Wireless system for detection of FOG in patients with Parkinson's Disease

Punin, C.; Barzallo, Boris; Huerta, Mónica; Bermeo, J. P.; Llumiguano, C.; Soto, A.; Clotet, R.

doi:10.1109/gmepe-pahce.2017.7972112

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…In [50], it is established that the frequency of FOG occurs in the bandwidth of 3 to 8 Hz. This range was placed within the detail coefficients of the first level (DC1), excluding from the analysis the coefficients in the frequency range of 3 to 4 Hz because they do not provide relevant information in FOG detection, but it is necessary to consider all the coefficients for the calculation of the total energy and energy levels of the subbands, as included in the Equations (6)–(8).…”

Section: Resultsmentioning

confidence: 99%

A Non-Invasive Medical Device for Parkinson’s Patients with Episodes of Freezing of Gait

Punin

Barzallo

Clotet

et al. 2019

Sensors

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A critical symptom of Parkinson’s disease (PD) is the occurrence of Freezing of Gait (FOG), an episodic disorder that causes frequent falls and consequential injuries in PD patients. There are various auditory, visual, tactile, and other types of stimulation interventions that can be used to induce PD patients to escape FOG episodes. In this article, we describe a low cost wearable system for non-invasive gait monitoring and external delivery of superficial vibratory stimulation to the lower extremities triggered by FOG episodes. The intended purpose is to reduce the duration of the FOG episode, thus allowing prompt resumption of gait to prevent major injuries. The system, based on an Android mobile application, uses a tri-axial accelerometer device for gait data acquisition. Gathered data is processed via a discrete wavelet transform-based algorithm that precisely detects FOG episodes in real time. Detection activates external vibratory stimulation of the legs to reduce FOG time. The integration of detection and stimulation in one low cost device is the chief novel contribution of this work. We present analyses of sensitivity, specificity and effectiveness of the proposed system to validate its usefulness.

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Section: Resultsmentioning

confidence: 99%

A Non-Invasive Medical Device for Parkinson’s Patients with Episodes of Freezing of Gait

Punin

Barzallo

Clotet

et al. 2019

Sensors

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“…Different methodologies have been used for the construction of devices, such as those focused on acquiring EEG signals [ 24 , 68 , 69 , 70 ]. Moreover, using accelerometers located at different parts of the lower extremities, including the calf, hip, legs, and ankle [ 68 , 71 , 72 , 73 , 74 , 75 ], these devices can stimulate the muscle or nerve externally and help patients out of the episode of freezing. All of these devices are aimed at improving the patients’ lifestyles.…”

Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning

confidence: 99%

“…Vibratory stimulation can reduce the time required for resumption of gait and improve the postural relationship of oscillation after only one week of treatment [ 85 ]. This form of stimulation is widely accepted by patients because it is comfortable, and women respond faster to a vibratory stimulus when it is placed near the posterior tibial nerve, with a sensitivity of 89% and effectiveness of 96% [ 74 ]. On the other hand, electrical stimulation reduced walking time by 19% and FoG episodes by up to 58% [ 90 , 91 ].…”

Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning

confidence: 99%

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Review of Active Extracorporeal Medical Devices to Counteract Freezing of Gait in Patients with Parkinson Disease

et al. 2022

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Parkinson Disease (PD) primarily affects older adults. It is the second-most common neurodegenerative disease after Alzheimer’s disease. Currently, more than 10 million people suffer from PD, and this number is expected to grow, considering the increasing global longevity. Freezing of Gait (FoG) is a symptom present in approximately 80% of advanced-stage PD’s patients. FoG episodes alter the continuity of gait, and may be the cause of falls that can lead to injuries and even death. The recent advances in the development of hardware and software systems for the monitoring, stimulus, or rehabilitation of patients with FoG has been of great interest to researchers because detection and minimization of the duration of FoG events is an important factor in improving the quality of life. This article presents a review of the research on non-invasive medical devices for FoG, focusing on the acquisition, processing, and stimulation approaches used.

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“…Under this scenario, monitoring systems able to detect early symptoms can be useful for the disease progress [2]; different approaches are described in [3]- [4][5] [6]. A wearable measurement system can be used to monitor tremor [7], [8], posture [9], [10], and the so-called "freezing of gait" in Parkinson subjects [11]. Electronic devices equipped with three-axis accelerometers can be employed measuring these kinds of alterations [10].…”

Section: Introductionmentioning

confidence: 99%

A Movement-Tremors Recorder for Patients of Neurodegenerative Diseases

Gugliandolo

Campobello

Capra

et al. 2019

IEEE Trans. Instrum. Meas.

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Neurodegenerative diseases such as Alzheimer, Parkinson, motor neuron, and Chorea affect millions of people today. Their effect on the central nervous system causes the loss of brain functions as well as motor disturbances and sometimes cognitive deficits. In such a scenario, the monitoring and evaluation of early symptoms are mandatory for the improvement of the patient's quality of life. Here, the authors describe the development, the laboratory calibration, and the "in-field validation" under the medical supervision of a movement tremors recorder for subjects affected by neurodegenerative diseases. The developed device is based on an array of four accelerometers connected to an embedded development board. This system is able to monitor tremor/movement, accidental falls, and, moreover, it can track the Alzheimer subjects' geographical position. A remote supervisor can collect data from the system through Bluetooth, Wi-Fi, or GSM connections. A data compression algorithm was developed directly on board in order to increase the efficiency of data transmission and reduce power consumptions.

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Wireless system for detection of FOG in patients with Parkinson's Disease

Cited by 7 publications

References 3 publications

A Non-Invasive Medical Device for Parkinson’s Patients with Episodes of Freezing of Gait

A Non-Invasive Medical Device for Parkinson’s Patients with Episodes of Freezing of Gait

Review of Active Extracorporeal Medical Devices to Counteract Freezing of Gait in Patients with Parkinson Disease

A Movement-Tremors Recorder for Patients of Neurodegenerative Diseases

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