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Journal articles on the topic 'Sensory processing'

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Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Abbas, Jabbar, Amin Al-Habaibeh, and Dai Zhong Su. "Sensor Fusion for Condition Monitoring System of End Milling Operations." Key Engineering Materials 450 (November 2010): 267–70. http://dx.doi.org/10.4028/www.scientific.net/kem.450.267.

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This paper describes the utilisation of multi sensor fusion model using force, vibration, acoustic emission, strain and sound sensors for monitoring tool wear in end milling operations. The paper applies the ASPS approach (Automated Sensor and Signal Processing Selection) method for signal processing and sensor selection [1]. The sensory signals were processed using different signal processing methods to create a wide range of Sensory Characteristic Features (SCFs). The sensitivity of these SCFs to tool wear is investigated. The results indicate that the sensor fusion system is capable of detecting machining faults in comparison to a single sensor using the suggested approach.

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2

Guo, Yixuan, and Gaoyang Liang. "Perceptual Feedback Mechanism Sensor Technology in e-Commerce IoT Application Research." Journal of Sensors 2021 (September 28, 2021): 1–12. http://dx.doi.org/10.1155/2021/3840103.

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With the development of sensor technology and the Internet of Things (IoT) technology, the trend of miniaturization of sensors has prompted the inclusion of more sensors in IoT, and the perceptual feedback mechanism among these sensors has become particularly important, thus promoting the development of multiple sensor data fusion technologies. This paper deeply analyzes and summarizes the characteristics of sensory data and the new problems faced by the processing of sensory data under the new trend of IoT, deeply studies the acquisition, storage, and query of sensory data from the sensors of IoT in e-commerce, and proposes a ubiquitous storage method for massive sensory data by combining the sensory feedback mechanism of sensors, which makes full use of the storage resources of IoT storage network elements and maximally meets the massive. In this paper, we propose a ubiquitous storage method for massive sensing data, which makes full use of the storage resources of IoT storage network elements to maximize the storage requirements of massive sensing data and achieve load-balanced data storage. In this paper, starting from the overall development of IoT in recent years, the weak link of intelligent information processing is reinforced based on the sensory feedback mechanism of sensor technology.

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3

Mountstephen, Mary. "Sensory processing." Primary Teacher Update 2011, no. 3 (December 2011): 34–35. http://dx.doi.org/10.12968/prtu.2011.1.3.34.

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4

Lynch, Sharon A., and Cynthia G. Simpson. "Sensory Processing." Young Exceptional Children 7, no. 4 (July 2004): 2–9. http://dx.doi.org/10.1177/109625060400700401.

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5

Ishikawa, Masatoshi. "Active Sensor System Using Parallel Processing Circuits." Journal of Robotics and Mechatronics 5, no. 1 (February 20, 1993): 31–37. http://dx.doi.org/10.20965/jrm.1993.p0031.

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In this paper, an active sensor system using parallel processing circuits is proposed and its characteristics are discussed. From the perspective of a model of active touch sensory processing mechanism, the system uses information of efferent copy and internal actuator model in order to generate active motions from the local pattern information detected by local pattern sensors, such as tactile sensors. In addition, an experimental system and its basic experimental results are described. The experimental system is a sensor system for active perception of the shape of two-dimensional objects by tracing the edge of the objects. The system realizes both high speed processing of the local pattern and real-time control of the actuator.

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6

Listou Grimen, Hanne, and Åge Diseth. "Sensory Processing Sensitivity." Perceptual and Motor Skills 123, no. 3 (October 2, 2016): 637–53. http://dx.doi.org/10.1177/0031512516666114.

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7

Aron, Elaine N., Arthur Aron, and Jadzia Jagiellowicz. "Sensory Processing Sensitivity." Personality and Social Psychology Review 16, no. 3 (January 30, 2012): 262–82. http://dx.doi.org/10.1177/1088868311434213.

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8

Maulidi, Halima. "Sensory Processing Challenges." Journal of Developmental & Behavioral Pediatrics 36, no. 6 (2015): 433. http://dx.doi.org/10.1097/dbp.0000000000000185.

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9

FLANAGAN, JOANNE. "Sensory Processing Disorder." Pediatric News 43, no. 8 (August 2009): 22. http://dx.doi.org/10.1016/s0031-398x(09)70239-5.

