A Simple, Low-Cost Multi-Sensor-Based Smart Wearable Knee Monitoring System

Faisal, Abu Ilius; Majumder, Sumit; Scott, Ryan P.; Mondal, Tapas; Cowan, David; Deen, M. Jamal

doi:10.1109/jsen.2020.3044784

Cited by 25 publications

(13 citation statements)

References 51 publications

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“…e monitoring analysis and service of heart rate, frequency, pressure, diving depth, and altitude indicators are realized. e mainstream product forms of smart wearable devices include wrist-supported watch, footsupported shoes, head-supported glass, and various nonmainstream products such as smart clothing, school bags, crutches, and accessories [8][9][10][11][12][13][14][15]. e contribution for this work is as follows: (1) It identified the pain points in the youth basketball dribble training scene.…”

Section: Introductionmentioning

confidence: 99%

Posture Monitoring of Basketball Training Based on Intelligent Wearable Device

Hao

2022

Journal of Healthcare Engineering

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The relevant content of China’s sport work clearly pointed out that it is necessary to improve the physical and mental health of the citizens. Combining the current development hotspots of mobile smart terminals and smart wearable devices, smart wearable devices are analyzed from the function and development history in order to find an effective combination of smart wearable devices and sports work. This article describes the youth as the main body receiving grassroots physical education of nonsports special students and basketball enthusiasts. In the process of physical education teaching, the problem of pain points is more prominent because most teenagers in the basketball education at the grass-roots level do not have the opportunity to get one-to-one private counseling. When there are problems in the operation, students cannot be guided to conduct training or practice by themselves. This paper aims to meet the demand of real-time monitoring of dribbling posture in basketball dribbling training and proposes a low-cost product solution to help teenagers carry out basketball dribbling training by themselves: intelligent wearable product of head wrist and dribbling assistant DribbleAid, which is used to monitor common bad posture problems of users in dribbling training and give corresponding reminders to deal with users’ pain points. In this work, various experiments have been carried out for the proposed method and system. A large number of experimental results show that the method designed in this paper can effectively monitor the basketball training posture.

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Section: Introductionmentioning

confidence: 99%

Posture Monitoring of Basketball Training Based on Intelligent Wearable Device

Hao

2022

Journal of Healthcare Engineering

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“…As the wearable sensors are being progressively more comfortable and less obtrusive, they are an excellent choice for continuously monitoring an individual's health or wellness without interrupting their activities of daily living (ADLs) [71], [72], [73]. Therefore, it is no wonder that there is a growing trend among the researchers to develop wearable health monitoring systems to enable long-term monitoring at home [74], [75], [76], [77]. However, most devices reported in the literature do not support all the key parameters that are important for monitoring COVID-19 patients (Fig.…”

Section: Relevant Monitoring Systemsmentioning

confidence: 99%

A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases

Jiang

Majumder

Kumar

et al. 2022

IEEE Rev. Biomed. Eng.

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic since early 2020. The coronavirus disease 2019 (COVID-19) has already caused more than two million deaths worldwide and affected people's physical and mental health. COVID-19 patients with mild symptoms are generally required to selfisolate and monitor for symptoms at least for 14 days in the case the disease turns towards severe complications. In this work, we overviewed the impact of COVID-19 on the patients' general health with a focus on their cardiovascular, respiratory and mental health, and investigated several existing patient monitoring systems. We addressed the limitations of these systems and proposed a wearable telehealth solution for monitoring a set of physiological parameters that are critical for COVID-19 patients such as body temperature, heart rate, heart rate variability, blood oxygen saturation, respiratory rate, blood pressure, and cough. This physiological information can be further combined to potentially estimate the lung function using artificial intelligence (AI) and sensor fusion techniques. The prototype, which includes the hardware and a smartphone app, showed promising results with performance comparable to or better than similar commercial devices, thus potentially making the proposed system an ideal wearable solution for long-term monitoring of COVID-19 patients and other chronic diseases.

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“…As the obtained result reveal, the accuracy of the proposed filters is better than [29,[31][32][33]49] for all three angles. In reference [29], the static angle error was less than 2.5 degrees and the dynamic angle error was less than 3.5 degrees and also, a mean RMSE of 3.3 degrees was reported in [31].…”

Section: Accuracy In the Developed Systemmentioning

confidence: 99%

“…For this purpose, first, a small printed circuit board is developed for collecting the raw data, and then a complementary filter is proposed to estimate angular movement and eliminate stochastic and bias errors. The developed sensory system is tested and compared with a reference that the obtained results of the proposed filter reveal that accuracy improves by 40% compared to previous examples of angle estimation in [29,[31][32][33]. Then, the developed system is mounted on the ankle and knee of a volunteer and gait problems are diagnosed by taking a correlation between the angular output of the ankle and knee.…”

Section: Introductionmentioning

confidence: 99%

Diagnosing gait disorders based on angular variations of knee and ankle joints utilizing a developed wearable motion sensor

Akhavanhezaveh

Abbasi-Kesbi

2021

Healthcare Tech Letters

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Here, a sensory motion system is developed to diagnose gait disorders using the estimation of angular variations in the knee and ankle joints. The sensory system includes two transmitter sensors and a central node, where each transmitter comprises three sensors of accelerometer, gyroscopes, and magnetometer to estimate the angular movements in the ankle and knee joints. By using a proposed filter, the angular variation is estimated in a personal computer employing the raw data of the motion sensors that are sent by the central node. The obtained results of the presented filter in comparison to an actual reference illustrate that the root mean square error is less than 1.01, 1.34, and 1.61 degrees, respectively, for the angles of and and that illustrate an improvement of 40% than the previous work. Moreover, a quantity value is defined based on the correlation between knee and ankle angles that show the amount of correctness in gating. Thus, the proposed system can be utilized for people who suffer problems in gait and help them to improve their movements.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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A Simple, Low-Cost Multi-Sensor-Based Smart Wearable Knee Monitoring System

Cited by 25 publications

References 51 publications

Posture Monitoring of Basketball Training Based on Intelligent Wearable Device

Posture Monitoring of Basketball Training Based on Intelligent Wearable Device

A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases

Diagnosing gait disorders based on angular variations of knee and ankle joints utilizing a developed wearable motion sensor

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