Towards a Flexible Wrist-Worn Thermotherapy and Thermoregulation Device

Kassanos, Panagiotis; Seichepine, Florent; Keshavarz, Meysam; Yang, Guang‐Zhong

doi:10.1109/bibe.2019.00121

Cited by 4 publications

(3 citation statements)

References 35 publications

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“…One of the included studies has utilized a wrist wearable system for assessment purposes on patients with distal radius fractures [30]. Three other studies on arthritis and motor impairment patients have used wrist-mounted wearable sensors [31][32][33]. Five studies focused on hand and finger diseases such as hand arthritis [34,35] and carpal tunnel syndrome [36,37], applied wearable sensors (such as IMUs, and piezoresistive sensors) that were either embedded in a glove or attached with straps.…”

Section: Clinical Population Studiesmentioning

confidence: 99%

“…While only five studies have included EMG sensors in their wearable platform to obtain muscle activity [30,[38][39][40][41]. Some of the studies have also used other instruments and sensors to obtain measurements or treat an MSK condition, such as using high-power LEDs [42] and thermal flexible printed circuit boards for treatment [32] or using piezoresistive or strain sensors for measurements [35][36][37]43]. In the sensor type and hardware column of Table 1, the model and provider company of sensor, the attachment or embedding method of the sensor in wearable platform, core processing unit, and data sampling frequency of wearable sensors were indicated (in case of reporting by authors).…”

Section: Clinical Population Studiesmentioning

confidence: 99%

“…One of the critical aspects is finding the rate of studies aimed to use wearable sensor platforms for either rehabilitation or treatment applications or increasing the quality of remote treatment sessions. In this regard, 11 studies in the clinical population studies category (35% of studies in the category) [26,27,29,32,33,36,37,40,[42][43][44], three studies in the workers' population studies category (10% of studies in the category) [62,80,85], and two studies in the general wearable studies category (11% of studies in the category) have focused on treatment applications [87,98].…”

Section: General Wearable Design/performance Studiesmentioning

confidence: 99%

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

Zadeh,

MacDermid,

Johnson

et al. 2023

J NeuroEngineering Rehabil

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Purpose This scoping review uniquely aims to map the current state of the literature on the applications of wearable sensors in people with or at risk of developing upper extremity musculoskeletal (UE-MSK) conditions, considering that MSK conditions or disorders have the highest rate of prevalence among other types of conditions or disorders that contribute to the need for rehabilitation services. Materials and methods The preferred reporting items for systematic reviews and meta-analysis (PRISMA) extension for scoping reviews guideline was followed in this scoping review. Two independent authors conducted a systematic search of four databases, including PubMed, Embase, Scopus, and IEEEXplore. We included studies that have applied wearable sensors on people with or at risk of developing UE-MSK condition published after 2010. We extracted study designs, aims, number of participants, sensor placement locations, sensor types, and number, and outcome(s) of interest from the included studies. The overall findings of our scoping review are presented in tables and diagrams to map an overview of the existing applications. Results The final review encompassed 80 studies categorized into clinical population (31 studies), workers’ population (31 studies), and general wearable design/performance studies (18 studies). Most were observational, with 2 RCTs in workers’ studies. Clinical studies focused on UE-MSK conditions like rotator cuff tear and arthritis. Workers’ studies involved industrial workers, surgeons, farmers, and at-risk healthy individuals. Wearable sensors were utilized for objective motion assessment, home-based rehabilitation monitoring, daily activity recording, physical risk characterization, and ergonomic assessments. IMU sensors were prevalent in designs (84%), with a minority including sEMG sensors (16%). Assessment applications dominated (80%), while treatment-focused studies constituted 20%. Home-based applicability was noted in 21% of the studies. Conclusion Wearable sensor technologies have been increasingly applied to the health care field. These applications include clinical assessments, home-based treatments of MSK disorders, and monitoring of workers’ population in non-standardized areas such as work environments. Assessment-focused studies predominate over treatment studies. Additionally, wearable sensor designs predominantly use IMU sensors, with a subset of studies incorporating sEMG and other sensor types in wearable platforms to capture muscle activity and inertial data for the assessment or rehabilitation of MSK conditions.

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Section: Clinical Population Studiesmentioning

confidence: 99%

Section: Clinical Population Studiesmentioning

confidence: 99%

Section: General Wearable Design/performance Studiesmentioning

confidence: 99%

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

Zadeh,

MacDermid,

Johnson

et al. 2023

J NeuroEngineering Rehabil

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An Interdigital Strain Sensor Through Laser Carbonization of PI and PDMS Transfer

Kassanos

Yang

Yeatman

2021

2021 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)

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Bioimpedance Sensors: A Tutorial

Kassanos

2021

IEEE Sensors J.

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Electrical bioimpedance entails the measurement of the electrical properties of tissues as a function of frequency. It is thus a spectroscopic technique. It has been applied in a plethora of biomedical applications for diagnostic and monitoring purposes. In this tutorial, the basics of electrical bioimpedance sensor design will be discussed. The electrode/electrolyte interface is thoroughly described, as well as methods for its modelling with equivalent circuits and computational tools. The design optimization and modelling of bipolar and tetrapolar bioimpedance sensors is presented in detail, based on the sensitivity theorem. Analytical and numerical modelling approaches for electric field simulations based on conformal mapping, point electrode approximations and the finite element method (FEM) are also elaborated. Finally, current trends on bioimpedance sensors are discussed followed by an overview of instrumentation methods for bioimpedance measurements, covering aspects of voltage signal excitations, current sources, voltage measurement front-end topologies and methods for computing the electrical impedance.

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Towards a Flexible Wrist-Worn Thermotherapy and Thermoregulation Device

Cited by 4 publications

References 35 publications

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

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

An Interdigital Strain Sensor Through Laser Carbonization of PI and PDMS Transfer

Bioimpedance Sensors: A Tutorial

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