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Inertial sensors

Katja Orlowski, Falko Eckardt, Fabian Herold, Norman Aye, Jürgen Edelmann-Nusser, Kerstin Witte
Gait analysis is an important and useful part of the daily therapeutic routine. InvestiGAIT, an inertial sensor-based system, was developed for using in different research projects with a changing number and position of sensors and because commercial systems do not capture the motion of the upper body. The current study is designed to evaluate the reliability of InvestiGAIT consisting of four off-the-shelf inertial sensors and in-house capturing and analysis software. Besides the determination of standard gait parameters, the motion of the upper body (pelvis and spine) can be investigated...
January 18, 2017: Biomedizinische Technik. Biomedical Engineering
Bence J Borbély, Péter Szolgay
BACKGROUND: Model based analysis of human upper limb movements has key importance in understanding the motor control processes of our nervous system. Various simulation software packages have been developed over the years to perform model based analysis. These packages provide computationally intensive-and therefore off-line-solutions to calculate the anatomical joint angles from motion captured raw measurement data (also referred as inverse kinematics). In addition, recent developments in inertial motion sensing technology show that it may replace large, immobile and expensive optical systems with small, mobile and cheaper solutions in cases when a laboratory-free measurement setup is needed...
January 17, 2017: Biomedical Engineering Online
Johan Wahlstrom, Isaac Skog, Peter Handel, Farzad Khosrow-Khavar, Kouhyar Tavakolian, Phyllis K Stein, Arye Nehorai
We propose a hidden Markov model approach for processing seismocardiograms. The seismocardiogram morphology is learned using the expectation-maximization algorithm, and the state of the heart at a given time instant is estimated by the Viterbi algorithm. From the obtained Viterbi sequence, it is then straightforward to estimate instantaneous heart rate, heart rate variability measures, and cardiac time intervals (the latter requiring a small number of manual annotations). As is shown in the conducted experimental study, the presented algorithm outperforms the state-of-the-art in seismocardiogrambased heart rate and heart rate variability estimation Moreover, the isovolumic contraction time and the left ventricular ejection time are estimated with mean absolute errors of about 5 [ms] and 9 [ms], respectively...
January 9, 2017: IEEE Transactions on Bio-medical Engineering
Silvia Pancani, Wendy Tindale, Pamela J Shaw, Christopher J McDermott, Claudia Mazzà
BACKGROUND: Neck muscle weakness and head drop are well recognised in patients with Amyotrophic lateral sclerosis (ALS), but an objective characterisation of the consequent head movement impairment is lacking. The aim of this study was to quantitatively characterise head movements in ALS compared to aged matched controls. METHODS: We evaluated two groups, one of thirteen patients with ALS and one of thirteen age-matched controls, during the execution of a series of controlled head movements, performed while wearing two inertial sensors attached on the forehead and sternum, respectively...
2017: PloS One
Laurence Blaxter, Mildrid Yeo, Donal McNally, John Crowe, Caroline Henry, Sarah Hill, Neil Mansfield, Andrew Leslie, Don Sharkey
Inter-hospital transport of premature infants is increasingly common, given the centralisation of neonatal intensive care. However, it is known to be associated with anomalously increased morbidity, most notably brain injury, and with increased mortality from multifactorial causes. Surprisingly, there have been relatively few previous studies investigating the levels of mechanical shock and vibration hazard present during this vehicular transport pathway. Using a custom inertial datalogger, and analysis software, we quantify vibration and linear head acceleration...
December 1, 2016: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
Luca Leonardi, Maria Gabriella Aceto, Christian Marcotulli, Giuseppe Arcuria, Mariano Serrao, Francesco Pierelli, Paolo Paone, Alessandro Filla, Alessandro Roca, Carlo Casali
The aim of this pilot study is to test the feasibility and effectiveness of a wearable proprioceptive stabilizer that emits focal mechanical vibrations in patients affected by hereditary cerebellar ataxias. Eleven adult patients with a confirmed genetic diagnosis of autosomal dominant spinocerebellar ataxia or Friedreich's ataxia were asked to wear an active device for 3 weeks. Assessments were performed at baseline, after the device use (T1), and 3 weeks after (T2). SARA, 9-HPT, PATA, 6MWT, and spatial and temporal gait parameters, measured with a BTS-G-Walk inertial sensor, were used as study endpoints...
