Influence of Sensory Substitution Mapping on the Discrimination of Locomotion Gait Phase and Speed

2018 ◽  
Vol 99 (10) ◽  
pp. e71-e72
Author(s):  
Andrew Hennes ◽  
Andrew Kwon ◽  
Nicholas Fey
Keyword(s):  
Sensory Substitution ◽  
Substitution Mapping ◽  
Gait Phase

Patrolling the Boundaries of Synaesthesia

2017 ◽  
Author(s):  
Malika Auvray ◽  
Mirko Farina
Keyword(s):  
Sensory Substitution ◽  
Neurological Condition ◽  
Flavor Perception ◽  
Over Time ◽  
Hypnotic Suggestions

Synaesthesia is a neurological condition in which people make unusual associations between various sensations. This chapter investigates conceptually whether alleged non-developmental (i.e. artificial) forms of synaesthesia could be counted as genuine synaesthetic experiences. It focuses in particular on post-hypnotic suggestions, drug habits, flavor perception, and use of sensory substitution devices. It discusses a number of criteria that have been taken as definitional of synaesthesia; namely, inducer-concurrent pairing, idiosyncrasy, consistency over time, and automaticity of the process, and subsequently investigates whether those alleged non-developmental cases could fulfill these criteria. Although the response provided here is negative, as each of the cases fail to fulfill one or several of the criteria, the comparisons between these cases and congenital synaesthesia prove useful to highlight key differences between different kinds of multisensory experiences.

scholarly journals Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 789
Author(s):  
David Kreuzer ◽  
Michael Munz
Keyword(s):  
Gait Analysis ◽  
Time Series Data ◽  
Low Cost ◽  
Analysis Data ◽  
Gait Disorders ◽  
Human Gait ◽  
Series Data ◽  
Ageing Society ◽  
Time Motion ◽  
Gait Phase

With an ageing society comes the increased prevalence of gait disorders. The restriction of mobility leads to a considerable reduction in the quality of life, because associated falls increase morbidity and mortality. Consideration of gait analysis data often alters surgical recommendations. For that reason, the early and systematic diagnostic treatment of gait disorders can spare a lot of suffering. As modern gait analysis systems are, in most cases, still very costly, many patients are not privileged enough to have access to comparable therapies. Low-cost systems such as inertial measurement units (IMUs) still pose major challenges, but offer possibilities for automatic real-time motion analysis. In this paper, we present a new approach to reliably detect human gait phases, using IMUs and machine learning methods. This approach should form the foundation of a new medical device to be used for gait analysis. A model is presented combining deep 2D-convolutional and LSTM networks to perform a classification task; it predicts the current gait phase with an accuracy of over 92% on an unseen subject, differentiating between five different phases. In the course of the paper, different approaches to optimize the performance of the model are presented and evaluated.

scholarly journals Dissection of closely linked QTLs controlling stigma exsertion rate in rice by substitution mapping

2021 ◽  
Author(s):  
Quanya Tan ◽  
Chengshu Wang ◽  
Xin Luan ◽  
Lingjie Zheng ◽  
Yuerong Ni ◽  
...  
Keyword(s):  
Complex Trait ◽  
Epistatic Effect ◽  
Open Reading Frames ◽  
Chromosome 3 ◽  
Chromosome 2 ◽  
Substitution Mapping ◽  
Mapping Strategy ◽  
Stigma Exsertion ◽  
Important Trait ◽  
Stigma Exsertion Rate

Abstract Key message Through substitution mapping strategy, two pairs of closely linked QTLs controlling stigma exsertion rate were dissected from chromosomes 2 and 3 and the four QTLs were fine mapped. Abstract Stigma exsertion rate (SER) is an important trait affecting the outcrossing ability of male sterility lines in hybrid rice. This complex trait was controlled by multiple QTLs and affected by environment condition. Here, we dissected, respectively, two pairs of tightly linked QTLs for SER on chromosomes 2 and 3 by substitution mapping. On chromosome 2, two linkage QTLs, qSER-2a and qSER-2b, were located in the region of 1288.0 kb, and were, respectively, delimited to the intervals of 234.9 kb and 214.3 kb. On chromosome 3, two QTLs, qSER-3a and qSER-3b, were detected in the region of 3575.5 kb and were narrowed down to 319.1 kb and 637.3 kb, respectively. The additive effects of four QTLs ranged from 7.9 to 9.0%. The epistatic effect produced by the interaction of qSER-2a and qSER-2b was much greater than that of qSER-3a and qSER-3b. The open reading frames were identified within the maximum intervals of qSER-2a, qSER-2b and qSER-3a, respectively. These results revealed that there are potential QTL clusters for SER in the two regions of chromosome 2 and chromosome 3. Fine mapping of the QTLs laid a foundation for cloning of the genes of SER.

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