Design of MEMS biomedical pressure sensor for gait analysis

Wahab, Yufridin; Zayegh, Aladin; Begg, Rezaul; Veljanovski, Ronny

doi:10.1109/smelec.2008.4770300

Cited by 14 publications

(11 citation statements)

References 10 publications

(12 reference statements)

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“…To provide a better alternative developments of a specifically designed miniature foot pressure sensor based on MEMS technology have been explored. In response to the needs of such sensors, Wahab et al [ 43 ] successfully designed, fabricated and tested a miniature foot pressure sensor based on MEMS technology that can be inserted in the insole of a shoe [ 43 ]. As reported by Wahab et al [ 43 ] significant performance enhancements have been achieved, for example, the sensor is small, has high-pressure range measurement capability, and excellent linearity both at low and high pressures and possesses negligible hysteresis.…”

Section: Commercial Foot Plantar Pressure Measurement Sensorsmentioning

confidence: 99%

“…Currently available in-shoe pressure sensor parameters are compared to Wahab et al [ 43 ] in Table 1 . Sensors from Vista Medical, Novel and Tekscan show some performance limitations as they are made of sheets of polymer or elastomer leading to issues such as repeatability, hysteresis, creep and non-linearity of the sensor output [ 29 ].…”

Section: Commercial Foot Plantar Pressure Measurement Sensorsmentioning

confidence: 99%

See 1 more Smart Citation

Foot Plantar Pressure Measurement System: A Review

Razak

Zayegh

Begg

et al. 2012

Sensors

Self Cite

605

258

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Foot plantar pressure is the pressure field that acts between the foot and the support surface during everyday locomotor activities. Information derived from such pressure measures is important in gait and posture research for diagnosing lower limb problems, footwear design, sport biomechanics, injury prevention and other applications. This paper reviews foot plantar sensors characteristics as reported in the literature in addition to foot plantar pressure measurement systems applied to a variety of research problems. Strengths and limitations of current systems are discussed and a wireless foot plantar pressure system is proposed suitable for measuring high pressure distributions under the foot with high accuracy and reliability. The novel system is based on highly linear pressure sensors with no hysteresis.

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Section: Commercial Foot Plantar Pressure Measurement Sensorsmentioning

confidence: 99%

Section: Commercial Foot Plantar Pressure Measurement Sensorsmentioning

confidence: 99%

Foot Plantar Pressure Measurement System: A Review

Razak

Zayegh

Begg

et al. 2012

Sensors

Self Cite

605

258

View full text Add to dashboard Cite

show abstract

“…Therefore, wearables are frequently considered as the the most suitable technology for the healthcare, security, sports, and fitness applications [30]- [32]. In gait analysis, accelerometers [33], [34], gyroscopes [35], Inertial Measurement Units (IMUs) [36] and force sensors [37] are widely used to measure gait characteristics [38]. For example, Derawi et al [33] measure the cycle length using a hip-worn accelerometer for gait based authentication.…”

Section: Introductionmentioning

confidence: 99%

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

et al. 2020

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Gait is the locomotion attained through the movement of limbs and gait analysis examines the patterns (normal/abnormal) depending on the gait cycle. It contributes to the development of various applications in the medical, security, sports, and fitness domains to improve the overall outcome. Among many available technologies, two emerging technologies that play a central role in modern day gait analysis are: A) wearable sensors which provide a convenient, efficient, and inexpensive way to collect data and B) Machine Learning Methods (MLMs) which enable high accuracy gait feature extraction for analysis. Given their prominent roles, this paper presents a review of the latest trends in gait analysis using wearable sensors and Machine Learning (ML). It explores the recent papers along with the publication details and key parameters such as sampling rates, MLMs, wearable sensors, number of sensors, and their locations. Furthermore, the paper provides recommendations for selecting a MLM, wearable sensor and its location for a specific application. Finally, it suggests some future directions for gait analysis and its applications.

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“…For example, plantar pressure can be measured by integrating a set of resistive, capacitive, piezo-resistive, or piezoelectric pressure sensors in the insole [41]. Other sensors that were also used in the literature for pressure detection include optical sensors [75] and MEMS (micro-electromechanical systems) sensors [120]. These sensors detect changes in pressure and convert it to an electrical value corresponding to the applied force.…”

Section: Sensor Selectionmentioning

confidence: 99%

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Subramaniam

Majumder

Faisal

et al. 2022

Sensors

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Wearable health monitoring devices allow for measuring physiological parameters without restricting individuals’ daily activities, providing information that is reflective of an individual’s health and well-being. However, these systems need to be accurate, power-efficient, unobtrusive and simple to use to enable a reliable, convenient, automatic and ubiquitous means of long-term health monitoring. One such system can be embedded in an insole to obtain physiological data from the plantar aspect of the foot that can be analyzed to gain insight into an individual’s health. This manuscript provides a comprehensive review of insole-based sensor systems that measure a variety of parameters useful for overall health monitoring, with a focus on insole-based PPD measurement systems developed in recent years. Existing solutions are reviewed, and several open issues are presented and discussed. The concept of a fully integrated insole-based health monitoring system and considerations for future work are described. By developing a system that is capable of measuring parameters such as PPD, gait characteristics, foot temperature and heart rate, a holistic understanding of an individual’s health and well-being can be obtained without interrupting day-to-day activities. The proposed device can have a multitude of applications, such as for pathology detection, tracking medical conditions and analyzing gait characteristics.

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Design of MEMS biomedical pressure sensor for gait analysis

Cited by 14 publications

References 10 publications

Foot Plantar Pressure Measurement System: A Review

Foot Plantar Pressure Measurement System: A Review

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

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