Wearable Near-Field Communication Sensors for Healthcare: Materials, Fabrication and Application

Sun, Xidi; Zhao, Chengyan; Li, Hao; Yu, Huiwen; Zhang, Jing; Qiu, Hao; Liang, Jun-Ge; Wu, Jing; Su, Mengrui; Shi, Yi; Pan, Lijia

doi:10.3390/mi13050784

Cited by 15 publications

(7 citation statements)

References 126 publications

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“…Rapid qualitative analysis (RQA) was conducted to assess the interview responses effectively and efficiently to identify major themes [58]. Codes and themes for the RQA were deductively developed based on the TAM framework and the study objective.…”

Section: Analysis For User Acceptabilitymentioning

confidence: 99%

Preliminary Validity and Acceptability of Motion Tape for Measuring Low Back Movement: Mixed Methods Study

Lee,

Wyckoff,

Farcas

et al. 2024

JMIR Rehabil Assist Technol

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Background: Low back pain (LBP) is a significant public health problem that can result in physical disability and financial burden for the individual and society. Physical therapy (PT) is effective for managing LBP, and includes evaluation of posture and movement, interventions directed at modifying posture and movement, and prescription of exercises. However, physical therapists have limited tools for objective evaluation of low back posture and movement and monitoring of exercises, and this evaluation is limited to the timeframe of a clinical encounter. There is a need for a valid tool that can be used to evaluate low back posture and movement and monitor exercises outside the clinic. To address this need, a fabric-based, wearable sensor, Motion Tape (MT) was developed and adapted for a low back use case. MT is a low-profile, disposable, self-adhesive, skinstrain sensor developed by spray-coating piezoresistive graphene nanocomposites directly onto commercial kinesiology tape. Objective:The objectives of this study were to a) validate MT for measuring low back posture and movement; and b) assess the acceptability of MT for users.Methods: Ten participants without low back pain were tested. A 3D optical motion capture system was used as a reference standard to measure low back kinematics. Retroreflective markers and a matrix of MTs were placed on the low back to measure kinematics (motion capture) and strain (MT) simultaneously during low back movements in the sagittal, frontal, and axial planes. Cross-correlation coefficients were calculated to evaluate concurrent validity of MT strain in reference motion capture kinematics during each movement. Acceptability of MT was assessed using semi-structured interviews conducted with each participant after laboratory testing. Interview data were analyzed using Rapid Qualitative Analysis to identify themes and subthemes of user acceptability.Results: Visual inspection of concurrent MT strain and kinematics of the low back indicates that MT can distinguish between different movement directions. Cross-correlation coefficients between MT strain and motion capture kinematics ranged from -0.915 to 0.983, and strength of correlations varied across MT placements and low back movement directions. For user acceptability, participants expressed enthusiasm for MT and believed it would be helpful for remote interventions for LBP but provided suggestions for improvement.Conclusions: MT was able to distinguish different low back movements and most MTs demonstrated moderate to high

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Section: Analysis For User Acceptabilitymentioning

confidence: 99%

Preliminary Validity and Acceptability of Motion Tape for Measuring Low Back Movement: Mixed Methods Study

Lee,

Wyckoff,

Farcas

et al. 2024

JMIR Rehabil Assist Technol

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“…A study by Teller and Stivoric [ 21 ], carried out in 2004, has shown how technology may be placed into clothing or accessories such as bracelets and watches to assess, record, and relay various vital indicators. A study on situation awareness by AAL technology relies on machine-to-machine (M2M) technology [ 22 , 23 ]. It provides the adaptability needed by intelligent homes to help elderly citizens.…”

Section: Literature Reviewmentioning

confidence: 99%

AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients

et al. 2022

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Due to an aging population, assisted-care options are required so that senior citizens may maintain their independence at home for a longer time and rely less on caretakers. Ambient Assisted Living (AAL) encourages the creation of solutions that can help to optimize the environment for senior citizens with assistance while greatly reducing their challenges. A framework based on the Internet of Medical Things (IoMT) is used in the current study for the implementation of AAL technology to help patients with Type-2 diabetes. A glucose oxide sensor is used to monitor diabetic elderly people continuously. Spectrogram images are created from the recorded data from the sensor to assess and detect aberrant glucose levels. DenseNet-169 examines and analyzes the spectrogram pictures, and messages are sent to caregivers when aberrant glucose levels are detected. The current work describes both the spectrogram image analysis and the signal-to-spectrogram generating method. The study presents a future perspective model for a mobile application for real-time patient monitoring. Benchmark metrics evaluate the application’s performances, including sensitivity, specificity, accuracy, and F1-score. Several cross--validations are used to evaluate the model’s performance. The findings demonstrate that the proposed model can correctly identify patients with abnormal blood glucose levels.

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“…Thoughtful material selection and the exploration of diverse structures contribute to the sensor's heightened reliability, selectivity, and rapid response and recovery performance to external stimuli [31][32][33][34][35]. Utilizing various materials in the fabrication of RFID sensor components allows for the effective integration of RFID wireless communication technology and sensing capabilities [36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Applications of Nanomaterials in RFID Wireless Sensor Components

Roh,

Nguyen,

Lee

2024

Applied Sciences

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Radio Frequency Identification (RFID) technology, capable of wirelessly processing large amounts of information, is gaining attention with the advancement of IoT technology. RFID systems can be utilized as Wireless Sensor Network (WSN) technology by introducing sensing materials responsive to external environmental stimuli. To achieve effective information communication and sensing capabilities, various types of nanomaterials are being used as various components of RFID sensors. This paper provides an overview of the RFID sensor system and the nanomaterials used in their composition. Polymers that can achieve flexibility are attracting more attention as user-friendly substrates as demand for them increases in the wearable market. Additionally, advancements in inkjet printing technology, allowing cost-effective and simple production of components, introduce inks and manufacturing methods utilizing various nanomaterials such as metal nanoparticles, carbon materials, and composites. Furthermore, nanomaterials utilized as sensing materials enable the detection of various external environments with high sensitivity and a wide detection range. Consequently, RFID sensor systems that achieve wireless detection in a variety of environments are actively utilized in many applications. By analyzing the current research progress and problems faced in RFID sensor technology, this paper suggests future research directions for its development as a next-generation wireless sensor system.

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Wearable Near-Field Communication Sensors for Healthcare: Materials, Fabrication and Application

Cited by 15 publications

References 126 publications

Preliminary Validity and Acceptability of Motion Tape for Measuring Low Back Movement: Mixed Methods Study

Preliminary Validity and Acceptability of Motion Tape for Measuring Low Back Movement: Mixed Methods Study

AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients

Applications of Nanomaterials in RFID Wireless Sensor Components

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