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10

Grimen, Hanne Listou, and Åge Diseth. "Sensory Processing Sensitivity." Comprehensive Psychology 5 (June 2016): 216522281666007. http://dx.doi.org/10.1177/2165222816660077.

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11

Rajić, Isidora. "Sensory Processing Sensitivity." Psiholoska istrazivanja, no. 00 (2024): 3. http://dx.doi.org/10.5937/psistra0-48157.

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The main aim of this review article is to describe the sensory processing sensitivity trait (SPS). People with this trait are highly sensitive individuals and the pertinent literature states that they make up 20% to 30% of the general population. The paper outlines the theories that originally explained the high sensitivity of a certain segment of the population, the results of the studies that explored the discriminant validity of the Highly Sensitive Person Scale, the studies that examined the relationships between the SPS trait and personality dimensions, and the studies on the quality of mental health of highly sensitive individuals. Although there is an increasing number of studies on highly sensitive people worldwide, this has not been the case in our region. Consequently, experts (psychologists, psychotherapists and psychiatrists) in Serbia and the region are largely unfamiliar with this trait. Hence, it is possible to confuse the SPS trait with a personality dimension (neuroticism, introversion, shyness, etc.) or to diagnose a disorder in highly sensitive individuals (autism, attention deficit hyperactivity disorder, etc.). In addition, a very large number of newspaper articles on various internet portals about highly sensitive people may imply that high sensitivity in our region is only described through the lens of popular psychology. All this can lead to a misunderstanding of this scientific construct. Considering that the literature indicates that approximately a quarter of the general population is highly sensitive, it is extremely important that professionals become more familiar with the sensory processing sensitivity trait.

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12

Paramita, Sila, Naomi Soetikno, and Florencia Irena. "STUDI KASUS PADA ANAK DENGAN REGULATORY SENSORY PROCESSING DISORDER DI KLINIK TUMBUH KEMBANG X." Jurnal Muara Ilmu Sosial, Humaniora, dan Seni 3, no. 2 (October 28, 2019): 367. http://dx.doi.org/10.24912/jmishumsen.v3i2.3873.

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Perkembangan sensori merupakan perkembangan penting bagi individu. Sejak lahir, individu mulai memproses informasi sensori yang diperoleh dari lingkungan. Setiap informasi yang diterima sensori individu akan diintegrasikan dan diolah di otak sehingga menampilkan respons perilaku adaptif. Integrasi sensori dapat membantu individu untuk menguasai kemampuan dasar, seperti bahasa, pengendalian emosi, dan kemampuan berhitung. Masalah dalam integrasi sensori berkaitan dengan masalah dalam pemrosesan informasi sensori yang dikenal sebagai Regulatory Sensory Processing Disorder (RSPD). Ketika individu mengalami masalah dalam pemrosesan informasi sensori, maka individu akan mengalami hambatan baik dalam keberfungsiannya sehari-hari maupun perkembangannya. Masalah sensori dapat dikenali sejak dini melalui karakteristik perilaku yang ditampilkan anak. Oleh sebab itu, penelitian ini bertujuan untuk mengetahui gambaran perilaku anak dengan Regulatory Sensory Processing Disorder. Penelitian ini merupakan penelitian kualitatif dengan metode studi kasus. Partisipan dalam penelitian ini berjumlah satu orang yang merupakan pasien anak pada Klinik Tumbuh Kembang X. Metode pengambilan data menggunakan observasi, wawancara, dan asesmen psikologi. Ada pun sumber informasi diperoleh langsung melalui partisipan, orangtua, dan terapis. Untuk mengetahui gambaran fungsi sensori pada partisipan, peneliti menggunakan daftar observasi wawancara yang tertera pada ICDL-DMIC (2005). Hasil penelitian menunjukkan bahwa partisipan yang terlibat dalam penelitian ini mengalami gangguan pemrosesan sensori dengan tipe sensory-seeking. Partisipan penelitian menampilkan perilaku yang sangat aktif bergerak dan kesulitan memberikan atensi pada tugas yang diberikan. Hal tersebut berdampak pada performa akademis dan interaksi sosial yang dimiliki. Sensory development is an important development for individuals. From birth, individuals begin to process sensory information obtained from the environment. Every information received by an individual sensory receptor will be integrated and processed in the brain so that it displays an adaptive behavioral response. Sensory integration can help individuals to master basic abilities, such as language, emotional control, and numeracy skills. Problems in sensory integration are related to problems in processing sensory information known as Regulatory Sensory Processing Disorder (RSPD). When individuals experience problems in processing sensory information, individuals will experience obstacles both in their daily functioning and development. Sensory problems can be recognized early on through the behavioral characteristics displayed by children. Therefore, this study aims to describe the behaviour of children with Regulatory Sensory Processing Disorder. This research is a qualitative research with case study method. The sole participant in this study is a pediatric patient in the Growth and Development Clinic X. Data collection used observation, interviews, and psychological assessment. Information was also obtained directly through participants, parents, and therapists. To find out the description of sensory functions in participants, researchers used the interview observation list listed in ICDL-DMIC (2005). The results showed that the participants involved in this study experienced sensory-seeking type sensory processing disorders. Participant displayed very active behavior and difficulty in attending to the tasks assigned. This has an impact on academic performance and social interactions.

