Hand Use and Grasp Sensor System in Monitoring Infant Fine Motor Development

Kuo, HsinHung; Wang, Jing; Schladen, Manon Maitland; Chang, Taeun; Morozova, Olga M.; Croce, Ugo Della; Kukke, Sahana N.; Lum, Peter S.

doi:10.1016/j.arrct.2022.100203

Cited by 3 publications

(5 citation statements)

References 33 publications

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“…One of the initial hypotheses of HUGS was that the type of sensory feedback babies received when they handled a toy—visual, auditory, or haptic—would influence the strength and duration of their grasp. This hypothesis was not supported by our analysis of data from the HUGS-1 pilot study [ 29 ]. However, the finding that infants did not modulate their grasp force or time to demonstrate a preference for auditory, visual, or tactile sensory feedback does not mean that sensory feedback in general has no effect on a child’s interest in manipulating a toy.…”

Section: Hugs-2 (April 2021–november 2022: Mid-lockdown Through Early...mentioning

confidence: 62%

“…Due to our small sample size, missing data, and data captured at unequal time points, we chose linear mixed modeling (LMM), a technique robust to such inconsistencies [ 28 ], to explore infant grasp. We were able to detect a positive change in grasp force and duration, as well as in the number of bimanual grasps, as babies grew older [ 29 ]. This finding provided basic validation of the concept that grasp magnitudes and infant age are linearly related.…”

Section: Hugs-1 (July 2019–march 2020 Pre-lockdown Covid-19)mentioning

confidence: 99%

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Evolution of a System to Monitor Infant Neuromotor Development in the Home: Lessons from COVID-19

et al. 2023

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In the nine months leading up to COVID-19, our biomedical engineering research group was in the very early stages of development and in-home testing of HUGS, the Hand Use and Grasp Sensor (HUGS) system. HUGS was conceived as a tool to allay parents’ anxiety by empowering them to monitor their infants’ neuromotor development at home. System focus was on the evolving patterns of hand grasp and general upper extremity movement, over time, in the naturalistic environment of the home, through analysis of data captured from force-sensor-embedded toys and 3D video as the baby played. By the end of March, 2020, as the COVID-19 pandemic accelerated and global lockdown ensued, home visits were no longer possible and HUGS system testing ground to an abrupt halt. In the spring of 2021, still under lockdown, we were able to resume recruitment and in-home testing with HUGS-2, a system whose key requirement was that it be contactless. Participating families managed the set up and use of HUGS-2, supported by a detailed library of video materials and virtual interaction with the HUGS team for training and troubleshooting over Zoom. Like the positive/negative poles of experience reported by new parents under the isolation mandated to combat the pandemic, HUGS research was both impeded and accelerated by having to rely solely on distance interactions to support parents, troubleshoot equipment, and securely transmit data. The objective of this current report is to chronicle the evolution of HUGS. We describe a system whose design and development straddle the pre- and post-pandemic worlds of family-centered health technology design. We identify and classify the clinical approaches to infant screening that predominated in the pre-COVID-19 milieu and describe how these procedural frameworks relate to the family-centered conceptualization of HUGS. We describe how working exclusively through the proxy of parents revealed the family’s priorities and goals for child interaction and surfaced HUGS design shortcomings that were not evident in researcher-managed, in-home testing prior to the pandemic.

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Section: Hugs-2 (April 2021–november 2022: Mid-lockdown Through Early...mentioning

confidence: 62%

Section: Hugs-1 (July 2019–march 2020 Pre-lockdown Covid-19)mentioning

confidence: 99%

Evolution of a System to Monitor Infant Neuromotor Development in the Home: Lessons from COVID-19

et al. 2023

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“…Nine toddlers were involved in the study at the Happy Healthcare Center in Surakarta, Indonesia. Toddlers were selected according to the criteria according to research by Kuo et al [17]. They are 9-15 months old and have an average BMI according to WHO (14.5-18.3).…”

Section: Methodsmentioning

confidence: 99%

Grip Strength and Body Balance in Static and Dynamic Push Walkers Measurement Using Force Sensing Resistors and Kinect System

Herdiman,

Susmartini,

Adi

2023

E3S Web of Conf.

