existing multilayer graph clustering models focus on integrating the monolithic structure of each layer, but the local preference between layers and clusters has not been fully exploited. To alleviate this problem, this paper proposes a novel multilayer graph clustering model with Adaptive Local Modularity Learning (ALML), which mines truncated layer-cluster relationships adaptively with graph modularity learning paradigm, to reveal the local preference in multilayer graphs. More importantly, ALML reveals the equivalence between graph cut and graph modularity learning in multilayer graph scenarios in theory. To solve the o...
Source: IEEE Transactions on Signal Processing - April 10, 2024 Category: Biomedical Engineering Source Type: research
Sparse-view CT reconstruction based on group-based sparse representation using weighted guided image filtering
CONCLUSIONS: The experimental results demonstrate that our method is more effective in preserving structures, suppressing noise, and reducing artifacts compared to other methods.PMID:38598849 | DOI:10.1515/bmt-2023-0581 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - April 10, 2024 Category: Biomedical Engineering Authors: Rong Xu Yi Liu Zhiyuan Li Zhiguo Gui Source Type: research