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13

Niutanen, Ulla, Toini Harra, Aulikki Lano, and Marjo Metsäranta. "Systematic review of sensory processing in preterm children reveals abnormal sensory modulation, somatosensory processing and sensory‐based motor processing." Acta Paediatrica 109, no. 1 (September 9, 2019): 45–55. http://dx.doi.org/10.1111/apa.14953.

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14

Kong, Michele, and Megan A. Moreno. "Sensory Processing in Children." JAMA Pediatrics 172, no. 12 (December 1, 2018): 1208. http://dx.doi.org/10.1001/jamapediatrics.2018.3774.

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15

Zhou, Qian, Hua Dai, Jianguo Zhou, Rongqi Qi, Geng Yang, and Xun Yi. "EPCT: An Efficient Privacy-Preserving and Collusion-Resisting Top- k Query Processing in WSNs." Security and Communication Networks 2021 (November 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/6234409.

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Data privacy threat arises during providing top- k query processing in the wireless sensor networks. This article presents an efficient privacy-preserving and collusion-resisting top- k (EPCT) query processing protocol. A minimized candidate encrypted dataset determination model is first designed, which is the foundation of EPCT. The model guides the idea of query processing and guarantees the correctness of the protocol. The symmetric encryption with different private key in each sensor is deployed to protect the privacy of sensory data even a few sensors in the networks have been colluding with adversaries. Based on the above model and security setting, two phases of interactions between the interested sensors and the sink are designed to implement the secure query processing protocol. The security analysis shows that the proposed protocol is capable of providing secure top- k queries in the manner of privacy protection and anticollusion, whereas the experimental result indicates that the protocol outperforms the existing works on communication overhead.

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16

Pirš, Cvetko, Boris Cigale, Damjan Zazula, and Dejan Usar. "System Architecture of Unobtrusive Sensors for Supporting Home Care and Independet Living." International Journal of Mathematics and Computers in Simulation 15 (November 27, 2021): 141–46. http://dx.doi.org/10.46300/9102.2021.15.26.

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The paper deals with an implementation of unobtrusive sensors installed in home environment for continuous monitoring of functional-health parameters of the observed persons. A multi-tier architecture links sensory devices through sensor-data concentrators to a home server. Automated sensory measurements are supported by a concept of sensoractivated events, event-driven data transmission and processing by a dedicated application interface. Its logic and data structures are revealed. Examples of three typical execution scenarios are given and a short description depicts clinical installation of proposed system for testing purposes.

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17

Duman, Elifcan, Can Altınelataman, and Adnan Tokaç. "The role and importance of photonic sensors in seafood safety applications." Ege Journal of Fisheries and Aquatic Sciences 37, no. 3 (September 15, 2020): 319–24. http://dx.doi.org/10.12714/egejfas.37.3.16.

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Microbiological, chemical, sensory analyses known as traditional methods are used for determination of fish quality including many concepts such as microbiological quality, sensory quality, nutritional properties, product specific properties, freshness, species-specific physical properties. With the developing technology; these time-consuming and error-free analyzes have been replaced by sensor technology, which is very suitable for quality measurements in order to achieve the expected speed and high standard and to be open to improvement. In this study, optical sensors and their applications are emphasized and a general evaluation is made about the usability of seafood processing technology in terms of food safety.

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18

Blanche, Erna, Megan C. Chang, and L. Diane Parham. "Sensory Processing and Occupational Choices." American Journal of Occupational Therapy 73, no. 4_Supplement_1 (August 1, 2019): 7311505100p1. http://dx.doi.org/10.5014/ajot.2019.73s1-po2016.

