Smart insole sensors for sports and rehabilitation

Tamm, Tarmo; Pärlin, Karel; Tiimus, Tõnis; Leemets, Kaur; Terasmaa, T.; Must, Indrek

doi:10.1117/12.2045062

Cited by 8 publications

(8 citation statements)

References 13 publications

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“…It measures both the pressure distribution under 64 nodes arranged in the main plantar regions and the mean plantar pressure during walking activity with a sampling frequency of 20 Hz. While developing instrumented insoles, Tamm et al ( 31 ) focused mostly on accuracy, long-term stability and reproducibility, and time resolution. They proposed a thin, light weight self-contained platform for mobile wireless pressure sensing insole system with 24 separated points of measurement on the foot.…”

Section: The Existing Technologiesmentioning

confidence: 99%

A Technological Review of the Instrumented Footwear for Rehabilitation with a Focus on Parkinson’s Disease Patients

2016

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In this review article, we summarize systems for gait rehabilitation based on instrumented footwear and present a context of their usage in Parkinson’s disease (PD) patients’ auditory and haptic rehabilitation. We focus on the needs of PD patients, but since only a few systems were made with this purpose, we go through several applications used in different scenarios when gait detection and rehabilitation are considered. We present developments of the designs, possible improvements, and software challenges and requirements. We conclude that in order to build successful systems for PD patients’ gait rehabilitation, technological solutions from several studies have to be applied and combined with knowledge from auditory and haptic cueing.

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Section: The Existing Technologiesmentioning

confidence: 99%

A Technological Review of the Instrumented Footwear for Rehabilitation with a Focus on Parkinson’s Disease Patients

2016

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“…Currently, many studies have invested a lot of energy to develop insoles with the functionalities of energy harvesting and gait sensing, but in terms of flexibility and wearing comfort, socks are the best choices for gait analysis. [208][209][210][211] In addition, socks can be more widely used in indoor scenes than the insoles, such as wearing socks at home is much more suitable than wearing shoes. [206,212] As shown in Figure 6a, Zhang et al developed low-cost triboelectric intelligent socks (LTIS) for the collection of gait pattern.…”

Section: Self-powered Socksmentioning

confidence: 99%

Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin

Zhang

Wen

Sun

et al. 2022

Advanced Intelligent Systems

253

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With the development of 5G and Internet of Things (IoT), the era of big data‐driven product design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by recent breakthroughs in computing power and software architectures. In this regard, the digital twin, analyzing various sensor data with the help of AI algorithms, has become a cutting‐edge technology that connects the physical and virtual worlds, in which the various sensors are highly desirable to collect environmental information. However, although existing sensor technologies, including cameras, microphones, inertial measurement units, etc., are widely used as sensing elements for various applications, high‐power consumption and battery replacement of them is still a problem. Triboelectric nanogenerators (TENGs) as self‐powered sensors supply a feasible platform for realizing self‐sustainable and low‐power systems. Herein, the recent progress on TENG‐based intelligent systems, that is, wearable electronics, robot‐related systems, and smart homes, followed by prospective future development enabled by sensor fusion technology, is focused on. Finally, how to apply artificial intelligence to the design of intelligent sensor systems for the 5G and IoT era is discussed.

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“…Commercial capacitive insole products have similar advantages with piezoelectric plantar sensors, the common advantage prioritize durability and long-term utilization [17][18][19][20][21][22][23][24], which making them suitable for patient tracking. One existing product boasts a prolonged working lifetime, capable of supporting 100 km of running.…”

Section: Capacitive Techniquesmentioning

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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Smart insole sensors for sports and rehabilitation

Cited by 8 publications

References 13 publications

A Technological Review of the Instrumented Footwear for Rehabilitation with a Focus on Parkinson’s Disease Patients

A Technological Review of the Instrumented Footwear for Rehabilitation with a Focus on Parkinson’s Disease Patients

Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

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