Quantifying postural stability of patients with cerebellar disorder during quiet stance using three-axis accelerometer

Adamova, Barbora; Kutílek, Patrik; Čakrt, Ondřej; Svoboda, Zdeněk; Vítečková, Slávka; Smrčka, Pavel

doi:10.1016/j.bspc.2017.09.025

Cited by 15 publications

(11 citation statements)

References 43 publications

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“…Previous studies using wearable sensors have investigated balance impairment in Parkinson's disease [114,122,124,125,[156][157][158][159][160][161][162][163][164][165][166][167][168], multiple sclerosis [118,146,[169][170][171][172][173][174][175][176][177], stroke [52,[178][179][180][181][182][183][184], traumatic brain injuries [123,126,[185][186][187][188][189], cerebellar ataxia [130,[190][191][192][193][194]…”

Section: Wearable Technologies In Neurological Disordersmentioning

confidence: 99%

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

Zampogna

Mileti

Palermo

et al. 2020

Sensors

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Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological disorders further increase the risk of falls by deteriorating specific nervous system functions contributing to balance. Over the last 15 years, significant advancements in technology have provided wearable solutions for balance evaluation and the management of postural instability in patients with neurological disorders. This narrative review aims to address the topic of balance and wireless sensors in several neurological disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, stroke, and other neurodegenerative and acute clinical syndromes. The review discusses the physiological and pathophysiological bases of balance in neurological disorders as well as the traditional and innovative instruments currently available for balance assessment. The technical and clinical perspectives of wearable technologies, as well as current challenges in the field of teleneurology, are also examined.

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Section: Wearable Technologies In Neurological Disordersmentioning

confidence: 99%

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

Zampogna

Mileti

Palermo

et al. 2020

Sensors

View full text Add to dashboard Cite

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“…Currently, the systems used to capture mechanical and kinematic movements in the human body are used in several diagnostic processes [1][2][3]. They are based on various types of technology [4][5][6], offering a broad set of characteristics.…”

Section: Introductionmentioning

confidence: 99%

Proposal for Gait Analysis Using Fusion of Inertial-Magnetic and Optical Sensors

Callejas-Cuervo

Vélez-Guerrero

Alarcón-Aldana

2020

reveia

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A proposed measurement protocol for the lower limbs movement analysis during walking is presented, with the use of a measurement system based on inertial-magnetic motion processing units and an optical system. Initially, the state of the art in terms of methods and tools for the biomechanical capture of movements is shown, to finally explore the protocols used in the health sciences for the gait analysis. The measurement proposal made in this document uses robust features of inertial-magnetic and optical technology that can be used in medical diagnosis. The application of this proposal can generate tools that have a positive impact in the fields of health and medicine.

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“…When the medical approach plays a prominent role in the measuring of the human body parameters, cutting-edge technology such as wearable or embedded devices are essential to aid diagnostic and rehabilitation processes [6][7][8], although in some cases they have affordability and/or accessibility limitations. In general, systems that capture the mechanical movement of the human body are used in different diagnostic processes [9,10] and are based on various technologies [11][12][13]. Within this group, those systems built with magnetic and inertial sensors stand out due to their low-cost and high-performance technical features.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Wireless Data Transmission over Wi-Fi in a Biomechanical Information Processing System

2019

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This paper presents a characterization of the wireless transmission of biomechanical signals in an embedded system, where a TCP protocol is used in an IEEE 802.11 communications network (Wi-Fi). The embedded system under study, called Imocap, allows the collection, analysis and transmission of biomechanical signals in real-time for various applications, among which the analysis of the movement of the lower and upper extremities and the operation of various control systems stand out. To accomplish this, Imocap is equipped with a Wi-Fi transceiver module (ESP8266) and various input and output peripherals. The wireless communication performance of Imocap, exposed in this paper, was analyzed through different tests in miscellaneous conditions like indoors, outdoors and in the presence of interference, noise and other wireless networks. The different test protocols conducted result in the Imocap system: 1) has a maximum effective range of 45.6 m when in Access Point mode; 2) has a maximum effective range of 44.3 m when in Station mode. In indoors and under the same conditions, the Imocap system: 3) has a maximum effective range of 81.25 m2, either Access Point or Station mode. The results showed that the transmission of biomechanical information through Wi-Fi using the TCP protocol is efficient and robust, both indoors and outdoors, even in environments of radio frequency interference. The use of this protocol is emphasized since its use allows the transmission of packages to be carried out in a controlled manner, allowing the error handling and recovery. In this way, it is possible to carry out efficient and robust wireless communication through embedded and portable devices, focusing mainly on areas such as medicine, telemedicine and telerehabilitation.

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Quantifying postural stability of patients with cerebellar disorder during quiet stance using three-axis accelerometer

Cited by 15 publications

References 43 publications

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

Proposal for Gait Analysis Using Fusion of Inertial-Magnetic and Optical Sensors

Characterization of Wireless Data Transmission over Wi-Fi in a Biomechanical Information Processing System

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