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19

Levitt, Harry. "Signal processing for sensory aids." Journal of the Acoustical Society of America 84, S1 (November 1988): S39. http://dx.doi.org/10.1121/1.2026296.

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20

Dobson, V. "Review: Higher Order Sensory Processing." Perception 21, no. 1 (February 1992): 141–42. http://dx.doi.org/10.1068/p210141.

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21

Polack, Pierre-Olivier. "Sensory processing during absence seizures." Journal of Physiology 594, no. 22 (November 15, 2016): 6439–40. http://dx.doi.org/10.1113/jp272921.

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22

Dunn, Winnie, Jessica Saiter, and Louann Rinner. "Asperger Syndrome and Sensory Processing." Focus on Autism and Other Developmental Disabilities 17, no. 3 (August 2002): 172–85. http://dx.doi.org/10.1177/10883576020170030701.

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23

Principe, Jose C., and Rakesh Chalasani. "Cognitive Architectures for Sensory Processing." Proceedings of the IEEE 102, no. 4 (April 2014): 514–25. http://dx.doi.org/10.1109/jproc.2014.2307023.

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24

Critz, Catharine, Kiegan Blake, and Ellen Nogueira. "Sensory Processing Challenges in Children." Journal for Nurse Practitioners 11, no. 7 (July 2015): 710–16. http://dx.doi.org/10.1016/j.nurpra.2015.04.016.

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25

Grothe, Benedikt, and Georg M. Klump. "Temporal processing in sensory systems." Current Opinion in Neurobiology 10, no. 4 (August 2000): 467–73. http://dx.doi.org/10.1016/s0959-4388(00)00115-x.

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26

Alitto, Henry J., and W. Martin Usrey. "Corticothalamic feedback and sensory processing." Current Opinion in Neurobiology 13, no. 4 (August 2003): 440–45. http://dx.doi.org/10.1016/s0959-4388(03)00096-5.

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27

Mirallave, Ana, Merche Morales, Christopher Cabib, Esteban J. Muñoz, Pilar Santacruz, Xavier Gasull, and Josep Valls-Sole. "Sensory processing in Huntington’s disease." Clinical Neurophysiology 128, no. 5 (May 2017): 689–96. http://dx.doi.org/10.1016/j.clinph.2017.01.009.

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28

Carr, Richard, and Stephan Frings. "Neuropeptides in sensory signal processing." Cell and Tissue Research 375, no. 1 (October 30, 2018): 217–25. http://dx.doi.org/10.1007/s00441-018-2946-3.

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29

Mesquita Reis, J., L. Queiróga, R. Velasco Rodrigues, B. Pinto Ferreira, F. Padez Vieira, M. Farinha, and P. Caldeira da Silva. "Sensory Processing Disorders and Psychopathology." European Psychiatry 41, S1 (April 2017): S216—S217. http://dx.doi.org/10.1016/j.eurpsy.2017.01.2196.

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IntroductionSensory processing is the individual's ability to receive, process and integrate sensory information from the environment and body movement in the central nervous system, in order to produce adaptive responses. Sensory processing disorders (SPD) are associated to difficulties in regulating emotions and behaviours as well as motor abilities in response to sensory stimulation that lead to impairment in development and functioning. It is estimated that SPD affect 5–16% of school-aged children. Although these diseases constitute a primary diagnostic category in the Diagnostic Classification of Mental Health and Development Disorders of Infancy and Early Childhood: DC0-3, they have not yet been validated by the Diagnostic and Statistical Manual of Mental Disorders-DSM. In the latest edition of DSM, SPD were only included as one of the diagnostic criteria of autism-spectrum disorders. However, several studies have suggested that SPD may present themselves solely or coexist with other clinical conditions.ObjectiveThe aim of this study was to review systematically the relationship between SPD and psychopathology.MethodologyArticles indexed in the Pubmed database were analyzed.Results/conclusionAlthough sensory processing problems are well known to occur in association with autism, their relationship with other mental disorders is not a well studied area. Some studies have related them with ADHD, behavioural disorders and learning disorders. Some studies also comproved that SPD are a valid diagnosis and that there are individuals with SPD who do not meet the criteria for other known disorder. One study found an abnormal white matter microstructure in children with SPD. Despite these findings SPD need to be further studied.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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30

Bruneau, Nicole. "Sensory processing in developmental disorders." International Journal of Psychophysiology 77, no. 3 (September 2010): 235. http://dx.doi.org/10.1016/j.ijpsycho.2010.06.347.

