Wearable Wireless Inertial Sensors for Long-Time Monitoring of Specific Motor Symptoms in Parkinson's Disease

被引:4
|
作者
Lorenzi, P. [1 ]
Rao, R. [1 ]
Suppa, A. [2 ]
Kita, A. [1 ]
Parisi, R. [1 ]
Romano, G. [1 ]
Berardelli, A. [2 ]
Irrera, F. [1 ]
机构
[1] Univ Roma La Sapienza, Dept Informat Engn Elect & Commun, Via Eudossiana 18, Rome, Italy
[2] Univ Roma La Sapienza, Dept Neurol & Psychiat, Rome, Italy
关键词
Biosensors; Wearable Wireless Inertial Sensors; Electronic-Health; Long-Time Home Monitoring; Parkinson's Disease;
D O I
10.5220/0005279201680173
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
It is proposed an electronic system for the long-time monitoring of specific motor symptoms in patients affected by Parkinson's Disease while being at home and making their usual daily activity. The system is made of a network of non-invasive wireless inertial sensors fixed on the patient body. The muscles activity is contemporarily analysed through the integration of a circuit for the surface electromyography. Pos-tprocessing algorithms quantify movements in terms of amplitude and power spectrum. Data are electronically elaborated and wireless transmitted to a receiver in the patient home, to be accessed remotely by doctors. The challenge is the automatic distinction between specific parkinsonian symptoms including resting tremor and freezing of gait and patient's voluntary movements made in daily life. To the aim, the contemporarily analysis of muscle activity becomes necessary in specific situations, as in the case of freezing of gait, where accelerometers signals may be misleading. Goal of this research is the comprehension of all the possible environmental and individual factors which favor worsening of gait disorders during the patient daily life and the customization of the drug therapy, aiming to preventing catastrophic events such as falls. Results shown here refer to upper limb tremor and freezing of gait.
引用
收藏
页码:168 / 173
页数:6
相关论文
共 50 条
  • [41] Overview on wearable sensors for the management of Parkinson's disease
    Moreau, Caroline
    Rouaud, Tiphaine
    Grabli, David
    Benatru, Isabelle
    Remy, Philippe
    Marques, Ana-Raquel
    Drapier, Sophie
    Mariani, Louise-Laure
    Roze, Emmanuel
    Devos, David
    Dupont, Gwendoline
    Bereau, Matthieu
    Fabbri, Margherita
    NPJ PARKINSONS DISEASE, 2023, 9 (01)
  • [42] Smartphone-Based Wearable Gait Monitoring System Using Wireless Inertial Sensors
    Astudillo, Alejandro
    Avella-Rodriguez, Edna
    Arango-Hoyos, Gloria
    Ramirez-Scarpetta, Jose
    Rosero, Esteban
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2023, 19 (08) : 38 - 55
  • [43] A wearable inertial system to evaluate Tai Chi training motor effects in patients with Parkinson's disease
    Mancioppi, Gianmaria
    Cavallo, Filippo
    Benvenuti, Pietro
    Francalanci, Beatrice
    Fiorini, Laura
    Alfieri, Mario
    Curci, Claudio
    Benetti, Roberto
    Cagliari, Maribel
    Cesene, Marina
    Ferraro, Francesco
    Rovini, Erika
    2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [44] Using measurements from wearable sensors for automatic scoring of Parkinson's disease motor states
    Thomas, I.
    Bergquist, F.
    Constantinescu, R.
    Nyholm, D.
    Senek, M.
    Memedi, M.
    MOVEMENT DISORDERS, 2017, 32
  • [45] Assessment of Motor Symptoms in Parkinson's disease using Flexible Wearable Sensors and Deep Neural Networks: A CIS-PD substudy
    Lonini, L.
    Dai, A.
    Poon, C.
    Shawen, N.
    Shimanovich, L.
    Simuni, T.
    Daeschler, D.
    Rogers, J.
    Jayaraman, A.
    MOVEMENT DISORDERS, 2018, 33 : S514 - S514
  • [46] Quantitative home-based monitoring of Parkinson's disease motor symptoms
    Heldman, D. A.
    Mera, T. O.
    Espay, A. J.
    Payne, M.
    Giuffrida, J. P.
    MOVEMENT DISORDERS, 2011, 26 : S130 - S131
  • [47] Long-time average spectrum in individuals with Parkinson disease
    Smith, Lindsey K.
    Goberman, Alexander M.
    NEUROREHABILITATION, 2014, 35 (01) : 77 - 88
  • [48] Quantitative Home-Based Monitoring of Parkinson's Disease Motor Symptoms
    Heldman, Dustin A.
    Mera, Thomas
    Espay, Alberto
    Payne, Megan
    Giuffrida, Joseph
    NEUROLOGY, 2011, 76 (09) : A585 - A586
  • [49] Monitoring of motor and non-motor symptoms of Parkinson's disease through a mHealth platform
    Cancela, Jorge
    Villanueva Mascato, Samanta
    Gatsios, Dimitrios
    Rigas, George
    Marcante, Andrea
    Gentile, Giovanni
    Biundo, Roberta
    Giglio, Manuela
    Chondrogiorgi, Maria
    Vilzmann, Robert
    Konitsiotis, Spyros
    Antonini, Angelo
    Arredondo, Maria T.
    Fotiadis, Dimitrios I.
    2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2016, : 663 - 666
  • [50] Assessing the clinical utility of inertial sensors for home monitoring in Parkinson's disease: a comprehensive review
    Sapienza, Stefano
    Tsurkalenko, Olena
    Giraitis, Marijus
    Mejia, Alan Castro
    Zelimkhanov, Gelani
    Schwaninger, Isabel
    Klucken, Jochen
    NPJ PARKINSONS DISEASE, 2024, 10 (01)