Using wearable UWB radios to measure foot clearance during walking

Qi, Yongbin; Soh, Christina; Gunawan, E.; Low, Kay Soon; Maskooki, Arash

doi:10.1109/embc.2013.6610720

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…The Wang et al [26] paper, which was the only paper that tested their system outdoors, did not report any performance metrics on MFC measurement. Yongbin Qi et al [33] reported the smallest error among these papers, showed great promise in the UWB technology. However, it is worth noting that Yongbin Qi et al [33] validated their system against an ultrasound system, which is more prone to error compared to an optical motion capture system.…”

Section: Performance Complexity and Portabilitymentioning

confidence: 99%

“…Yongbin Qi et al [33] reported the smallest error among these papers, showed great promise in the UWB technology. However, it is worth noting that Yongbin Qi et al [33] validated their system against an ultrasound system, which is more prone to error compared to an optical motion capture system. Zhang et al [25] have struck a good balance between portability, performance, and complexity.…”

Section: Performance Complexity and Portabilitymentioning

confidence: 99%

“…We also noted that a number of papers either did not compare their system against a gold standard at all, or compared it against systems that did not have well-defined performance themselves [24,[26][27][28]31,33]. For instance, Yongbin Qi et al [33], reported very low errors, but compared performance against an ultrasound system and failed to report the accuracy of their gold standard system. Another example is Wahab et al's study [31], which validated their system against a ruler.…”

Section: Performance Complexity and Portabilitymentioning

confidence: 99%

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A Scoping Review on Minimum Foot Clearance Measurement: Sensing Modalities

Delfi

Bochi

Dutta

2021

IJERPH

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Background: Falls are a major public health issue and tripping is the most common self-reported cause of outdoor falls. Minimum foot clearance (MFC) is a key parameter for identifying the probability of tripping. Optical motion capture systems are commonly used to measure MFC values; however, there is a need to identify alternative modalities that are better suited to collecting data in real-world settings. Objective: This is the first of a two-part scoping review. The objective of this paper is to identify and evaluate alternative measurement modalities to optical motion capture systems for measuring level-ground MFC. A companion paper identifies conditions that impact MFC and the range of MFC values individuals that these conditions exhibit. Methods: We searched four electronic databases, where peer-reviewed journals and conference papers reporting level-ground MFC characteristics were identified. The papers were screened by two independent reviewers for inclusion. The reporting was done in keeping with the PRISMA-ScR reporting guidelines. Results: From an initial search of 1571 papers, 17 papers were included in this paper. The identified technologies were inertial measurement units (IMUs) (n = 10), ultrasonic sensors (n = 2), infrared sensors (IR) (n = 2), optical proximity sensors (OPS) (n = 1), laser ranging sensors (n = 1), and ultra-wideband sensors (n = 1). From the papers, we extracted the sensor type, the analysis methods, the properties of the proposed system, and its accuracy and validation methods. Conclusions: The two most commonly used alternative modalities were IMUs and OPS. There was a lack of standardization among studies utilizing the same measurement modalities, as well as discrepancies in the methods used to assess performance. We provide a list of recommendations for future work to allow for more meaningful comparison between modalities as well as future research directions.

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Section: Performance Complexity and Portabilitymentioning

confidence: 99%

Section: Performance Complexity and Portabilitymentioning

confidence: 99%

Section: Performance Complexity and Portabilitymentioning

confidence: 99%

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A Scoping Review on Minimum Foot Clearance Measurement: Sensing Modalities

Delfi

Bochi

Dutta

2021

IJERPH

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Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise

Soh

Gunawan

et al. 2015

Sensors

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This paper presents an unrestrained measurement system based on a wearable wireless ultrasonic sensor network to track the lower extremity joint and trunk kinematics during a squat exercise with only one ultrasonic sensor attached to the trunk. The system consists of an ultrasound transmitter (mobile) and multiple receivers (anchors) whose positions are known. The proposed system measures the horizontal and vertical displacement, together with known joint constraints, to estimate joint flexion/extension angles using an inverse kinematic model based on the damped least-squares technique. The performance of the proposed ultrasonic measurement system was validated against a camera-based tracking system on eight healthy subjects performing a planar squat exercise. Joint angles estimated from the ultrasonic system showed a root mean square error (RMSE) of 2.85° ± 0.57° with the reference system. Statistical analysis indicated great agreements between these two systems with a Pearson's correlation coefficient (PCC) value larger than 0.99 for all joint angles' estimation. These results show that the proposed ultrasonic measurement system is useful for applications, such as rehabilitation and sports.

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Markerless Radio Frequency Indoor Monitoring for Telemedicine: Gait Analysis, Indoor Positioning, Fall Detection, Tremor Analysis, Vital Signs and Sleep Monitoring

Biase

Pecoraro

et al. 2022

Sensors

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Quantitative indoor monitoring, in a low-invasive and accurate way, is still an unmet need in clinical practice. Indoor environments are more challenging than outdoor environments, and are where patients experience difficulty in performing activities of daily living (ADLs). In line with the recent trends of telemedicine, there is an ongoing positive impulse in moving medical assistance and management from hospitals to home settings. Different technologies have been proposed for indoor monitoring over the past decades, with different degrees of invasiveness, complexity, and capabilities in full-body monitoring. The major classes of devices proposed are inertial-based sensors (IMU), vision-based devices, and geomagnetic and radiofrequency (RF) based sensors. In recent years, among all available technologies, there has been an increasing interest in using RF-based technology because it can provide a more accurate and reliable method of tracking patients’ movements compared to other methods, such as camera-based systems or wearable sensors. Indeed, RF technology compared to the other two techniques has higher compliance, low energy consumption, does not need to be worn, is less susceptible to noise, is not affected by lighting or other physical obstacles, has a high temporal resolution without a limited angle of view, and fewer privacy issues. The aim of the present narrative review was to describe the potential applications of RF-based indoor monitoring techniques and highlight their differences compared to other monitoring technologies.

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Using wearable UWB radios to measure foot clearance during walking

Cited by 5 publications

References 14 publications

A Scoping Review on Minimum Foot Clearance Measurement: Sensing Modalities

A Scoping Review on Minimum Foot Clearance Measurement: Sensing Modalities

Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise

Markerless Radio Frequency Indoor Monitoring for Telemedicine: Gait Analysis, Indoor Positioning, Fall Detection, Tremor Analysis, Vital Signs and Sleep Monitoring

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