scholarly journals Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4422
Author(s):  
Paul D. Rosero-Montalvo ◽  
Edison A. Fuentes-Hernández ◽  
Manuel E. Morocho-Cayamcela ◽  
Luz M. Sierra-Martínez ◽  
Diego H. Peluffo-Ordóñez
Keyword(s):  
Early Detection ◽  
Embedded System ◽  
Data Acquisition ◽  
School Children ◽  
Pressure Sensors ◽  
Foot Deformities ◽  
Flat Feet ◽  
Child Patients ◽  
Pediatric Foot ◽  
Serious Injuries

The analysis of plantar pressure through podometry has allowed analyzing and detecting different types of disorders and treatments in child patients. Early detection of an inadequate distribution of the patient’s weight can prevent serious injuries to the knees and lower spine. In this paper, an embedded system capable of detecting the presence of normal, flat, or arched footprints using resistive pressure sensors was proposed. For this purpose, both hardware- and software-related criteria were studied for an improved data acquisition through signal coupling and filtering processes. Subsequently, learning algorithms allowed us to estimate the type of footprint biomechanics in preschool and school children volunteers. As a result, the proposed algorithm achieved an overall classification accuracy of 97.2%. A flat feet share of 60% was encountered in a sample of 1000 preschool children. Similarly, flat feet were observed in 52% of a sample of 600 school children.

scholarly journals Early Detection of Freezing of Gait during Walking Using Inertial Measurement Unit and Plantar Pressure Distribution Data

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2246
Author(s):  
Scott Pardoel ◽  
Gaurav Shalin ◽  
Julie Nantel ◽  
Edward D. Lemaire ◽  
Jonathan Kofman
Keyword(s):  
Early Detection ◽  
Plantar Pressure ◽  
Inertial Measurement Unit ◽  
Binary Classification ◽  
Freezing Of Gait ◽  
Pressure Sensors ◽  
Measurement Unit ◽  
Distribution Data ◽  
Inertial Measurement ◽  
Plantar Pressure Distribution

Freezing of gait (FOG) is a sudden and highly disruptive gait dysfunction that appears in mid to late-stage Parkinson’s disease (PD) and can lead to falling and injury. A system that predicts freezing before it occurs or detects freezing immediately after onset would generate an opportunity for FOG prevention or mitigation and thus enhance safe mobility and quality of life. This research used accelerometer, gyroscope, and plantar pressure sensors to extract 861 features from walking data collected from 11 people with FOG. Minimum-redundancy maximum-relevance and Relief-F feature selection were performed prior to training boosted ensembles of decision trees. The binary classification models identified Total-FOG or No FOG states, wherein the Total-FOG class included data windows from 2 s before the FOG onset until the end of the FOG episode. Three feature sets were compared: plantar pressure, inertial measurement unit (IMU), and both plantar pressure and IMU features. The plantar-pressure-only model had the greatest sensitivity and the IMU-only model had the greatest specificity. The best overall model used the combination of plantar pressure and IMU features, achieving 76.4% sensitivity and 86.2% specificity. Next, the Total-FOG class components were evaluated individually (i.e., Pre-FOG windows, Freeze windows, transition windows between Pre-FOG and Freeze). The best model detected windows that contained both Pre-FOG and FOG data with 85.2% sensitivity, which is equivalent to detecting FOG less than 1 s after the freeze began. Windows of FOG data were detected with 93.4% sensitivity. The IMU and plantar pressure feature-based model slightly outperformed models that used data from a single sensor type. The model achieved early detection by identifying the transition from Pre-FOG to FOG while maintaining excellent FOG detection performance (93.4% sensitivity). Therefore, if used as part of an intelligent, real-time FOG identification and cueing system, even if the Pre-FOG state were missed, the model would perform well as a freeze detection and cueing system that could improve the mobility and independence of people with PD during their daily activities.

Is there a correlation between static radiographs and dynamic foot function in pediatric foot deformities?

