The Conceptual Design of a Smart Wrist Orthosis and Functional Performance - Project Overview DOI Creative Commons

Zoran Domitran,

Robert Mašović, Jure Serdar

и другие.

Tehnički glasnik, Год журнала: 2021, Номер 15(3), С. 387 - 391

Опубликована: Сен. 14, 2021

The idea of the project was to find a conceptual design multi-functional smart orthosis for wrist fixation. application additive technologies presents potential in designing customised every patient individually. By using pre-generated 3d models various hand shapes it is possible prepare several and sizes forearms hands. provides solution two-part bound around forearm modular extension stabilize without additional compression. multi-functionality occurs with development small pre-defined electronic plate located bottom part orthosis. temperature heart rate are constantly monitored displayed wirelessly on smartphone. target group patients active sports or minor injuries. Moreover, can be used body function monitoring during recovery period.

Язык: Английский

Advances in EMG measurement techniques, analysis procedures, and the impact of muscle mechanics on future requirements for the methodology DOI

Elisa Romero Avila,

S. Williams,

Catherine Disselhorst‐Klug

и другие.

Journal of Biomechanics, Год журнала: 2023, Номер 156, С. 111687 - 111687

Опубликована: Июнь 15, 2023

Язык: Английский

Процитировано

14

Wearable physiological monitoring of physical exercise and mental health: A systematic review DOI Creative Commons
Feifei Chen, Lulu Zhao, Lanlan Pang

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Applications of wearable sensors in upper extremity MSK conditions: a scoping review DOI Creative Commons

Sohrob Milani Zadeh,

Joy C. MacDermid, James A. Johnson

и другие.

Journal of NeuroEngineering and Rehabilitation, Год журнала: 2023, Номер 20(1)

Опубликована: Ноя. 18, 2023

This scoping review uniquely aims to map the current state of literature on applications wearable sensors in people with or at risk developing upper extremity musculoskeletal (UE-MSK) conditions, considering that MSK conditions disorders have highest rate prevalence among other types contribute need for rehabilitation services.

Язык: Английский

Процитировано

11

Energy and Performance Analysis of Lossless Compression Algorithms for Wireless EMG Sensors DOI Creative Commons
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti

и другие.

Sensors, Год журнала: 2021, Номер 21(15), С. 5160 - 5160

Опубликована: Июль 30, 2021

Electromyography (EMG) sensors produce a stream of data at rates that can easily saturate low-energy wireless link such as Bluetooth Low Energy (BLE), especially if more than few EMG channels are being transmitted simultaneously. Compressing thus be seen nice feature could allow both longer battery life and simultaneous the same time. A lot research has been done in lossy compression algorithms for data, but lossy, artifacts inevitably introduced signal. Some usually tolerable current applications. Nevertheless, some purposes to enable future on collected might need exploit various currently unforseen features had discarded by algorithms, lossless may very important, it guarantees no extra digitized The present paper aims demonstrating effectiveness approaches, investigating performance several their implementation real BLE sensor node. It is demonstrated required bandwidth halved, even reduced 1/4 an average case, complexity compressor kept low, also ensures significant power savings.

Язык: Английский

Процитировано

13

A Review on Assisted Living Using Wearable Devices DOI Creative Commons
Grazia Iadarola, Alessandro Mengarelli, Paolo Crippa

и другие.

Sensors, Год журнала: 2024, Номер 24(23), С. 7439 - 7439

Опубликована: Ноя. 21, 2024

Forecasts about the aging trend of world population agree on identifying increased life expectancy as a serious risk factor for financial sustainability social healthcare systems if not properly supported by innovative care management policies. Such policies should include integration within traditional services assistive technologies tools prolonging healthy and independent living at home, but also introducing innovations in clinical practice such long-term remote health monitoring. For their part, solutions active assisted have now reached high degree technological maturity, thanks to considerable amount research work carried out recent years develop highly reliable energy-efficient wearable sensors capable enabling development monitor activity physiological parameters over time, minimally invasive manner. This reviews role design solutions, focusing human recognition joint use onboard electromyography inertial measurement units acquisition related overall physical psychological conditions, heart skin conductance.

Язык: Английский

Процитировано

1

Automatic Assessment of Abdominal Exercises for the Treatment of Diastasis Recti Abdominis Using Electromyography and Machine Learning DOI Open Access

Menaka Radhakrishnan,

R. Karthik,

Avantika Kothandaraman

и другие.

Symmetry, Год журнала: 2022, Номер 14(8), С. 1654 - 1654

Опубликована: Авг. 10, 2022

Diastasis Recti Abdominis (DRA) is a medical condition in which the two sides of rectus abdominis muscle are separated by at least 2.7 cm. This happens when collagen sheath that exists between muscles stretches beyond certain limit. The recti generally separate and move apart pregnant women due to development fetus womb. In some cases, this intramuscular gap will not be closed on its own, leading DRA. primary treatment procedures DRA involve different therapeutic exercises reduce inter-recti distance. However, it tedious for physiotherapists constantly monitor patients ensure being done correctly. objective research analyze correctness such performed using electromyogram (EMG) signals machine learning. To best our knowledge, first work reporting evaluation rehabilitation Experimental studies indicate surface EMG were effective classifying correctly incorrectly movements. An extensive analysis was carried out with learning models classification. It inferred RUSBoosted Ensembled classifier differentiating these movements an accuracy 92.3%.

Язык: Английский

Процитировано

6

A High-bandwidth Wireless Wearable Armband Based on Surface Electromyography DOI
Yi Wang,

Youhao Wang

Опубликована: Авг. 18, 2023

Gesture recognition technology based on surface electromyography (sEMG) is essential in the field of human-machine interaction. Wearable armbands that collect sEMG data have gained significant attention from researchers and industries alike. However, existing myoelectric armband systems suffer deficiencies such as low signal quality insufficient channels. To tackle this challenge, we propose a 16-channel wireless high-precision system characterized by input-referred noise. This innovative offers increased channels, high sampling rate, improved accuracy, adaptable filter bandwidth. The measurements obtained using for assessment indicate its potential valuable instrument analyzing muscle electrical activity facilitating high-bandwidth, non-invasive, seamless natural interactions between humans machines.

Язык: Английский

Процитировано

2

The Conceptual Design of a Smart Wrist Orthosis and Functional Performance - Project Overview DOI Creative Commons

Zoran Domitran,

Robert Mašović, Jure Serdar

и другие.

Tehnički glasnik, Год журнала: 2021, Номер 15(3), С. 387 - 391

Опубликована: Сен. 14, 2021

The idea of the project was to find a conceptual design multi-functional smart orthosis for wrist fixation. application additive technologies presents potential in designing customised every patient individually. By using pre-generated 3d models various hand shapes it is possible prepare several and sizes forearms hands. provides solution two-part bound around forearm modular extension stabilize without additional compression. multi-functionality occurs with development small pre-defined electronic plate located bottom part orthosis. temperature heart rate are constantly monitored displayed wirelessly on smartphone. target group patients active sports or minor injuries. Moreover, can be used body function monitoring during recovery period.

Язык: Английский

Процитировано

0