Can multiple wearable sensors be used to detect the early onset of Parkinson's Disease?

Abbas, Saad A.; Condell, Joan; Gardiner, Philip; McCann, Michael; Todd, Stephen; Connolly, James

doi:10.1109/issc49989.2020.9180191

Cited by 3 publications

(10 citation statements)

References 4 publications

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“…The most popular sensor used in a data glove is a flex sensor (resistant transducers). This type of sensor measures the degree to which the sensor curve deviates from a straight line, and is commonly used by researchers and engineers [ 9 , 41 , 52 ]. Resistant transducers are lightweight, low cost, and vary in size to suit applications [ 59 ].…”

Section: Sensors Characteristics and Signal Processing And Outputmentioning

confidence: 99%

“…The modern mobile device is essentially another option favored for sensory system outputs. The ActionSense glove [ 60 ] uses a user friendly app with a graphical interface used to receive, display and save data for the user [ 9 ]. With technological advances, the graphical user interface provides non-specialist users with animations and visual information capable of facilitating the proper use of the whole system [ 44 ].…”

Section: Sensors Characteristics and Signal Processing And Outputmentioning

confidence: 99%

“…More recent developments have led to the creation of a smart glove that examines the flexibility and limitation of an RA patient’s hand joints by measuring angular and velocity data [ 9 ]. The ActionSense team [ 60 ] have created the smart glove that contains multiple flex bend sensors that are placed in a textile substrate seen in Figure 27 .…”

Section: Commercial and Non-commercial Glove-based Systemmentioning

confidence: 99%

“…Early presentation of RA can be recognized as the appearance of an asymmetrical form of arthritis [ 9 ]. Symmetry is the key determent for the diagnosis of the autoimmune condition [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…Several researchers have conducted investigations into contact systems [ 22 , 25 , 41 , 42 , 43 , 44 , 45 , 46 , 47 ]. However, current research seems to indicate that contact systems are more sought-after for monitoring hand functionality [ 1 , 5 , 9 , 29 , 48 , 49 ]. Several types of sensors have been used to measure the quantitative measurements of interest, with complex architectural and circuit designs.…”

Section: Introductionmentioning

confidence: 99%

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Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis

Henderson¹,

Condell²,

Connolly

et al. 2021

Sensors

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Early detection of Rheumatoid Arthritis (RA) and other neurological conditions is vital for effective treatment. Existing methods of detecting RA rely on observation, questionnaires, and physical measurement, each with their own weaknesses. Pharmaceutical medications and procedures aim to reduce the debilitating effect, preventing the progression of the illness and bringing the condition into remission. There is still a great deal of ambiguity around patient diagnosis, as the difficulty of measurement has reduced the importance that joint stiffness plays as an RA identifier. The research areas of medical rehabilitation and clinical assessment indicate high impact applications for wearable sensing devices. As a result, the overall aim of this research is to review current sensor technologies that could be used to measure an individual’s RA severity. Other research teams within RA have previously developed objective measuring devices to assess the physical symptoms of hand steadiness through to joint stiffness. Unfamiliar physical effects of these sensory devices restricted their introduction into clinical practice. This paper provides an updated review among the sensor and glove types proposed in the literature to assist with the diagnosis and rehabilitation activities of RA. Consequently, the main goal of this paper is to review contact systems and to outline their potentialities and limitations. Considerable attention has been paid to gloved based devices as they have been extensively researched for medical practice in recent years. Such technologies are reviewed to determine whether they are suitable measuring tools.

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Section: Sensors Characteristics and Signal Processing And Outputmentioning

confidence: 99%

Section: Sensors Characteristics and Signal Processing And Outputmentioning

confidence: 99%

Section: Commercial and Non-commercial Glove-based Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis

Henderson¹,

Condell²,

Connolly

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

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Parkinson’s Disease Management via Wearable Sensors: A Systematic Review

et al. 2022

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Wearable technology has played an essential role in the Mobile Health (mHealth) sector for diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such neuro-degenerative disorder is Parkinson's Disease (PD). It is categorized by motor symptoms that affect a patient's motor skills and non-motor symptoms that affect the general health of a PD patient. The quality of life of a patient with PD is highly compromised. To date, there is no cure for the disease, but early intervention and assistive care can help a PD patient to perform daily activities with considerable ease. Many research works in PD management discuss the challenges that healthcare professionals face in the early detection and management of this disease. Sensor devices have been promising to overcome these challenges to a certain degree because of the low cost and accuracy in measurement, yielding precise conclusive results to detect, monitor, and manage PD. This paper presents a Systematic Literature Review (SLR) that provides an in-depth analysis of the PD symptoms, Motor and Non-Motor Symptoms (NMS), the current diagnosis and management techniques used and their efficacy. The paper also highlights the work of various researchers in wearable sensors and their proposals to improve the quality of life of a PD patient by diagnosing, monitoring, and managing PD symptoms remotely via wearable sensors. Another area of focus is commercially available wearables for PD management and a few promising works in progress. This paper will be beneficial for future researchers to identify existing gaps and provide the clinicians better insight into the disease progression, and avoid complications. This paper analyzes around 50+ articles from 2016 to 2021 and concludes that there is still much room for improvement in wearables for PD management during the research process. While much work has been attributed to PD Motor Symptom management, there is little focus on the management of PD NMS via wearable sensors. Furthermore, this paper also presents future work for PD management.

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Dynamic Measurement Assessments of Sensory Gloves Based on Resistive Flex Sensors and Inertial Measurement Units

Saggio

Calado

Errico

et al. 2023

IEEE Trans. Instrum. Meas.

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Can multiple wearable sensors be used to detect the early onset of Parkinson's Disease?

Cited by 3 publications

References 4 publications

Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis

Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis

Parkinson’s Disease Management via Wearable Sensors: A Systematic Review

Dynamic Measurement Assessments of Sensory Gloves Based on Resistive Flex Sensors and Inertial Measurement Units

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