Opto-electronic system for detection of flat foot by using estimation techniques: Study and approach of design

Navarro, Luis A.; García, David Álvarez; Villavicencio, Emilio A.; Torres, Miguel; Nakamura, Orlando K.; Huamani, Robinson; Yabar, L. F.

doi:10.1109/iembs.2010.5627842

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…The degree of foot deformity could be diagnosed and classified into seven levels based on the ratio between these areas. In his work [ 130 ], Luis A. Navarro developed a flatfoot detection platform consisting of a webcam and six FSR sensors, aiming to provide comprehensive information about the foot structure. The webcam collected data on arch length and width, while the force sensors measured the pressure at discrete plantar regions.…”

Section: Six Chronic Diseases and Corresponding Insole Systemsmentioning

confidence: 99%

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

Zhang,

Dai,

et al. 2023

Biosensors

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Some chronic diseases, including Parkinson’s disease (PD), diabetic foot, flat foot, stroke, elderly falling, and knee osteoarthritis (KOA), are related to orthopedic organs, nerves, and muscles. The interaction of these three parts will generate a comprehensive result: gait. Furthermore, the lesions in these regions can produce abnormal gait features. Therefore, monitoring the gait features can assist medical professionals in the diagnosis and analysis of these diseases. Nowadays, various insole systems based on different sensing techniques have been developed to monitor gait and aid in medical research. Hence, a detailed review of insole systems and their applications in disease management can greatly benefit researchers working in the field of medical engineering. This essay is composed of the following sections: the essay firstly provides an overview of the sensing mechanisms and parameters of typical insole systems based on different sensing techniques. Then this essay respectively discusses the three stages of gait parameters pre-processing, respectively: pressure reconstruction, feature extraction, and data normalization. Then, the relationship between gait features and pathogenic mechanisms is discussed, along with the introduction of insole systems that aid in medical research; Finally, the current challenges and future trends in the development of insole systems are discussed.

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Section: Six Chronic Diseases and Corresponding Insole Systemsmentioning

confidence: 99%

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

Zhang,

Dai,

et al. 2023

Biosensors

View full text Add to dashboard Cite

show abstract

“…Based on the ratio between the two areas, the foot deformity degree can be diagnosed and classified into 7 levels. In his work [88], Luis A. Navarro developed a flatfoot detection platform, composed of a webcam and 6 FSR sensors, to provide more comprehensive information about the foot structure. The webcam collected information on arch length and width, and the force sensors were used to obtain the pressure at discrete plantar regions.…”

Section: Flatfootmentioning

confidence: 99%

Insole Systems for Disease Diagnosis and Rehabilitation

Gao¹,

Zhang²,

Wang³

et al. 2022

Preprint

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Neurological and orthopedic chronic diseases are proven to numerous complications and related dysfunction for patients, and are leading factors of death and disability. Conventional methods of diagnosis and rehabilitation are conducted at hospitals. However, due to the aging society and controversial privacy protection, traditional methods implemented in medical institutions have faced numerous challenges. Hence, internet of healthcare things (IoHT) based techniques have recently begun to be implemented. In order to provide flexible utilization and secure privacy for patients, wearable devices, like whole body devices based on electromyography (EMG) and radio frequency identification (RFID) insole systems, based on gait-analysis were applied. Among these techniques, insole systems for medical analysis are more suitable, because the root cause of neurologic and orthopedic chronic diseases are directly related to several gait characteristics. Neurologic and orthopedic chronic diseases are caused by lesions of the central nervous system (CNS), peripheral nerves (PN) and orthopedic limbs, similarly gait features are comprehensive results generated by the coordination of CNS, PN and lower limbs However, owing to lack of standards for instrumentation and the knowledge gap between engineering and pathogenic mechanism, the medical application of insole systems and the development of IoHT are hindered. This article is presented to address these issues. In this context, five plantar sensing mechanisms and their related products will be overviewed. Next, pathogenic mechanisms and pathological gait features of six representative chronic neurologic diseases will be displayed. Likewise, the development of corresponding insole systems for supervision and recovery for these diseases will be reviewed as well. Finally, challenges and future trends for current work will be discussed. This article will not only provide guidelines for the design of insole systems targeted for specific diseases but will also inspire the innovation of novel ideas. <br>

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“…It has been suggested that the traditional visual judgment of flatfoot was too subjective, and that flatfoot should be detected by objective and accurate optical or electronic systems [ 23 ]. This study suggested how to design the insole-based plantar pressure instrument for flatfoot.…”

Section: Introductionmentioning

confidence: 99%

The Design and Application of Simplified Insole-Based Prototypes with Plantar Pressure Measurement for Fast Screening of Flat-Foot

Hsu

Sugiarto

Chen

et al. 2018

Sensors

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This study aimed to find the correlation between conventional Arch Index (AI) measurements and our prototype of a simplified insole-based plantar pressure measurement system and to find out the effective plantar pressure sensor position. Twenty-one subjects participated in this study, which was divided into two groups: 10 subjects with flatfoot and 11 subjects with normal foot. Five force sensitive resistance sensors were used on this prototype using Arduino as the data acquisition device. Two types of trials, namely static and dynamic, were conducted to validate our system against the ink-type AI measurement as a golden standard. The results showed that in the static trial, there was a high linear correlation with the medial arch sensor configuration, while in the dynamic trial, there was a high linear correlation in the medial arch sensor configuration and sensor 5 configuration. This study showed that both static and dynamic tests using the self-developed device could effectively determine most of the flatfoot subjects and suggests that in the future, it can be applied in clinical applications because of its advantages when compared to the expensive-high tech graphic input board and conventional tools, like ink-type based measurements.

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Opto-electronic system for detection of flat foot by using estimation techniques: Study and approach of design

Cited by 5 publications

References 4 publications

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

Insole Systems for Disease Diagnosis and Rehabilitation

The Design and Application of Simplified Insole-Based Prototypes with Plantar Pressure Measurement for Fast Screening of Flat-Foot

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