2020 ◽  
Vol 26 (7) ◽  
pp. 801-809
Author(s):  
Harald Böhm ◽  
Leonhard Döderlein ◽  
Albert Fujak ◽  
Chakravarty U. Dussa
Keyword(s):  
Foot Deformities ◽  
Pediatric Foot ◽  
Foot Function

A hardware/software codesign for improved data acquisition in a processor based embedded system

2000 ◽  
Vol 24 (3) ◽  
pp. 129-134 ◽  
Author(s):  
F. Thomas ◽  
M.M. Nayak ◽  
S. Udupa ◽  
J.K. Kishore ◽  
V.K. Agrawal
Keyword(s):  
Embedded System ◽  
Data Acquisition

Letter to the Editor

PEDIATRICS ◽  
1974 ◽  
Vol 53 (3) ◽  
pp. 444-445
Author(s):  
Priscilla White
Keyword(s):  
Early Detection ◽  
Insulin Therapy ◽  
School Children ◽  
Letter To The Editor ◽  
Childhood Population

I am in favor of Doctor Feeman's proposal for early detection of diabetes in the childhood population. Among other reasons, the rate of diabetes in the childhood population is unknown. Formerly in a house-to-house canvas the rate was believed to be one child in 2,400. A recent study of school children in Detroit showed that one child in 600 had been diagnosed as having diabetes. These statistics contain some errors as a few of these children were diagnosed as individuals with diabetes but were not requiring insulin therapy.

scholarly journals Prevalence and structure of foot deformities in primary school children

2020 ◽  
Vol 36 (6) ◽  
pp. 33-40
Author(s):  
N. I. Averyanova ◽  
V. V. Pristupova ◽  
A. I. Semerikova ◽  
I. L. Starkova
Keyword(s):  
Early Diagnosis ◽  
Primary School ◽  
School Children ◽  
Primary School Children ◽  
Foot Deformities ◽  
Main Method ◽  
High Prevalence

Aim. To study the prevalence and structure of deformity of the foot in primary school children (pupils of the 1st- 4th grades). Materials and methods. The study involved 277 children aged 7-10 years. The main method of investigation used was computed plantography by means of electronic baropodometer PadProfessional. Results. Deformity of the foot was detected in 58% of children 65.3% of boys and 52.3% of girls (p 0.05). The following pathology was revealed: platypodia, increase in the load on the calcaneal part of the foot and malposition of the foot. The most common pathology was platypodia diagnosed in 28.2% of children. Conclusions. High prevalence of foot deformities requires their early diagnosis and correction as well as improvement of parents knowledge regarding this problem.

Common Foot and Ankle Disorders in Adults and Children

2015 ◽  
Vol 19 (2) ◽  
pp. 54-65 ◽  
Author(s):  
Ganesan Balasankar ◽  
Luximon Ameersing
Keyword(s):  
Soft Tissues ◽  
Adult Population ◽  
Complex Structure ◽  
Whole Body ◽  
Clinical Aspects ◽  
Foot Deformities ◽  
Foot And Ankle ◽  
Human Foot ◽  
Flat Feet ◽  
Adults And Children

The human foot is a complex structure, which includes bones, joints, muscles, ligaments, soft tissues, nerves and veins. It supports the weight of the whole body and helps one to walk, run, and jump. Ankle and foot biomechanical functions that are interrupted by various pathological deformities lead to pain or other deformities, and result in difficulties during mobility. Foot problems are very common in children and adults. In this article, attempts are made to explore the clinical aspects of the most common foot and ankle deformities and their management by children and adults. Foot deformities may be congenital or acquired, and may involve arthritis conditions, such as rheumatoid arthritis and osteoarthritis. In children, congenital clubfoot, cavus, and flat feet are the most common disorders and can be treated by non-operative means or surgical management. Hallux valgus and rigidus, lesser toe deformities, and arthritis are mostly present with or without pain in the adult population.

Management of pediatric foot deformities: an imaging review

2019 ◽  
Vol 49 (12) ◽  
pp. 1678-1690
Author(s):  
Matthew J. Winfeld ◽  
Brittany E. Winfeld
Keyword(s):  
Foot Deformities ◽  
Pediatric Foot
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