Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease

Kostikis, Nikolaos; Rigas, George; Konitsiotis, Spyridon; Fotiadis, Dimitrios I.

doi:10.3390/s21237801

Cited by 8 publications

(5 citation statements)

References 26 publications

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“…They, also, provide rich information, as they allow for the accurate acquisition of 3D movement data, including the orientation of the tracked individual [35,36]. Moreover, while insoles are limited to being embedded in footwear, IMU sensors are not, and can be used in various configurations and numbers on an individual's body [22,37], from smart devices and clothing items to fitness trackers [38] and medical devices [24]. Additionally, due to their non-obstructive characteristics, and long battery life, IMUs are suitable for long-term recording sessions.…”

Section: Discussionmentioning

confidence: 99%

“…Two of the monitoring devices are placed on the wrists, two on the ankles, and one on the waist (Figure 2). The rest of the system components are described in detail in [24]. The intended use of the PDMonitor ® system is to monitor the symptoms of patients with Parkinson's disease but for the purposes of the conducted tests, the PDMonitor ® system was not used as intended but only for logging motion data and extracting gait features.…”

Section: Imu Data and Processingmentioning

confidence: 99%

“…Machine learning techniques have been implemented for the classification of tasks such as differentiating between healthy subjects and patients, as well as for motor status discrimination [5,22,23]. All in all, IMU sensors, alongside insole solutions, have enabled the development of medical devices [16,24], that are not only accurate and affordable, but also easily and comfortably wearable.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data

Tsakanikas

Ntanis

Rigas

et al. 2023

Sensors

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Parkinson’s disease (PD) is characterized by a variety of motor and non-motor symptoms, some of them pertaining to gait and balance. The use of sensors for the monitoring of patients’ mobility and the extraction of gait parameters, has emerged as an objective method for assessing the efficacy of their treatment and the progression of the disease. To that end, two popular solutions are pressure insoles and body-worn IMU-based devices, which have been used for precise, continuous, remote, and passive gait assessment. In this work, insole and IMU-based solutions were evaluated for assessing gait impairment, and were subsequently compared, producing evidence to support the use of instrumentation in everyday clinical practice. The evaluation was conducted using two datasets, generated during a clinical study, in which patients with PD wore, simultaneously, a pair of instrumented insoles and a set of wearable IMU-based devices. The data from the study were used to extract and compare gait features, independently, from the two aforementioned systems. Subsequently, subsets comprised of the extracted features, were used by machine learning algorithms for gait impairment assessment. The results indicated that insole gait kinematic features were highly correlated with those extracted from IMU-based devices. Moreover, both had the capacity to train accurate machine learning models for the detection of PD gait impairment.

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Section: Discussionmentioning

confidence: 99%

Section: Imu Data and Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data

Tsakanikas

Ntanis

Rigas

et al. 2023

Sensors

Self Cite

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“…Although there are 5 monitoring devices to be attached to a patient's body, PDMonitor ® is easy to use, due to its ability to automatically identify the placement of each sensing device on the waist and limbs ( 52 ). As a result, the users (patients and/or caregivers), do not need to match each sensor, individually, to a corresponding body position, thus, reducing both the time necessary for mounting the sensors and the probability of user error.…”

Section: Methodsmentioning

confidence: 99%

Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitor®

et al. 2023

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Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms. As disease progresses, fluctuations in the response to levodopa treatment may develop, along with emergence of freezing of gait (FoG) and levodopa induced dyskinesia (LiD). The optimal management of the motor symptoms and their complications, depends, principally, on the consistent detection of their course, leading to improved treatment decisions. During the last few years, wearable devices have started to be used in the clinical practice for monitoring patients' PD-related motor symptoms, during their daily activities. This work describes the results of 2 multi-site clinical studies (PDNST001 and PDNST002) designed to validate the performance and the wearability of a new wearable monitoring device, the PDMonitor®, in the detection of PD-related motor symptoms. For the studies, 65 patients with Parkinson's disease and 28 healthy individuals (controls) were recruited. Specifically, during the Phase I of the first study, participants used the monitoring device for 2–6 h in a clinic while neurologists assessed the exhibited parkinsonian symptoms every half hour using the Unified Parkinson's Disease Rating Scale (UPDRS) Part III, as well as the Abnormal Involuntary Movement Scale (AIMS) for dyskinesia severity assessment. The goal of Phase I was data gathering. On the other hand, during the Phase II of the first study, as well as during the second study (PDNST002), day-to-day variability was evaluated, with patients in the former and with control subjects in the latter. In both cases, the device was used for a number of days, with the subjects being unsupervised and free to perform any kind of daily activities. The monitoring device produced estimations of the severity of the majority of PD-related motor symptoms and their fluctuations. Statistical analysis demonstrated that the accuracy in the detection of symptoms and the correlation between their severity and the expert evaluations were high. As a result, the studies confirmed the effectiveness of the system as a continuous telemonitoring solution, easy to be used to facilitate decision-making for the treatment of patients with Parkinson's disease.

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“…Besides, the need for objective symptoms' detection that could effectively direct treatment decisions cannot always be satisfied by clinical evaluation, since this is subjective to physicians' experience and expertise, and even commonly used rating scales may be susceptible to wide inter-and intra-ratter variability [8]. Enhancement of monitoring systems has made it possible for wearable devices to accurately capture the motor symptoms of Parkinsonism, supporting objective patients' evaluation [9][10][11]. A further step for wearable technology toward "precision medicine" in Parkinson's disease is continuous monitoring with data collection at home environment, providing a detailed analysis of the patient's clinical state throughout the day, while performing their usual everyday activities as well as a quantitative assessment of the patient's journey during long periods of months and years.…”

Section: Introductionmentioning

confidence: 99%

A Paradigm Shift in the Management of Patients with Parkinson’s Disease

Tsamis,

Odin,

Antonini

et al. 2023

Neurodegener Dis

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Background: Technological evolution leads to the constant enhancement of monitoring systems and recording symptoms of diverse disorders. Summary: For Parkinson’s disease, wearable devices empowered with machine learning analysis are the main modules for objective measurements. Software and hardware improvements have led to the development of reliable systems that can detect symptoms accurately and be implicated in the follow-up and treatment decisions. Key Messages: Among many different devices developed so far, the most promising ones are those that can record symptoms from all extremities and the trunk, in the home environment during the activities of daily living, assess gait impairment accurately, and be suitable for a long-term follow-up of the patients. Such wearable systems pave the way for a paradigm shift in the management of patients with Parkinson’s disease.

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Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease

Cited by 8 publications

References 26 publications

Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data

Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data

Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitor®

A Paradigm Shift in the Management of Patients with Parkinson’s Disease

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