ArticleIEEE transactions on bio-medical engineering2020
A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics.
Article in IEEE transactions on bio-medical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- KNEESENSE: a low-cost wearable system with hydraulic filament sensing for real-time knee rehabilitation monitoring.Scientific reports · 2026Article
- Healthcare Monitoring Using Low-Cost Sensors to Supplement and Replace Human Sensation: Does It Have Potential to Increase Independent Living and Prevent Disease?Sensors (Basel, Switzerland) · 2023Review
- Bending Angle Sensor Based on Double-Layer Capacitance Suitable for Human Joint.IEEE open journal of engineering in medicine and biology · 2023Article
- Estimating Ground Reaction Force and Center of Pressure Using Low-Cost Wearable Devices.IEEE transactions on bio-medical engineering · 2022Article
- Biomechanics beyond the lab: Remote technology for osteoarthritis patient data-A scoping review.Frontiers in rehabilitation sciences · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectiveAccurate monitoring of joint kinematics in individuals with neuromuscular and musculoskeletal disorders within ambulatory settings could provide important information about changes in disease status and the effectiveness of rehabilitation programs and/or pharmacological treatments. This paper introduces a reliable, power efficient, and low-cost wearable system designed for the long-term monitoring of joint kinematics in ambulatory settings.
methodsSeventeen healthy subjects wore a retractable string sensor, fixed to two anchor points on the opposing segments of the knee joint, while walking at three different self-selected speeds. Joint angles were estimated from calibrated sensor values and their derivatives in a leave-one-subject-out cross validation manner using a random forest algorithm.
resultsThe proposed system estimated knee flexion/extension angles with a root mean square error (RMSE) of 5.0
conclusionThe proposed wearable device can accurately estimate knee flexion/extension angles during locomotion at various walking speeds. SIGNIFICANCE: We believe that our novel wearable technology has great potential to enable joint kinematic monitoring in ambulatory settings and thus provide clinicians with an opportunity to closely monitor joint recovery, develop optimal, personalized rehabilitation programs, and ultimately maximize therapeutic outcomes.
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Registered trials
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