Literature DB >> 15468966

Lifecorder: a new device for the long-term monitoring of motor activities for Parkinson's disease.

Naoshi Saito1, Teiji Yamamoto, Yoshihiro Sugiura, Saori Shimizu, Masaru Shimizu.   

Abstract

OBJECTIVE: To quantitatively evaluate motor activity, its fluctuations, and drug effects in patients with Parkinson's disease (PD), the Lifecorder, a new monitoring device, was attached to a group of patients for several weeks. This enabled the continuous recording of motor activity in ten scaled magnitudes at two-minute intervals for 6 weeks. PATIENTS AND METHODS: Thirteen patients with PD who required dopamine receptor agonist therapy were monitored with Lifecorder, and seven healthy subjects served as the control group. The data obtained with this device correlated well with the Unified Parkinson's Disease Rating Scale (UPDRS) and Hoehn-Yahr grading. The dose of cabergoline, a D2-receptor agonist, was increased every 2 weeks, until optimum improvement was achieved.
RESULTS: By adding cabergoline, the mean UPDRS improved from 40.5 to 28.4, which was significant. In parallel, the mean daily walking count (WC) also increased from 2,459 to 3,315 steps (p < 0.01) and movement-related calorie consumption (MCC) increased from 56 to 74 kcal (p < 0.05). UPDRS thus correlated well with WC and MCC (p < 0.05) obtained with this device. The improvement ratio of WC and MCC of each individual patient was compared with that of UPDRS. WC, and MCC shifted in parallel with UPDRS with one exception. The daily time-dependent fluctuation of motor activity was clearly shown by the Excel-generated graphs to improve with D-agonist therapy. In contrast to enhanced daytime activities, nocturnal restfulness was also clearly documented with this device.
CONCLUSION: The unique properties of Lifecorder make this device a useful adjunct to the UPDRS for the objective evaluation of Parkinsonian motor activity. The device has a significant advantage over conventional clinical scales, as daytime as well as nocturnal motor activity can be objectively evaluated over long time periods ranging from one hour to one month, and the magnitude of motor activity is quantifiable in relation to the time-course.

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Year:  2004        PMID: 15468966     DOI: 10.2169/internalmedicine.43.685

Source DB:  PubMed          Journal:  Intern Med        ISSN: 0918-2918            Impact factor:   1.271


  8 in total

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Authors:  Steven T Moore; Valentina Dilda; Bandar Hakim; Hamish G Macdougall
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2.  Light-intensity activities are important for estimating physical activity energy expenditure using uniaxial and triaxial accelerometers.

Authors:  Yosuke Yamada; Keiichi Yokoyama; Risa Noriyasu; Tomoaki Osaki; Tetsuji Adachi; Aya Itoi; Yoshihiko Naito; Taketoshi Morimoto; Misaka Kimura; Shingo Oda
Journal:  Eur J Appl Physiol       Date:  2008-10-14       Impact factor: 3.078

3.  The usefulness of an accelerometer for monitoring total energy expenditure and its clinical application for predicting body weight changes in type 2 diabetic korean women.

Authors:  Ji Yeon Jung; Kyung Ah Han; Hwi Ryun Kwon; Hee Jung Ahn; Jae Hyuk Lee; Kang Seo Park; Kyung Wan Min
Journal:  Korean Diabetes J       Date:  2010-12-31

4.  The Natural Progression of Parkinson's Disease in a Small Cohort with 15 Drug-naïve Patients.

Authors:  Ying Liu; Jin-Hu Fan; Xiang Gao; Li Ma; You-Lin Qiao; Lin Zhang
Journal:  Chin Med J (Engl)       Date:  2015-07-05       Impact factor: 2.628

5.  Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.

Authors:  Nooshin Haji Ghassemi; Julius Hannink; Christine F Martindale; Heiko Gaßner; Meinard Müller; Jochen Klucken; Björn M Eskofier
Journal:  Sensors (Basel)       Date:  2018-01-06       Impact factor: 3.576

6.  Deficits in scaling of gait force and cycle in parkinsonian gait identified by long-term monitoring of acceleration with the portable gait rhythmogram.

Authors:  Hiroo Terashi; Hiroya Utsumi; Yohei Ishimura; Tomoko Takazawa; Yasuyuki Okuma; Mitsuru Yoneyama; Hiroshi Mitoma
Journal:  ISRN Neurol       Date:  2012-10-16

7.  How far do the complaints of patients with Parkinson's disease reflect motor fluctuation? Quantitative analysis using a portable gait rhythmogram.

Authors:  Hiroya Utsumi; Hiroo Terashi; Yohei Ishimura; Tomoko Takazawa; Yasuyuki Okuma; Mitsuru Yoneyama; Hiroshi Mitoma
Journal:  ISRN Neurol       Date:  2012-12-13

8.  The relationships between three-axis accelerometer measures of physical activity and motor symptoms in patients with Parkinson's disease: a single-center pilot study.

Authors:  Hiroto Ito; Daichi Yokoi; Rei Kobayashi; Hisashi Okada; Yasukazu Kajita; Satoshi Okuda
Journal:  BMC Neurol       Date:  2020-09-10       Impact factor: 2.474

  8 in total

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