Quantification of Hand Motor Symptoms in Parkinson’s Disease: A Proof-of-Principle Study Using Inertial and Force Sensors

Noort, Josien C. van den; Verhagen, Rens; Dijk, Kees J. van; Veltink, Petrus H.; Vos, Michelle C. P. M.; Bie, Rob M.A. de; Bour, L.J.; Heida, Tjitske

doi:10.1007/s10439-017-1881-x

Cited by 38 publications

(54 citation statements)

References 37 publications

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“…One of the sensors was also able to detect which people with PD had rigidity or not, which correlated with traditional measures [32]. In addition, two concluded that their respective systems were able to differentiate the "on" and "off" states [31,32].…”

Section: Methods Using Sensors For the Capture And Analysis Of Movementmentioning

confidence: 88%

“…Nine studies were included, which are summarized in Table 3. Of these, 5 examined the wrist [31][32][33][34][35], 2 examined the elbow [36,37], 1 examined the trunk [38], and 1 examined the entire body [39]. The evaluation protocol varied significantly between studies as the design and objectives were different.…”

Section: Methods Using Sensors For the Capture And Analysis Of Movementmentioning

confidence: 99%

“…Three studies used sensors to detect the rigidity of the muscles around the wrist in a clinical setting [31][32][33]. When comparing the data collected in people with PD and healthy controls, two of them concluded that the sensors are useful for detecting rigidity and that there is a correlation between their data and that provided by clinical measures [32,33].…”

Section: Methods Using Sensors For the Capture And Analysis Of Movementmentioning

confidence: 99%

“…Van den Noort, 2017 [31] Technology reliability 4 people with PD Sensor complex (PowerGlove system) with gyroscopes, accelerometers, and magnetometers.…”

Section: Study Study Design Sample Assessment Methods Joint Explored Ementioning

confidence: 99%

“…Some authors have studied the reliability of their instruments by examining whether they are able to detect the "off" vs. "on" change produced by the administration of levodopa and other antiparkinsonian drugs [30,31,42,43,46,50]. Theoretically, the rigidity responds well to medication [5,64], but frequently the outcome measures used (clinical scales such as UPDRS and others) in clinical trials seem to suffer from an obvious subjectivity, poor sensitivity to change, and variable inter-or intra-examiner reliability [5].…”

Section: Dopaminergic Medication and Rigiditymentioning

confidence: 99%

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Quantitative Measurement of Rigidity in Parkinson’s Disease: A Systematic Review

Ferreira-Sánchez

Moreno-Verdú

Cano‐de‐la‐Cuerda

2020

Sensors

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Rigidity is one of the cardinal symptoms of Parkinson’s disease (PD). Present in up 89% of cases, it is typically assessed with clinical scales. However, these instruments show limitations due to their subjectivity and poor intra- and inter-rater reliability. To compile all of the objective quantitative methods used to assess rigidity in PD and to study their validity and reliability, a systematic review was conducted using the Web of Science, PubMed, and Scopus databases. Studies from January 1975 to June 2019 were included, all of which were written in English. The Strengthening the Reporting of observational studies in Epidemiology Statement (STROBE) checklist for observational studies was used to assess the methodological rigor of the included studies. Thirty-six studies were included. Rigidity was quantitatively assessed in three ways, using servomotors, inertial sensors, and biomechanical and neurophysiological study of muscles. All methods showed good validity and reliability, good correlation with clinical scales, and were useful for detecting rigidity and studying its evolution. People with PD exhibit higher values in terms of objective muscle stiffness than healthy controls. Rigidity depends on the angular velocity and articular amplitude of the mobilization applied. There are objective, valid, and reliable methods that can be used to quantitatively assess rigidity in people with PD.

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Section: Methods Using Sensors For the Capture And Analysis Of Movementmentioning

confidence: 88%

Section: Methods Using Sensors For the Capture And Analysis Of Movementmentioning

confidence: 99%

Section: Methods Using Sensors For the Capture And Analysis Of Movementmentioning

confidence: 99%

“…Van den Noort, 2017 [31] Technology reliability 4 people with PD Sensor complex (PowerGlove system) with gyroscopes, accelerometers, and magnetometers.…”

Section: Study Study Design Sample Assessment Methods Joint Explored Ementioning

confidence: 99%

Section: Dopaminergic Medication and Rigiditymentioning

confidence: 99%

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Quantitative Measurement of Rigidity in Parkinson’s Disease: A Systematic Review

Ferreira-Sánchez

Moreno-Verdú

Cano‐de‐la‐Cuerda

2020

Sensors

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Stretchable triboelectric sensor for measurement of the forearm muscles movements and fingers motion for Parkinson's disease assessment and assisting technologies

Anaya

Yuce

2020

Med Devices & Sens

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Parkinson's disease (PD) is a degenerative, neurological disease that causes motor dysfunctions on the patient. Currently, the symptoms and progression of the disease are assessed by physicians who diagnose through careful observation, according to the Movement Disorder Society (MDS)-sponsored Revision of the Unified Parkinson's Disease Rating Scale (UPDRS). In this manuscript, we report a portable sensor device based on a flexible Triboelectric Nanogenerator (TENG) formed from a dielectric material with a size of 4 cm × 3.5 cm and an aluminium (Al) electrode with dimensions of 2 mm × 3 mm, to monitor the movement of forearm muscles and tendons. When the hand or fingers extend or flex, the short gap between the dielectric polymer and the small conductor changes, generating a voltage due to triboelectric contact. The device is used to assess localized bradykinesia and rigidity of fingers and hands, as well as wrist and arm tremors. The voltage signal of the proposed sensor shows different waveform shapes, time duration and amplitude for each level of classification from 'normal' to 'moderate' status, described on the MDS-UPDRS examination of hand movement, finger tapping and pronation-supination movement. Hence, we demonstrated that the proposed sensor can potentially be used for quantification of the symptoms and diagnosing. In addition, single finger motion tracking is also achieved by placing the triboelectric sensor in different positions around the forearm, close to the tendon connected to the finger under test. This way we avoid the placement of the sensor directly on the fingers, improving comfortability and long-term wearability. The presented TENG sensor is fully integrated with the processing and the transmission board exploring new opportunities for triboelectric transducers in small motion detection of muscles. The future aim of this research is to provide real-time monitoring of the disease progression as feedback for personalized treatment of the PD patients.

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Wearable and Wireless Systems with Internet Connectivity for Quantification of Parkinson’s Disease and Essential Tremor Characteristics

LeMoyne

Mastroianni²,

Whiting

et al. 2019

Smart Sensors, Measurement and Instrumentation

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Quantification of Hand Motor Symptoms in Parkinson’s Disease: A Proof-of-Principle Study Using Inertial and Force Sensors

Cited by 38 publications

References 37 publications

Quantitative Measurement of Rigidity in Parkinson’s Disease: A Systematic Review

Quantitative Measurement of Rigidity in Parkinson’s Disease: A Systematic Review

Stretchable triboelectric sensor for measurement of the forearm muscles movements and fingers motion for Parkinson's disease assessment and assisting technologies

Wearable and Wireless Systems with Internet Connectivity for Quantification of Parkinson’s Disease and Essential Tremor Characteristics

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