A movement monitoring system for patients of neurodegenerative diseases

被引:0
作者
Gugliandolo, G. [1 ,2 ]
Sciva, A. [3 ]
Campobello, G. [3 ]
Capra, P. P. [2 ]
Marino, S. [4 ,5 ]
Bramanti, A. [4 ]
Di Lorenzo, G. [4 ]
Bramanti, P. [4 ]
Donato, N. [3 ]
机构
[1] Politecn Torino, Dept Elect & Telecommunicat, Turin, Italy
[2] Ist Nazl Ric Metrol, Str Cacce 91, I-10135 Turin, Italy
[3] Univ Messina, Dept Engn, I-98166 Messina, Italy
[4] IRCCS Ctr Neurolesi Bonino Pulejo, Contrada Casazza SS113, I-98124 Messina, Italy
[5] Univ Messina, Dept Sci Biomed Odontoiatriche Immagini Morfol &, Via Consolare Valeria 1 C-O,AOU Polyclin G Martin, I-198125 Messina, Italy
来源
2018 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC): DISCOVERING NEW HORIZONS IN INSTRUMENTATION AND MEASUREMENT | 2018年
关键词
wearable monitoring system; tremor evaluation; neurodegenerative diseases; embedded systems;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Parkinson, Alzheimer, Koreas and motor neuron disease affect today millions of people. These neurodegenerative diseases act on central nervous system causing the loss of brain functions as well as motor disturbances and sometimes cognitive deficits. In such scenario, monitor early symptoms is mandatory. Here the authors describe the development of a monitoring system for Parkinson subjects and other patients 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.
引用
收藏
页码:1159 / 1164
页数:6
相关论文
共 16 条
  • [1] An EMG-Based System for Continuous Monitoring of Clinical Efficacy of Parkinson's Disease Treatments
    Askari, Sina
    Zhang, Mo
    Won, Deborah S.
    [J]. 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 98 - 101
  • [2] Barth J, 2011, IEEE ENG MED BIO, P868, DOI 10.1109/IEMBS.2011.6090226
  • [3] Bermeo A, 2016, IEEE ENG MED BIO, P5007, DOI 10.1109/EMBC.2016.7591852
  • [4] Campobello G., 2010, P 4 INT S COMM CONTR, P1, DOI DOI 10.1109/ISCCSP.2010.5463459
  • [5] Quantifying the importance of high frequency components on the amplitude of physiological tremor
    Carignan, Benoit
    Daneault, Jean-Francois
    Duval, Christian
    [J]. EXPERIMENTAL BRAIN RESEARCH, 2010, 202 (02) : 299 - 306
  • [6] Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
    Dai, Houde
    Zhang, Pengyue
    Lueth, Tim C.
    [J]. SENSORS, 2015, 15 (10) : 25055 - 25071
  • [7] R-point Detection for Noise Affected ECG Recording through Signal Segmentation
    Galeano, M.
    Calisto, A.
    Bramanti, A.
    Serrano, S.
    Campobello, G.
    Azzerboni, B.
    [J]. 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 638 - 641
  • [8] A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson's disease
    Godinho, Catarina
    Domingos, Josefa
    Cunha, Guilherme
    Santos, Ana T.
    Fernandes, Ricardo M.
    Abreu, Daisy
    Goncalves, Nilza
    Matthews, Helen
    Isaacs, Tom
    Duffen, Joy
    Al-Jawad, Ahmed
    Larsen, Frank
    Serrano, Artur
    Weber, Peter
    Thoms, Andrea
    Sollinger, Stefan
    Graessner, Holm
    Maetzler, Walter
    Ferreira, Joaquim J.
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2016, 13
  • [9] Ifeachor E.C., 2001, DIGIT SIGNAL PROCESS
  • [10] LeMoyne R, 2009, 2009 ICME INTERNATIONAL CONFERENCE ON COMPLEX MEDICAL ENGINEERING, P480