Literature DB >> 22254785

Low-power sensor module for long-term activity monitoring.

Kaspar Leuenberger1, Roger Gassert.   

Abstract

Wearable sensor modules are a promising approach to collecting data on functional motor activities, both for repeated and long-term assessments, as well as to investigate the transfer of therapy to activities of daily living at home, but have so far either had limited sensing capabilities, or were not laid out for long-term monitoring. This paper presents ReSense, a miniature sensor unit optimized for long-term monitoring of functional activity. Inertial MEMS sensors capture accelerations along six degrees of freedom and a barometric pressure sensor serves as a precise altimeter. Data is written to an integrated memory card. The realized module measures Ø25 × 10 mm, weighs 10 g and can record continuously for 27 h at 25 Hz and over 22 h at 100 Hz. The integrated power-management system detects inactivity and extends the operating time by about a factor of two, as shown by initial 24 h recordings on five energetic healthy adults. The integrated barometric pressure sensor allowed to identify activities incorporating a change in altitude, such as going up/down stairs or riding an elevator. By taking into account data from the inertial sensors during the altitude changes, it becomes possible to distinguish between these two activities.

Mesh:

Year:  2011        PMID: 22254785     DOI: 10.1109/IEMBS.2011.6090424

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  11 in total

1.  A stochastic approach to noise modeling for barometric altimeters.

Authors:  Angelo Maria Sabatini; Vincenzo Genovese
Journal:  Sensors (Basel)       Date:  2013-11-18       Impact factor: 3.576

2.  Toward real-time automated detection of turns during gait using wearable inertial measurement units.

Authors:  Domen Novak; Maja Goršič; Janez Podobnik; Marko Munih
Journal:  Sensors (Basel)       Date:  2014-10-10       Impact factor: 3.576

3.  Accuracy-energy configurable sensor processor and IoT device for long-term activity monitoring in rare-event sensing applications.

Authors:  Daejin Park; Jeonghun Cho
Journal:  ScientificWorldJournal       Date:  2014-12-14

4.  Monitoring Upper Limb Recovery after Cervical Spinal Cord Injury: Insights beyond Assessment Scores.

Authors:  Michael Brogioli; Sophie Schneider; Werner L Popp; Urs Albisser; Anne K Brust; Inge-Marie Velstra; Roger Gassert; Armin Curt; Michelle L Starkey
Journal:  Front Neurol       Date:  2016-08-31       Impact factor: 4.003

5.  A method to qualitatively assess arm use in stroke survivors in the home environment.

Authors:  Kaspar Leuenberger; Roman Gonzenbach; Susanne Wachter; Andreas Luft; Roger Gassert
Journal:  Med Biol Eng Comput       Date:  2016-04-22       Impact factor: 2.602

Review 6.  Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment.

Authors:  Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Friedhelm C Hummel
Journal:  J Neuroeng Rehabil       Date:  2019-11-19       Impact factor: 4.262

7.  Turning in Circles: Understanding Manual Wheelchair Use Towards Developing User-Friendly Steering Systems.

Authors:  Reto Togni; Andrea Kilchenmann; Alba Proffe; Joel Mullarkey; László Demkó; William R Taylor; Roland Zemp
Journal:  Front Bioeng Biotechnol       Date:  2022-02-17

8.  Estimation of Energy Expenditure in Wheelchair-Bound Spinal Cord Injured Individuals Using Inertial Measurement Units.

Authors:  Werner L Popp; Lea Richner; Michael Brogioli; Britta Wilms; Christina M Spengler; Armin E P Curt; Michelle L Starkey; Roger Gassert
Journal:  Front Neurol       Date:  2018-07-03       Impact factor: 4.003

9.  Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments.

Authors:  Fabian Marcel Rast; Rob Labruyère
Journal:  J Neuroeng Rehabil       Date:  2020-11-04       Impact factor: 4.262

10.  Tremor analysis with wearable sensors correlates with outcome after thalamic deep brain stimulation.

Authors:  Dayle Rüegge; Sujitha Mahendran; Lennart H Stieglitz; Markus F Oertel; Roger Gassert; Olivier Lambercy; Christian R Baumann; Lukas L Imbach
Journal:  Clin Park Relat Disord       Date:  2020-08-05
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