Dynamic foot plantar measurement platform using optical sensors

Nampeng, Jindapa; Visitsattapongse, Sarinporn; Pintavirooj, C.

doi:10.1109/bmeicon.2017.8229159

Cited by 4 publications

(1 citation statement)

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“…An FSR works by mapping the footprint using a vector of RSs. Other works, such as [ 27 , 28 , 29 ], have used several types of sensors in order to increase the precision of the data acquisition. However, the implementation cost increases significantly.…”

Section: Related Workmentioning

confidence: 99%

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

Rosero-Montalvo

Fuentes-Hernández

Morocho-Cayamcela

et al. 2021

Sensors

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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.

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Section: Related Workmentioning

confidence: 99%