Sensing Power Transfer Between the Human Body and the Environment

Veltink, Petrus H.; Kortier, H.G.; Schepers, H. Martin

doi:10.1109/tbme.2009.2014963

Cited by 27 publications

(25 citation statements)

References 47 publications

(41 reference statements)

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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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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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“…An example is the assessment of power transfer between the human body and the environment at any time, and the work performed, which are important quantities when evaluating and optimizing the physical interaction in sports, physical labor and rehabilitation [113]. The power is calculated by summing the inner product of force and velocity, and of moment and angular velocity.…”

Section: Recommendations For Future Researchmentioning

confidence: 99%

“…Also, force and movement have to be measured in the same coordinate frame. Besides the assessment of power transfer between the human body and its environment, the measured quantities can also be used to provide information about the dynamic characteristics of the load and the human body [113]. These aspect are currently being investigated in the 'PowerSensor' project financed by the Dutch Technical Sciences Foundation (STW).…”

Section: Recommendations For Future Researchmentioning

confidence: 99%

Ambulatory assessment of human body kinematics en kinetics

Schepers¹

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“…1711-1718, 2009. [194] The following sections outline the historical perspectives on interactions via the human hand, kinematic and kinetic sensing on the human body, and eventually the assessment of simultaneous force and movement sensing applied on the human hand.…”

Section: Assessment Of Interactions Between Body and Environmentmentioning

confidence: 99%

“…For short time intervals in which the velocity of a certain limb can repeatedly be considered as negligible, for example the foot during walking, suitable initial and final conditions can be applied to mitigate integration drift of the estimated position [165,176,194].…”

Section: Introductionmentioning

confidence: 99%

Assessment of hand kinematics and interactions with the environment

Kortier¹

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The hand is one of the most important instruments of our body. Its versatility enables the execution of a wide range of tasks that ask for a powerful, precise or gentle approach. Measuring hand and finger movements, and interaction forces, is therefore important for the assessment of tasks in daily life. However, measuring on-body kinematic and kinetic quantities is a delicate procedure due to the dexterity of the hand, and moreover, the little and complex shaped skin places for sensor attachment. This thesis proposes a new on-body assessment system that allows the measurement of movements and interaction forces of the hand, fingers and thumb.The first objective, the development, evaluation and validation of an inertial and magnetic sensing system for the measurement of hand and finger kinematics is the topic of chapters 2 to 5. The second objective, assessment of the dynamic interaction between human hand and environment using combined force and movement sensing, is the topic of chapter 6.Chapter 2 describes the hardware and algorithms for a sensing system which can be attached to the hand, fingers and the thumb. The hardware consists of multiple inertial and magnetic sensors to measure angular velocities, accelerations and the magnetic field. Each individual finger and the thumb is modelled as a kinematic chain where the bones correspond to the linkages and each joint is considered as an ideal ball-socket joint. Segmental lengths were determined by manual measurement, whereas the inertial sensors provided the input for a Kalman filter to estimate the 3D orientation of the corresponding segment. Hereafter, the orientation and tip position of each finger was estimated by applying forward kinematics. To our knowledge, it is the first system that uses inertial sensors for estimating finger kinematics. The estimation quality was expressed in terms of static and dynamic accuracy, dynamic range and repeatability. Differences with an active optical reference system were found to be a maximum of 13 mm for the finger tip distance difference during circular pointing movements. A standardized test protocol for instrumented gloves showed very good repeatability results compared to other datagloves, proven by the mean angle difference of < 2 degrees. Finally, a dynamic range was specified as a measure of how well the system is able to reconstruct joint angles when experiencing large angular velocities. The system showed accurate reconstruction up to 116 full index finger flex-extension movements per minute.Chapter 3 reports an extensive comparison of our inertial sensing system against a passive opto-electronic marker system. It aims on typical hand-function tasks, including tapping, (fast) finger flexion, hand opening/closing, ab-adduction and circular pointing, which are used to quantify various motor symptoms for clinical diagnosis. Three subjects were included and instrumented with both systems. Differences in position, Range of Motion (RoM) and 3D vii joint angles were noted of which the largest were found in fast and ...

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Sensing Power Transfer Between the Human Body and the Environment

Cited by 27 publications

References 47 publications

Cervical Spine Motion during Transfer and Stabilization Techniques

Cervical Spine Motion during Transfer and Stabilization Techniques

Ambulatory assessment of human body kinematics en kinetics

Assessment of hand kinematics and interactions with the environment

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