Miniature Wireless Inertial Sensor for Measuring Human Motions

Acht, Victor van; Bongers, Edwin; Lambert, N.; Verberne, R.

doi:10.1109/iembs.2007.4353790

Cited by 48 publications

(30 citation statements)

References 3 publications

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“…Another sensor was worn on the chest (sternum), because this seems a practical location for mobility monitoring [12]. Each sensor contained a 3D accelerometer (±2g), gyroscope (±300°/s) and magnetometer (±2G) [7][8][9]13]. Sampling frequency was 50Hz.…”

Section: Data Acquisitionmentioning

confidence: 99%

Sensor-based monitoring of sit-to-stand performance is indicative of objective and self-reported aspects of functional status in older adults

Regterschot¹,

Zhang²,

Baldus³

et al. 2015

Gait & Posture

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Section: Data Acquisitionmentioning

confidence: 99%

Sensor-based monitoring of sit-to-stand performance is indicative of objective and self-reported aspects of functional status in older adults

Regterschot¹,

Zhang²,

Baldus³

et al. 2015

Gait & Posture

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“…IMUs are used in aerospace, marine and automotive fields and are now increasingly used for human motion tracking in several clinical applications. [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] We used IMUs from Xsens Technologies (XSens MTx, www.xsens.com). Under controlled conditions of motion using a Gimbal table, the Xsens MTx IMUs have demonstrated an absolute mean precision of 0.3° to 1.0° depending on the axis of rotation under slow conditions of motion when compared to an optical motion tracking system (Optotrak).…”

Section: Main Outcome: Measures Of Cervical Spine Motion (Figure 2)mentioning

confidence: 99%

Cervical Spine Motion during Transfer and Stabilization Techniques

Shrier¹,

Boissy²,

Lebel³

et al. 2014

Prehospital Emergency Care

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Objectives: To compare paramedics' ability to minimize cervical spine motion during patient transfer onto a vacuum mattress with two stabilization techniques (Head Squeeze vs. Trap Squeeze) and two transfer methods (log roll with one assistant (LR 2 ) vs. 3 assistants (LR 4 )).Methods: We used a cross-over design to minimize bias. Each lead paramedic performed 10 LR 2 transfers and 10 LR 4 transfers . For each of the 10 LR 2 and 10 LR 4 transfers, the lead paramedic stabilized the cervical spine using the Head Squeeze technique five times and the Trap Squeeze technique five times. We randomized the order of the stabilization techniques and LR 2 / LR 4 across lead paramedics to avoid a practice or fatigue effect with repeated trials. We measured relative cervical spine motion between the head and trunk using Inertial Measurement Units placed on the forehead and sternum.Results: On average, total motion was 3.9° less with three assistants compared to one assistant (p=0.0002), and 2.8° less with the Trap Squeeze compared to the Head Squeeze (p=0.002). There was no interaction between the transfer method and stabilization technique. When examining specific motions in the six directions, the Trap Squeeze generally produced less lateral flexion and rotation motion but allowed more extension. Examining within paramedic differences, some paramedics were clearly more proficient with the Trap Squeeze technique and others were clearly more proficient with the Head Squeeze technique.Conclusion: Paramedics performing a log roll with three assistants created less motion compared to a log roll with only one assistant, and using the Trap Squeeze stabilization technique resulted in less motion than the Head Squeeze technique. However, the clinical relevance of the magnitude remains unclear. However, large individual differences suggest future paramedic training should incorporate both best evidence practice as well as recognition that there may be individual differences between paramedics.

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“…The sensor nodes employed use a separate Coolflux DSP for data sampling, filtering, calibration and control [16]. The radio IC uses a dedicated wire to accurately trigger a synchronization event on the DSP and then sends the corresponding synchronized time over a serial link, and the DSP synchronizes its local clock similarly as described before.…”

Section: Synchronization Issues On the Nwsp Platformmentioning

confidence: 99%

Considerations for Synchronization in Body Area Networks for Human Activity Monitoring

Plomp

Heiskanen

Hillukkala

et al. 2011

Int J Wireless Inf Networks

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In this paper, we highlight considerations for synchronization issues in body area networks. Requirements for the synchronization accuracy in body area networks depend on the application at hand. Synchronization may be needed for power management, sample ordering, calculation of stimulus responses and for sensor fusion. This paper provides a theoretical exercise to help understand the accuracy required for typical human motion sensing. It gives an overview of various synchronisation strategies used and implemented in prototype systems. Lessons learnt from practical implementations using Bluetooth, an IEEE 802.15.4 proprietary network and Nanonet are presented to illustrate the principles involved.The discussion provides some considerations and the requirements for typical WBAN applications.

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Miniature Wireless Inertial Sensor for Measuring Human Motions

Cited by 48 publications

References 3 publications

Sensor-based monitoring of sit-to-stand performance is indicative of objective and self-reported aspects of functional status in older adults

Sensor-based monitoring of sit-to-stand performance is indicative of objective and self-reported aspects of functional status in older adults

Cervical Spine Motion during Transfer and Stabilization Techniques

Considerations for Synchronization in Body Area Networks for Human Activity Monitoring

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