December 31, 2016: Neurological Sciences
Alessandro R P Machado, Hudson Capanema Zaidan, Ana Paula Souza Paixão, Guilherme Lopes Cavalheiro, Fábio Henrique Monteiro Oliveira, João Areis Ferreira Barbosa Júnior, Kheline Naves, Adriano Alves Pereira, Janser Moura Pereira, Nader Pouratian, Xiaoyi Zhuo, Andrew O'Keeffe, Justin Sharim, Yvette Bordelon, Laurice Yang, Marcus Fraga Vieira, Adriano O Andrade
BACKGROUND: Over the years, a number of distinct treatments have been adopted for the management of the motor symptoms of Parkinson's disease (PD), including pharmacologic therapies and deep brain stimulation (DBS). Efficacy is most often evaluated by subjective assessments, which are prone to error and dependent on the experience of the examiner. Our goal was to identify an objective means of assessing response to therapy. METHODS: In this study, we employed objective analyses in order to visualize and identify differences between three groups: healthy control (N = 10), subjects with PD treated with DBS (N = 12), and subjects with PD treated with levodopa (N = 16)...
December 30, 2016: Biomedical Engineering Online
Andrea Mannini, Octavio Martinez-Manzanera, Tjitske F Lawerman, Diana Trojaniello, Ugo Della Croce, Deborah A Sival, Natasha M Maurits, Angelo Maria Sabatini
Early-Onset Ataxia (EOA) and Developmental Coordination Disorder (DCD) are two conditions that affect coordination in children. Phenotypic identification of impaired coordination plays an important role in their diagnosis. Gait is one of the tests included in rating scales that can be used to assess motor coordination. A practical problem is that the resemblance between EOA and DCD symptoms can hamper their diagnosis. In this study we employed inertial sensors and a supervised classifier to obtain an automatic classification of the condition of participants...
December 2, 2016: Gait & Posture
Daniele Ravi, Charence Wong, Benny Lo, Guang-Zhong Yang
The increasing popularity of wearable devices in recent years means that a diverse range of physiological and functional data can now be captured continuously for applications in sports, wellbeing, and healthcare. This wealth of information requires efficient methods of classification and analysis where deep learning is a promising technique for large-scale data analytics. Whilst deep learning has been successful in implementations that utilize high performance computing platforms, its use on low-power wearable devices is limited by resource constraints...
December 23, 2016: IEEE Journal of Biomedical and Health Informatics
Yu Song, Stephen Nuske, Sebastian Scherer
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autonomous obstacle avoidance, robust flight control and 3D environmental mapping. There are three main challenges for MAV state estimation: (1) it can deal with aggressive 6 DOF (Degree Of Freedom) motion; (2) it should be robust to intermittent GPS (Global Positioning System) (even GPS-denied) situations; (3) it should work well both for low- and high-altitude flight. In this paper, we present a state estimation technique by fusing long-range stereo visual odometry, GPS, barometric and IMU (Inertial Measurement Unit) measurements...
December 22, 2016: Sensors
Gheorghe-Daniel Voinea, Silviu Butnariu, Gheorghe Mogan
This paper presents a mathematical model that can be used to virtually reconstruct the posture of the human spine. By using orientation angles from a wearable monitoring system based on inertial sensors, the model calculates and represents the curvature of the spine. Several hypotheses are taken into consideration to increase the model precision. An estimation of the postures that can be calculated is also presented. A non-invasive solution to identify the human back shape can help reducing the time needed for medical rehabilitation sessions...
December 22, 2016: Sensors
Katelyn Cahill-Rowley, Jessica Rose
Reaching is a well-practiced functional task crucial to daily living activities, and temporal-spatial measures of reaching reflect function for both adult and pediatric populations with upper-extremity motor impairments. Inertial sensors offer a mobile and inexpensive tool for clinical assessment of movement. This research outlines a method for measuring temporal-spatial reach parameters using inertial sensors, and validates these measures with traditional marker-based motion capture. 140 reaches from 10 adults, and 30 reaches from nine children aged 18-20 months, were recorded and analyzed using both inertial-sensor and motion-capture methods...
October 26, 2016: Journal of Biomechanics
Angelo Maria Sabatini, Andrea Mannini
A novel approach for estimating the instantaneous velocity of the pelvis during walking was developed based on Inertial Measurement Units (IMUs). The instantaneous velocity was modeled by the sum of a cyclical component, decomposed in the Medio-Lateral (ML), VerTical (VT) and Antero-Posterior (AP) directions, and the Average Progression Velocity (APV) over each gait cycle. The proposed method required the availability of two IMUs, attached to the pelvis and one shank. Gait cycles were identified from the shank angular velocity; for each cycle, the Fourier series coefficients of the pelvis and shank acceleration signals were computed...
