Smart wearables addressing gait disorders: A review DOI
Nupur Biswas,

Shweta Chakrabarti,

L. Jones

et al.

Materials Today Communications, Journal Year: 2023, Volume and Issue: 35, P. 106250 - 106250

Published: May 20, 2023

Language: Английский

Integration of force and IMU sensors for developing low-cost portable gait measurement system in lower extremities DOI Creative Commons
Udomporn Manupibul,

Ratikanlaya Tanthuwapathom,

Wimonrat Jarumethitanont

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: June 30, 2023

Gait analysis is the method to accumulate walking data. It useful in diagnosing diseases, follow-up of symptoms, and rehabilitation post-treatment. Several techniques have been developed assess human gait. In laboratory, gait parameters are analyzed by using a camera capture force plate. However, there several limitations, such as high operating costs, need for laboratory specialist operate system, long preparation time. This paper presents development low-cost portable measurement system integration flexible sensors IMU outdoor applications early detection abnormal daily living. The device designed measure ground reaction force, acceleration, angular velocity, joint angles lower extremities. commercialized device, including motion (Motive-OptiTrack) platform (MatScan), used reference validate performance system. results show that it has accuracy measuring limbs. strong correlation coefficient compared with percent error sensor below 8%, than 3%. user interface was successfully non-laboratory support healthcare applications.

Language: Английский

Citations

14

Enhancing pneumonia diagnosis with ensemble-modified classifier and transfer learning in deep-CNN based classification of chest radiographs DOI

S. Rajeashwari,

K. Arunesh

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 93, P. 106130 - 106130

Published: Feb. 28, 2024

Language: Английский

Citations

5

Automated Detection of COVID-19 Cases on Radiographs using Shape-Dependent Fibonacci-p Patterns DOI Creative Commons
Karen Panetta, Foram M. Sanghavi, Sos С. Agaian

et al.

IEEE Journal of Biomedical and Health Informatics, Journal Year: 2021, Volume and Issue: 25(6), P. 1852 - 1863

Published: March 31, 2021

The coronavirus (COVID-19) pandemic has been adversely affecting people's health globally. To diminish the effect of this widespread pandemic, it is essential to detect COVID-19 cases as quickly possible. Chest radiographs are less expensive and a widely available imaging modality for detecting chest pathology compared with CT images. They play vital role in early prediction developing treatment plans suspected or confirmed infection patients. In paper, novel shape-dependent Fibonacci-p patterns-based feature descriptor using machine learning approach proposed. Computer simulations show that presented system (1) increases effectiveness differentiating COVID-19, viral pneumonia, normal conditions, (2) effective on small datasets, (3) faster inference time deep methods comparable performance. performed two publicly datasets; (a) Kaggle dataset, (b) COVIDGR dataset. assess performance system, various evaluation parameters, such accuracy, recall, specificity, precision, f1-score used. Nearly 100% differentiation between observed three-class classification scheme lung area-specific radiographs. While Recall 72.65 ± 6.83 specificity 77.72 8.06

Language: Английский

Citations

32

A 3D-Printed Capacitive Smart Insole for Plantar Pressure Monitoring DOI Creative Commons
Anastasios G. Samarentsis, Georgios Makris,

Sofia Spinthaki

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(24), P. 9725 - 9725

Published: Dec. 12, 2022

Gait analysis refers to the systematic study of human locomotion and finds numerous applications in fields clinical monitoring, rehabilitation, sports science robotics. Wearable sensors for real-time gait monitoring have emerged as an attractive alternative traditional clinical-based techniques, owing their low cost portability. In addition, 3D printing technology has recently drawn increased interest manufacturing sensors, considering advantages diminished fabrication time. this study, we report development a 3D-printed capacitive smart insole measurement plantar pressure. Initially, novel pressure sensor was fabricated its sensing performance evaluated. The exhibited sensitivity 1.19 MPa−1, wide working range (<872.4 kPa), excellent stability durability (at least 2.280 cycles), great linearity (R2=0.993), fast response/recovery time (142−160 ms), hysteresis (DH<10%) ability support broad spectrum speeds (30−70 steps/min). Subsequently, 16 were integrated into that successfully applied dynamic mapping proven able distinguish various phases. We consider presented here is simple, easy manufacture cost-effective solution with potential real-world applications.

Language: Английский

Citations

20

Smart wearables addressing gait disorders: A review DOI
Nupur Biswas,

Shweta Chakrabarti,

L. Jones

et al.

Materials Today Communications, Journal Year: 2023, Volume and Issue: 35, P. 106250 - 106250

Published: May 20, 2023

Language: Английский

Citations

11