Recent advances in wearable biosensing gloves and sensory feedback biosystems for enhancing rehabilitation, prostheses, healthcare, and virtual reality

Demolder, Carl; Molina, Alicia; Hammond, Frank L.; Yeo, Woon‐Hong

doi:10.1016/j.bios.2021.113443

Cited by 74 publications

(42 citation statements)

References 92 publications

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“…Schwenk et al used inertial sensors equipped with gyroscopes and accelerometers on the lower limbs connected to the VRR software, to deliver error-based retraining in the motor tasks required. Many previous studies also integrated VR with other technologies, utilizing the VR software to process the data sent live from different digital rehabilitation tools including treadmills [40,[84][85][86][87][88], data gloves [89][90][91], and robotically-assisted orthoses [92][93][94][95][96]. So, regarding this subject, we aim to stress how VR software can represent an integration platform for the function of many devices currently being tested or already clinically used in the rehabilitation field and for cancer survivors.…”

Section: Discussionmentioning

confidence: 99%

Virtual Reality Rehabilitation Systems for Cancer Survivors: A Narrative Review of the Literature

Melillo

Chirico

Pietro

et al. 2022

Cancers

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Rehabilitation plays a crucial role in cancer care, as the functioning of cancer survivors is frequently compromised by impairments that can result from the disease itself but also from the long-term sequelae of the treatment. Nevertheless, the current literature shows that only a minority of patients receive physical and/or cognitive rehabilitation. This lack of rehabilitative care is a consequence of many factors, one of which includes the transportation issues linked to disability that limit the patient’s access to rehabilitation facilities. The recent COVID-19 pandemic has further shown the benefits of improving telemedicine and home-based rehabilitative interventions to facilitate the delivery of rehabilitation programs when attendance at healthcare facilities is an obstacle. In recent years, researchers have been investigating the benefits of the application of virtual reality to rehabilitation. Virtual reality is shown to improve adherence and training intensity through gamification, allow the replication of real-life scenarios, and stimulate patients in a multimodal manner. In our present work, we offer an overview of the present literature on virtual reality-implemented cancer rehabilitation. The existence of wide margins for technological development allows us to expect further improvements, but more randomized controlled trials are needed to confirm the hypothesis that VRR may improve adherence rates and facilitate telerehabilitation.

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Section: Discussionmentioning

confidence: 99%

Virtual Reality Rehabilitation Systems for Cancer Survivors: A Narrative Review of the Literature

Melillo

Chirico

Pietro

et al. 2022

Cancers

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“…Li (2015) 73 Inkjet-printing and biosensor Khan (2015) 51 Printing technology for flexible sensors Gao (2017) 74 Inkjet printing and wearable devices Gao (2019( 75R2R gravure printing and wearable devices Khan (2019) 2 Wearable Sensors Sreenilayam (2019) 76 Sensing materials, storage devices, printing technology, and wearable devices. Zhang (2019) 77 3D printing and wearable devices Shrivastava (2022) 78 Integrated mobile and wearable point-of-care testing Maddipatla (2020) 79 Printed flexible sensor Yan (2020) 80 Inkjet printing, flexible and wearable devices Iqbal (2021) 81 Healthcare wearable devices Demolder (2021) 82 Wearable devices Fig. 2 Examples of continuous, noninvasive monitoring of glucose levels through various body fluids.…”

Section: Ref Focusmentioning

confidence: 99%

“…From Table 1 we observe that some review papers are focused on wearable devices with minimal attention to printing techniques such as ref. 78, 81 and 82. Few review papers, 2,75–77,79,80 discussed printing techniques and wearable devices with a major focus on ink formulation, flexible/stretchable substrates, and printing strategies.…”

Section: Related Workmentioning

confidence: 99%

A review of inkjet printing technology for personalized-healthcare wearable devices

Wankhede

Prasad

et al. 2022

J. Mater. Chem. C

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“…This includes the development of commercial solutions [13]. Due to the use of hands for manipulation, communication, and more, there is a strong focus on developing smart gloves to detect hand poses and interactions [14]. Many previous approaches focus on applying soft or compliant sensors to a glove to allow the deformation of each degree of freedom of the hand to be measured.…”

Section: Related Workmentioning

confidence: 99%

A Wearable Smart Glove and Its Application of Pose and Gesture Detection to Sign Language Classification

DelPreto

Hughes

D'Aria

et al. 2022

IEEE Robot. Autom. Lett.

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Advances in soft sensors coupled with machine learning are enabling increasingly capable wearable systems. Since hand motion in particular can convey useful information for developing intuitive interfaces, glove-based systems can have a significant impact on many application areas. A key remaining challenge for wearables is to capture, process, and analyze data from the high-degree-of-freedom hand in real time.We propose using a commercially available conductive knit to create an unobtrusive network of resistive sensors that spans all hand joints, coupling this with an accelerometer, and deploying machine learning on a low-profile microcontroller to process and classify data. This yields a self-contained wearable device with rich sensing capabilities for hand pose and orientation, low fabrication time, and embedded activity prediction.To demonstrate its capabilities, we use it to detect static poses and dynamic gestures from American Sign Language (ASL). By pre-training a long short-term memory (LSTM) neural network and using tools to deploy it in an embedded context, the glove and an ST microcontroller can classify 12 ASL letters and 12 ASL words in real time. Using a leave-one-experiment-out cross validation methodology, networks successfully classify 96.3% of segmented examples and generate correct rolling predictions during 92.8% of real-time streaming trials.

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Recent advances in wearable biosensing gloves and sensory feedback biosystems for enhancing rehabilitation, prostheses, healthcare, and virtual reality

Cited by 74 publications

References 92 publications

Virtual Reality Rehabilitation Systems for Cancer Survivors: A Narrative Review of the Literature

Virtual Reality Rehabilitation Systems for Cancer Survivors: A Narrative Review of the Literature

A review of inkjet printing technology for personalized-healthcare wearable devices

A Wearable Smart Glove and Its Application of Pose and Gesture Detection to Sign Language Classification

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