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31

Getz, K., L. M. Konopka, M. Primeau, J. Zadecki, and J. W. Crayton. "181. Sensory processing of graded." Biological Psychiatry 43, no. 8 (April 1998): S53—S54. http://dx.doi.org/10.1016/s0006-3223(98)90629-1.

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32

Cullen, Kathleen E., Jessica X. Brooks, and Soroush G. Sadeghi. "How Actions Alter Sensory Processing." Annals of the New York Academy of Sciences 1164, no. 1 (May 2009): 29–36. http://dx.doi.org/10.1111/j.1749-6632.2009.03866.x.

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33

Türer, Furkan, and Sezen Köse. "Neurodevelopmental Disorders and Sensory Processing." Turkish Journal of Child and Adolescent Mental Health 30, no. 2 (July 1, 2023): 97–104. http://dx.doi.org/10.4274/tjcamh.galenos.2021.40427.

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34

Flanagan, Joanne, Sarah Schoen, and Lucy Jane Miller. "Early Identification of Sensory Processing Challenges in Infants at Risk for Sensory Processing Challenges." American Journal of Occupational Therapy 71, no. 4_Supplement_1 (July 1, 2017): 7111515260p1. http://dx.doi.org/10.5014/ajot.2017.71s1-po5154.

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35

Han, Xiao, Hongwei Yan, Baojian Liu, and Wen Liu. "Emotional Feeling Evaluation Model in Underwater Environment Based on Wearable Sensor." Mathematical Problems in Engineering 2022 (March 16, 2022): 1–12. http://dx.doi.org/10.1155/2022/2104465.

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Underwater sensor network technologies, as well as devices, are developing rapidly, and underwater IoT devices have been widely used in energy surveys, environmental indicator detection, military surveillance, and disaster event monitoring. The transmission of massive amounts of underwater data to the cloud for processing and analysis has become the dominant processing paradigm, and cloud computing has become a dominant computing paradigm. The preparation strategy of elastomer-coated hydrogel optical fibers for stable optical sensing proposed in this work opens up a new method and approach for developing low-cost and highly sensitive water flow sensors while analyzing the design of wearable smart devices to assess underwater environmental emotion perception evaluation schemes. In this paper, we propose a sensory data acquisition technique for event coverage detection of underwater environmental emotions, observing that an event may correspond to deviations from the normal sensory range of sensory data from multiple adjacent sensor nodes. Distributed edge computing is introduced to assume part of the cloud computing pressure, and an edge prediction-based data acquisition and sensing scheme for underwater sensor networks is proposed to realize the conversion of the acoustic communication transmission part of underwater data into data prediction transmission, thus reducing the energy consumption caused by acoustic communication. The model established in this paper effectively reduces sensor energy consumption while ensuring accurate data transmission and can respond to the underlying demand promptly, which is significantly better than the already existing schemes.

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36

Schoen, Sarah A., Lucy J. Miller, and Jillian C. Sullivan. "Measurement in Sensory Modulation: The Sensory Processing Scale Assessment." American Journal of Occupational Therapy 68, no. 5 (September 1, 2014): 522. http://dx.doi.org/10.5014/ajot.2014.012377.

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37

Brown, C., N. Tollefson, W. Dunn, R. Cromwell, and D. Filion. "The Adult Sensory Profile: Measuring Patterns of Sensory Processing." American Journal of Occupational Therapy 55, no. 1 (January 1, 2001): 75–82. http://dx.doi.org/10.5014/ajot.55.1.75.

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38

Beyer, Olivia, Sabrina Butler, Bradley Murphy, Matthew Olig, Schye Skinner, and Christy Szczech Moser. "Sensory Integration and Sensory Processing… What’s in a Name?" Journal of Occupational Therapy, Schools, & Early Intervention 12, no. 1 (January 2, 2019): 1–37. http://dx.doi.org/10.1080/19411243.2019.1589702.

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39

Park, Suk Yung, and Arthur D. Kuo. "An Optimal Estimator Model of Multi-Sensory Processing in Human Postural Control." Key Engineering Materials 277-279 (January 2005): 148–54. http://dx.doi.org/10.4028/www.scientific.net/kem.277-279.148.