December 21, 2016: Sensors
Tsu-Jui Cheng, Laurence Kenney, James David Amor, Sibylle Brunhilde Thies, Eleonora Costamagna, Christopher James, Catherine Holloway
The use of walking aids is prevalent among older people and people with mobility impairment. Rollators are designed to support outdoor mobility and require the user to negotiate curbs and slopes in the urban environment. Despite the prevalence of rollators, analysis of their use outside of controlled environments has received relatively little attention. This Letter reports on an initial study to characterise rollator movement. An inertial measurement unit (IMU) was used to measure the motion of the rollator and analytical approaches were developed to extract features characterising the rollator movement, properties of the surface and push events...
December 2016: Healthcare Technology Letters
Takashi Watanabe, Shun Endo, Ryusei Morita
This study aimed at developing a prototype of portable FES rehabilitation system for relearning gait pattern of healthy subjects, which can measure gait information during walking applying electrical stimulation for foot drop correction or providing timing information. A gait event detection method using an inertial sensor attached on the foot was determined based on gait of healthy subjects from simultaneous measurements with pressure sensors. From the result of comparing the detected gait event timings with EMG signal of the tibialis anterior muscle during walking of healthy subjects, the toe off and the foot flat timings detected by the inertial sensor were suggested to be useful to determine the stimulation timing for the foot drop correction...
December 2016: Healthcare Technology Letters
Cheng Wang, Xiangdong Wang, Zhou Long, Jing Yuan, Yueliang Qian, Jintao Li
Most existing wearable gait analysis methods focus on the analysis of data obtained from inertial sensors. This paper proposes a novel, low-cost, wireless and wearable gait analysis system which uses microphone sensors to collect footstep sound signals during walking. This is the first time a microphone sensor is used as a wearable gait analysis device as far as we know. Based on this system, a gait analysis algorithm for estimating the temporal parameters of gait is presented. The algorithm fully uses the fusion of two feet footstep sound signals and includes three stages: footstep detection, heel-strike event and toe-on event detection, and calculation of gait temporal parameters...
December 17, 2016: Sensors
Amedeo Rodi Vetrella, Giancarmine Fasano, Domenico Accardo, Antonio Moccia
Autonomous navigation of micro-UAVs is typically based on the integration of low cost Global Navigation Satellite System (GNSS) receivers and Micro-Electro-Mechanical Systems (MEMS)-based inertial and magnetic sensors to stabilize and control the flight. The resulting navigation performance in terms of position and attitude accuracy may not suffice for other mission needs, such as the ones relevant to fine sensor pointing. In this framework, this paper presents a cooperative UAV navigation algorithm that allows a chief vehicle, equipped with inertial and magnetic sensors, a Global Positioning System (GPS) receiver, and a vision system, to improve its navigation performance (in real time or in the post processing phase) exploiting formation flying deputy vehicles equipped with GPS receivers...
December 17, 2016: Sensors
Josien C van den Noort, Nathalie van Beek, Thomas van der Kraan, DirkJan H E J Veeger, Dick F Stegeman, Peter H Veltink, Huub Maas
The variability in the numerous tasks in which we use our hands is very large. However, independent movement control of individual fingers is limited. To assess the extent of finger independency during full-range finger flexion including all finger joints, we studied enslaving (movement in non-instructed fingers) and range of independent finger movement through the whole finger flexion trajectory in single and multi-finger movement tasks. Thirteen young healthy subjects performed single- and multi-finger movement tasks under two conditions: active flexion through the full range of movement with all fingers free to move and active flexion while the non-instructed finger(s) were restrained...
2016: PloS One
Majid Sepahvand, Fardin Abdali-Mohammadi, Farhad Mardukhi
The development of sensors with the microelectromechanical systems technology expedites the emergence of new tools for human-computer interaction, such as inertial pens. These pens, which are used as writing tools, do not depend on a specific embedded hardware, and thus, they are inexpensive. Most of the available inertial pen character recognition approaches use the low-level features of inertial signals. This paper introduces a Persian/Arabic handwriting character recognition system for inertial-sensor-equipped pens...
December 13, 2016: IEEE Transactions on Cybernetics
Philipp Muller, Marc-Andre Begin, Thomas Schauer, Thomas Seel
Due to their relative ease of handling and low cost, inertial measurement unit (IMU)-based joint angle measurements are used for a widespread range of applications. These include sports performance, gait analysis and rehabilitation (e.g. Parkinson's disease monitoring or post-stroke assessment). However, a major downside of current algorithms, recomposing human kinematics from IMU data, is that they require calibration motions and/or the careful alignment of the IMUs with respect to the body segments. In this article, we propose a new method, which is alignment-free and self-calibrating using arbitrary movements of the user and an initial zero reference arm pose...
December 14, 2016: IEEE Journal of Biomedical and Health Informatics
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