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Most parents use push walkers to encourage toddlers in gross and fine motor stimulation to develop basic walking skills. Push walkers are a choice for parents other than baby walkers to help toddlers under one year learn to walk. The push walker options for toddlers include static (the shaft moves in place) and dynamic (moving mobile). This study aimed to compare the effect of push walkers between static and dynamic types on motor stimulation of toddlers using biomechanics by measuring hand grip strength and body balance. This research contributes to selecting a push walker for parents to support gross and fine motor development after agreeing on the consideration of the toddler expert panel for the toddler walking task simulation using a push walker involving nine toddlers according to body mass index. Simulation of toddler walking in two experimental sessions using static and dynamic push walkers in measuring hand grip strength using force-sensing resistors and body balance using the Kinect system with Vitruvius software. The grip strength value was tested by paired t-test to determine the significance of the grip strength value. Body balance values were tested by paired t-test to determine the significance of leg compression force and leg moment. Dynamic push walker has a greater value of grip strength than static, and p-value = 0.001 (< 0.005), providing good motor stimulation to toddlers when pushing with more muscular grip strength, allowing the toddler's hand muscles to tighten up. Static push walkers have a greater compression force and foot moment than dynamic and p-value = 0.001 (< 0.005), providing gross motoric stimulation to toddlers while walking in a balanced and stable manner, allowing the toddler's leg muscles to tighten up.

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“…Проспективное исследование 2832 моментов захвата предмета у 12 младенцев показало достоверное увеличение пиковой, средней силы хватания, а также времени удержания предмета по мере взросления ребенка (p<0,001). Данная технология может применяться при наблюдении за развитием ребенка в первый год жизни, а также являться важным диагностическим инструментов для объективного своевременного выявления задержки развития (рис.1) [18]. 8…”

Section: детский церебральный параличunclassified

“…1. Types of bar grasping by child [18] ЛИТЕРАТУРНЫЙ ОБЗОР 1. Обсервационный модуль -в данном разделе детям на персональном компьютере были показаны видео правильного выполнения определенных движений верхних конечностей;…”

Section: детский церебральный параличunclassified

Remote telemedicine technologies in pediatric neurology.

Shaderkina,

Alekseeva,

Batysheva

et al. 2023

RJTEH

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Introduction. Neurologic disorders make a significant contribution to overall morbidity. For example, in recent years in Moscow, the overall incidence of diseases of the nervous system in children is 7637.1 per 100.000 people. The chronic course of neurologic disorders and the need for long-term rehabilitation determine the widespread use of digital technologies in this area. Materials and methods. A literature review was conducted in the PubMed database. The inclusion criteria for studies were the use of digital technologies and the participation of patients under 18 years of age in testing and evaluating the effectiveness of these methods. Results. In this paper we reviewed the use of digital technologies in disorders such as cerebral palsy (CP), epilepsy, headaches including migraines, and multiple sclerosis. Modern wearable diagnostic and neuroimaging devices have been described. In the treatment of cerebral palsy, home rehabilitation options are receiving high interest. The most common area in which remote monitoring is used is the chronic headaches monitoring. Many available solutions have been developed in this area, such as digital diaries, which are used to identify the causes and triggers of migraines exacerbations and tension headaches. Telemedicine consultations increase patient access to neurological and neurosurgical care, and use of teleconsultations is increasing rapidly in recent years. Conclusion. Thus, there is currently an active development of digital technologies in pediatric neurology. Telemedicine consultations, virtual and augmented reality technologies, and the use of applications on smartphones and related devices are becoming new high-quality and objective methods of patient management.

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Hand Use and Grasp Sensor System in Monitoring Infant Fine Motor Development

Cited by 3 publications

References 33 publications

Evolution of a System to Monitor Infant Neuromotor Development in the Home: Lessons from COVID-19

Evolution of a System to Monitor Infant Neuromotor Development in the Home: Lessons from COVID-19

Grip Strength and Body Balance in Static and Dynamic Push Walkers Measurement Using Force Sensing Resistors and Kinect System

Remote telemedicine technologies in pediatric neurology.

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