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We hypothesized that multi-sensory processing at the central nervous system (CNS) in human postural control can be described using an optimal estimator model. The estimates on body dynamics from multi-sensory signals contain sensory noise, transmission delays, and process disturbances. The state estimates approximate actual body movement. Erroneous estimates degrade the performance of feedback control and could cause a loss of balance if distorted severely. To test the hypothesis, we examined the frequency response of a visually-induced postural sway with stimulus frequency ranging from 0.075 to 1Hz and established an optimal estimator model. Two healthy young (33yrs ± 1) subjects stood on a force platform located 1.25m behind a projection screen with their arms crossed over their chests. They were asked to maintain an upright posture against the sinusoidal visual field stimuli. Each sinusoidal visual stimulus was generated by a projector for 200secs in pitch direction with a maximum pitch angle of 20o. Kinematics data was recorded to calculate the frequency response function of the center of mass (COM). There were three components in the modeling procedure: a biomechanical model of body and sensor dynamics, a linear feedback control model to stabilize the biomechanical model, and a state estimator to estimate body dynamic states based on multi-sensory outputs. We modeled the sensor dynamics of the semicircular canal, otolth, vision, and muscle spindles at the ankle and hip joint. We used the Kalman filter and linear quadratic regulator to determine feedback gains. Results showed that the frequency response function of a visually-induced postural sway decreased as stimulus frequency increased, and this low-pass filtering characteristic with an approximate cutoff frequency of 0.2Hz was also simulated by the postural feedback control model with optimal estimator. Low-pass filtering characteristics of the frequency response are mainly due to body and sensor dynamics, which show reduced responses for high frequency stimulus. The Kalman filter represents that the CNS utilizes redundant sensory information in a way that minimizes discrepancies between actual body dynamics and estimated body dynamics based on sensory output and an internal model. The results suggest that the CNS may make use of an internal representation of body dynamics, and can integrate sensory information in an optimal way to best estimate human postural responses.

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Bae, Wonjin, and Nam-Hae Jung. "The Study of Discriminant Validity for the Sensory Processing Scale for Children (SPS-C) of Children with and without Sensory Processing Disorder." Journal of Korean Society of Sensory Integration Therapists 20, no. 2 (September 30, 2022): 36–45. http://dx.doi.org/10.18064/jkasi.2022.20.2.36.

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41

Koziol, Leonard F., Deborah Ely Budding, and Dana Chidekel. "Sensory Integration, Sensory Processing, and Sensory Modulation Disorders: Putative Functional Neuroanatomic Underpinnings." Cerebellum 10, no. 4 (June 1, 2011): 770–92. http://dx.doi.org/10.1007/s12311-011-0288-8.

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42

Todorović, Jelena, and Mirjana Petrović-Lazić. "Sensory processing disorders in premature infants." Praxis medica 50, no. 1-2 (2021): 19–23. http://dx.doi.org/10.5937/pramed2102019t.

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Introduction. Children born prematurely have an increased risk of immediate medical complications, as well as socioemotional, cognitive, linguistic and sensory processing disorders later in life. Studies have examined the effects of prematurity on developmental outcomes, such as cognition, however, there is a need for a more detailed examination of sensory processing disorders in preterm infants. Not only is prenatal neurosensory development interrupted in utero, but these children may also experience intense stimulation in the neonatal unit, which can further alter the development and function of the sensory system. Objective. The paper presents an overview of research on sensory processing disorders in premature infants, with special emphasis on the impact of the environment of the neonatal unit. Method. Insight into the relevant literature was performed by specialized search engines on the Internet and insight into the electronic database. Results. Sensory processing disorders affect 39% to 52% of newborns born prematurely, with some evidence to suggest that children born before 32 weeks are most at risk. The literature to date has consistently reported difficulties in sensory modulation of preterm infants, within the tactile, vestibular, auditory, oral, and visual domains. Conclusion. Sensory processing disorders in preterm infants appear to occur as a result of their immature neurological and biological system and being in the environment of a neonatal intensive care unit, which is unable to meet the sensory needs of preterm infants. Altered sensory experiences, during periods of neurodevelopmental vulnerability and fragility, can result in sensory processing disorders, which may include enhanced responses or less response to stimuli (hyper or hyposensitivity).

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43

Kadkol, Moushami. "Quantified Observations of Sensory Processing (QOSP): Resource Tool for Screening Sensory Processing Difficulties in Preschoolers." Journal of Intellectual Disability - Diagnosis and Treatment 2, no. 1 (May 6, 2014): 1–11. http://dx.doi.org/10.6000/2292-2598.2014.02.01.1.

