Comparison between Piezoelectric and Piezoresistive Wearable Gait Monitoring Techniques

Zhang, Zhiyuan; Xu, Zhenyu; Chen, Wenbin; Gao, Shuo

doi:10.3390/ma15144837

Cited by 3 publications

(4 citation statements)

References 97 publications

(239 reference statements)

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“… 39 Because of the wide application of piezoelectric and piezoresistive sensors in measuring plantar pressure, their wearable gait monitoring techniques were compared. 40 …”

Section: Resultsmentioning

confidence: 99%

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

et al. 2023

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Objective Neurodegenerative diseases affect millions of families around the world, while various wearable sensors and corresponding data analysis can be of great support for clinical diagnosis and health assessment. This systematic review aims to provide a comprehensive overview of the existing research that uses wearable sensors and features for the diagnosis of neurodegenerative diseases. Methods A systematic review was conducted of studies published between 2015 and 2022 in major scientific databases such as Web of Science, Google Scholar, PubMed, and Scopes. The obtained studies were analyzed and organized into the process of diagnosis: wearable sensors, feature extraction, and feature selection. Results The search led to 171 eligible studies included in this overview. Wearable sensors such as force sensors, inertial sensors, electromyography, electroencephalography, acoustic sensors, optical fiber sensors, and global positioning systems were employed to monitor and diagnose neurodegenerative diseases. Various features including physical features, statistical features, nonlinear features, and features from the network can be extracted from these wearable sensors, and the alteration of features toward neurodegenerative diseases was illustrated. Moreover, different kinds of feature selection methods such as filter, wrapper, and embedded methods help to find the distinctive indicator of the diseases and benefit to a better diagnosis performance. Conclusions This systematic review enables a comprehensive understanding of wearable sensors and features for the diagnosis of neurodegenerative diseases.

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“… 39 Because of the wide application of piezoelectric and piezoresistive sensors in measuring plantar pressure, their wearable gait monitoring techniques were compared. 40 …”

Section: Resultsmentioning

confidence: 99%

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

et al. 2023

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“…Insole sensors are designed with the purpose of measuring temporal and spatial gait parameters such as cycle time, swing and stance phase, step and stride length, and pressure distribution [ 9 ]. Traditionally, these objectives are achieved through plantar force sensing mechanisms, which include piezoresistive, resistive, capacitive, piezoelectric, and temperature-humidity methods, as illustrated in Figure 1 .…”

Section: Literature Review About Mainstream Detecting Methodsmentioning

confidence: 99%

“…For this purpose, researchers in [ 45 ] developed a portable, stretchable, and flexible insole monitoring system based on an active-matrix sensing array (AMSA). This array is constructed on a PCB and utilizes PVDF as a sensing material, ensuring its stability and ability to detect shear pressure [ 9 ]. To provide more detailed medical data, they employed a support vector machine (SVM) model to classify five common human postures and actions: jump, walk, jog, squat, and half squat [ 45 ].…”

Section: The Reconstruction Of Plantar Pressure From Gait Datamentioning

confidence: 99%

“…For instance, traditional resistive sensing technology is unable to detect shear stress [ 9 ], and piezoelectric sensing technology, due to the presence of piezoelectric effect in different directions [ 9 ], reduces the accuracy of detecting vertical pressure. Moreover, the sensor itself has noise, temperature drift, and zero drift, and there is relative slippage between the user’s foot and the insole, all of which decrease the accuracy of the collected data [ 46 ].…”

Section: Challenges and Outlookmentioning

confidence: 99%

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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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Use of Smart Materials in Physiotherapy

Verma,

Akhai,

Wadhwa

2024

Advances in Medical Technologies and Clinical Practice

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This chapter explores the use of smart materials in physiotherapy, highlighting their potential to revolutionize patient care and rehabilitation practices. It discusses various types of smart materials, such as shape memory alloys, electroactive polymers, piezoelectric materials, magnetorheological materials, and thermoresponsive polymers, and their unique properties and applications. The chapter also discusses the use of smart materials in assistive devices, wearable technology, rehabilitation, pain management, and tissue healing. The advantages of smart materials include personalization, real-time monitoring capabilities, and non-invasive nature. However, challenges such as cost, integration with existing healthcare systems, and durability concerns need to be addressed. The chapter concludes by exploring future advancements in smart materials, integrating them with other technologies like AI, robotics, and nanotechnology. Ethical considerations and patient acceptance are also emphasized to ensure responsible and patient-centric adoption.

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Comparison between Piezoelectric and Piezoresistive Wearable Gait Monitoring Techniques

Cited by 3 publications

References 97 publications

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

Use of Smart Materials in Physiotherapy

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