Literature DB >> 21096872

Wireless medical sensor measurements of fatigue in patients with multiple sclerosis.

Fei Yu1, Arne Bilberg, Egon Stenager.   

Abstract

This paper presents our experience with developing a portable wireless medical sensor device. We use National Instruments (NI) devices and LabView for measurements studying fatigue of patients suffering multiple sclerosis (MS). Fatigue is a very frequent symptom perceived by MS patients, but the disease mechanism is poorly understood. Many efforts have been made to increase the understanding of this complex phenomenon. It has been found that fatigue might be associated with abnormalities in various anatomical brain areas. Also some secondary factors, not directly related to the disease, such as depression, sleep disorder, severe pain, use of medication and psychological factors might be of importance. However, the relationship with physiological parameters and motion activities in MS patients with fatigue across time are still unknown. Therefore, we hypothesize that we could provide a new assessment of fatigue in MS besides the questionnaires that are currently employed. Furthermore we can discover more secondary factors contributing to fatigue by measuring and monitoring a battery of physiological parameters over an extended time span (e.g. 48 hours) in MS patients without disturbing their normal life behavior. We have developed wireless medical sensor devices and conducted the following, namely Electrocardiograph, body skin temperature, eye movement detection, Electromyograph, motion detection, and muscle strength. In this paper, we describe the technology and design procedures of each measurement and present data from the first two test patients.

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Year:  2010        PMID: 21096872     DOI: 10.1109/IEMBS.2010.5627530

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  3 in total

1.  Assessment of Residual Radioactivity by a Comprehensive Wireless, Wearable Device in Thyroid Cancer Patients Undergoing Radionuclide Therapy and Comparison With the Results of a Home Device: A Feasibility Study.

Authors:  R Gallicchio; D Scapicchio; A Nardelli; T Pellegrino; M Prisco; P Mainenti; C Sirignano; P Pedicini; G Storto
Journal:  IEEE J Transl Eng Health Med       Date:  2020-12-02       Impact factor: 3.316

2.  A wireless sEMG recording system and its application to muscle fatigue detection.

Authors:  Kang-Ming Chang; Shin-Hong Liu; Xuan-Han Wu
Journal:  Sensors (Basel)       Date:  2012-01-05       Impact factor: 3.576

3.  Comparative Analysis of Supervised Classifiers for the Evaluation of Sarcopenia Using a sEMG-Based Platform.

Authors:  Alessandro Leone; Gabriele Rescio; Andrea Manni; Pietro Siciliano; Andrea Caroppo
Journal:  Sensors (Basel)       Date:  2022-04-01       Impact factor: 3.576

  3 in total

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