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44

Kim, Kyeong-Mi, Hyeon-Hui Shin, and Myunghee Kim. "A Preliminary Study to Development of an Assessment to Measure Sensory Processing of Children, ‘Sensory Processing Scale for Children (SPS-C)’." Journal of Korean Society of Sensory Integration Therapists 13, no. 2 (December 31, 2015): 31–41. http://dx.doi.org/10.18064/jkasi.2015.13.2.031.

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45

Hanganu-Opatz, Ileana L., Benjamin A. Rowland, Malte Bieler, and Kay Sieben. "Unraveling Cross-Modal Development in Animals: Neural Substrate, Functional Coding and Behavioral Readout." Multisensory Research 28, no. 1-2 (2015): 33–69. http://dx.doi.org/10.1163/22134808-00002477.

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The interaction of every living organism with its environment relies on sensory abilities. Hence, sensory systems need to develop rapidly and early in life to guarantee an individual’s survival. Sensors have to emerge that are equipped with receptors that detect a variety of stimuli. These sensors have to be wired in basic interconnected networks that possess the ability to process the uni- as well as multisensory information encoded in the sensory input. Plastic changes to refine and optimize these circuits need to be effected quickly during periods of sensory experience so that uni- and multisensory systems can rapidly achieve the functional maturity needed to support the perceptual and behavioral functions reliant upon them. However, the requirement that sensory abilities mature quickly during periods of enhanced neuroplasticity is at odds with the complexity of sensory networks. Neuronal assemblies within sensory networks must be precisely wired so that processing and coding mechanisms can render relevant stimuli more salient and bind features together appropriately. Focusing on animal research, the first part of this review describes mechanisms of sensory processing that show a high degree of similarity within and between sensory systems and highlight the network complexity in relationship to the temporal and spatial precision that is needed for optimal coding and processing of sensory information. Given the resemblance of most adult intra- and intersensory coding mechanisms, it is likely that their developmental principles are similar. The second part of the review focuses on developmental aspects, summarizing the mechanisms underlying the emergence and refinement of precisely coordinated neuronal and multisensory functioning. For this purpose, we review animal research that elucidates the neural substrate of multisensory development applicable to, the less accessible, human development. Animal studies in this field have not only complemented human studies, but brought new ideas and numerous cutting edge conclusions leading to the discovery of common principles and mechanisms.

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May-Benson, Teresa A., Olivia Easterbrooks-Dick, and Alison Teasdale. "Exploring the Prognosis: A Longitudinal Follow-Up Study of Children with Sensory Processing Challenges 8–32 Years Later." Children 10, no. 9 (August 29, 2023): 1474. http://dx.doi.org/10.3390/children10091474.

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Sensory integration and processing challenges have been long recognized in children and, more recently, in adults. To understand the long-term prognosis of these challenges, more research is needed on what children with sensory integration and processing challenges look like as adults. Using the Adult/Adolescent Sensory History, researchers followed up with 102 adults who had known sensory integration and processing challenges as children to examine the following questions: What is the current sensory processing status of adults who received sensory-integration-based occupational therapy services as children? And how has the sensory processing status of adults who received sensory-integration-based services changed since childhood? This study compared performance on sensory processing measures completed as children and as adults for a follow-up group of adults. The results revealed that the severity of sensory integration and processing challenges experienced by the follow-up group decreased from childhood, with 51% of the follow-up group now scoring in the “typical” range of sensory processing. Our findings suggest that those children with sensory integration and processing challenges who are recognized and seek occupational therapy services using an ASI approach are likely to have a good long-term prognosis regarding the severity of their sensory processing functioning.

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Bukva, Ajla. "SENSORY PROCESSING IN CHILDREN WITH AUTISM- A SCOPING REVIEW." Multidisciplinarni Pristupi u Edukaciji i Rehabilitaciji 5, no. 6 (December 15, 2023): 105–26. http://dx.doi.org/10.59519/mper5206.

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Difficulties in sensory processing in children with autism have been known since the first descriptions of autism. The oldest and most recent theories of autism are based on the assumption that people with autism process sensory information differently than people without autism. This work aimed to examine sensory patterns and systems of sensory processing in children with autism and children with typical development through a systematic review of the relevant literature. From December 2022 to May 2023 by searching the online databases for publications in the field of autism and sensory processing, namely PubMed, Eric, Web of Science, Google Scholar, and Scopus, a total of 254 publications were identified. After applying inclusion criteria 5 publications that were analyzed. The search was performed by combining the keywords "autism", "sensory processing" "sensory processing disorder". The results show that children with autism manifest more atypical sensory processing than typically developing children. Furthermore, children with autism show differences in sensory patterns and systems, which indicate greater problems and greater concern within sensory processing. These results highlight the importance of developing treatments and interventions aimed at improving sensory processing in children with autism and alleviating the symptoms of atypical sensory processing.

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Di Patrizio Stanchieri, Guido Di Patrizio, Moustafa Saleh, Andrea De De Marcellis, Ali Ibrahim, Marco Faccio, Maurizio Valle, and Elia Palange. "FPGA-Based Tactile Sensory Platform with Optical Fiber Data Link for Feedback Systems in Prosthetics." Electronics 12, no. 3 (January 27, 2023): 627. http://dx.doi.org/10.3390/electronics12030627.

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In this paper, we propose and validate a tactile sensory feedback system for prosthetic applications based on an optical communication link. The optical link features a low power and wide transmission bandwidth, which makes the feedback system suitable for a large number and variety of tactile sensors. The low-power transmission is derived from the employed UWB-based optical modulation technique. A system prototype, consisting of digital transmitter and receiver boards and acquisition circuits to interface 32 piezoelectric sensors, was implemented and experimentally tested. The system functionality was demonstrated by processing and transmitting data from the piezoelectric sensor at a 100 Mbps data rate through the optical link, measuring a communication energy consumption of 50 pJ/bit. The reported experimental results validate the functionality of the proposed sensory feedback system and demonstrate its real-time operation capabilities.

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Gebuis, Titia, and Bert Reynvoet. "The Neural Mechanism Underlying Ordinal Numerosity Processing." Journal of Cognitive Neuroscience 26, no. 5 (May 2014): 1013–20. http://dx.doi.org/10.1162/jocn_a_00541.

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Changes in the sensory properties of numerosity stimuli have a direct effect on the outcomes of nonsymbolic number tasks. This suggests a prominent role of sensory properties in numerosity processing. However, the current consensus holds that numerosity is processed independent of its sensory properties. To investigate the role of sensory cues in ordinal number processes, we manipulated both dimensions orthogonally. Participants passively viewed the stimuli while their brain activity was measured using EEG. The results revealed an interaction between numerosity and its sensory properties in the absence of main effects. Different neural responses were present for trials where numerosity and sensory cues changed in the same direction compared with trials where they changed in opposite directions. These results show that the sensory cues are expected to change in concert with numerosity and support the notion that the visual cues are taken into account when judging numerosity.

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Huri, Meral, Sinem Kars, Sedef Sahin, Serkan Pekcetin, and Babak Kashefi Mehr. "Senzorni obrasci djece s Williamsovim sindromom." Paediatria Croatica 67, no. 3-4 (December 31, 2023): 46–51. http://dx.doi.org/10.13112/pc.2023.8.

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Aim: Williams syndrome is a neurodevelopmental disorder caused by a deletion on chromosome 7. It is characterized by a range of medical problems in addition to the demonstration of maladaptive emotional and physical responses to environmental stimuli. Furthermore, sensory processing abnormalities are common in children with Williams syndrome. Therefore, this study aimed to report sensory processing difficulties in children with Williams syndrome in Turkey. Methods: Twenty-three children with Williams syndrome (mean age 63.16±13.50 months; females n=13) and twenty-two typically developing children (mean age 67.66±13.23 months; females n=12) were included. Parents completed the Sensory Profile Questionnaire. Data were analysed using descriptive statistics and the Mann-Whitney U test. Results: Children with Williams syndrome demonstrated sensory processing dysfunction in the sensory processing, modulation, behaviour and emotional response areas. Moreover, they have difficulties in low registration, sensation seeking, sensory sensitivity, sensation avoiding, sensory seeking, emotionally reactive low endurance/tone, oral sensitivity, inattention/distractibility, poor registration, sedentary behaviours, and fine motor/perceptual skills factors compared to their typically developing peers. Conclusions: These findings, considered with similar published studies, confirm the prevalence and types of sensory processing abnormalities in Williams syndrome

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