Experimental comparison of orientation estimation algorithms in motion tracking for rehabilitation

Daponte, P.; Vito, Luca De; Riccio, Maria; Sementa, Carmine

doi:10.1109/memea.2014.6860048

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…IMUs provide raw acceleration, angular rate and magnetic field data that need to be fused together to obtain a sole, optimal estimate of orientation. Diverse algorithms have been proposed in the literature to that end, including Kalman filters [ 63 ], least squares filters [ 64 ] or Gaussian particle filters [ 65 ], among many others [ 66 , 67 ]. The mDurance system particularly implements a recent technique, Madgwick's algorithm [ 68 ], which outperforms most existing approaches in terms of implementation complexity, sampling rate requirements and computational needs.…”

Section: Mdurance: a Novel System For Trunk Endurance Assessmentmentioning

confidence: 99%

mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment

Baños

Moral-Muñoz

Diaz-Reyes

et al. 2015

Sensors

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Low back pain is the most prevalent musculoskeletal condition. This disorder constitutes one of the most common causes of disability worldwide, and as a result, it has a severe socioeconomic impact. Endurance tests are normally considered in low back pain rehabilitation practice to assess the muscle status. However, traditional procedures to evaluate these tests suffer from practical limitations, which potentially lead to inaccurate diagnoses. The use of digital technologies is considered here to facilitate the task of the expert and to increase the reliability and interpretability of the endurance tests. This work presents mDurance, a novel mobile health system aimed at supporting specialists in the functional assessment of trunk endurance by using wearable and mobile devices. The system employs a wearable inertial sensor to track the patient trunk posture, while portable electromyography sensors are used to seamlessly measure the electrical activity produced by the trunk muscles. The information registered by the sensors is processed and managed by a mobile application that facilitates the expert's normal routine, while reducing the impact of human errors and expediting the analysis of the test results. In order to show the potential of the mDurance system, a case study has been conducted. The results of this study prove the reliability of mDurance and further demonstrate that practitioners are certainly interested in the regular use of a system of this nature.

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Section: Mdurance: a Novel System For Trunk Endurance Assessmentmentioning

confidence: 99%

mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment

Baños

Moral-Muñoz

Diaz-Reyes

et al. 2015

Sensors

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“…As an example, accelerometer data could be logged, and from that, stride time could be extracted using the methodology as described in [17]. Also, there has been experimental comparison of orientation estimation algorithms in motion tracking for rehabilitation [18] that could be incorporated. Finally, external sensor data could be fused with data collected from the handheld device [19].…”

Section: B Stealth Data Acquisition and Algorithmsmentioning

confidence: 99%

Smart environments using near-field communication and HTML5

Russell

Goubran

Kwamena

2015

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings

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Home health care and home automation increasingly allows more seniors to maintain independence, and remain longer in their own homes. Similarly, a post-surgical patient may be discharged from a medical facility to their house, which electronically facilitates their recuperation and promotes recovery. Smart environments are making the task of providing assistive technology in the home easier and more affordable. Near-field communication (NFC) has become popular in recent years. Increasing uptake of NFC-enabled smartphones has opened a new avenue to facilitate creation of a smart environment without the need for significant infrastructure. HTML5 is the latest version of the hypertext markup language, with unique code that enables access to advanced features on a smartphone. Proprietary apps can potentially be inconvenient and inconsistent and may even decrease uptake of the technology. In this paper, we propose a new methodology to enable NFC tags and NFC smartphones in conjunction with HTML5 backbone code, to be used for smart environments in home health care applications without the need for specific applications to be installed on the smartphone. Results show significant promise with just the built in phone software with use of NFC and HTML5 for various applications of smart environments. In many common tasks in a smart environment that increase patient safety, NFC tags can be not only informative, but an integral component of the system by triggering specific HTML5 code to provide appropriate responses -without the need to install specialized apps as long as the NFC is enabled in the mobile device.

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“…Patient's posture was intended to be reconstructed from sensed data by a dedicated server, Posture Reconstruction Server (PRS), installed at medical facilities, running multiple instances of an orientation estimation algorithm at a time. Three of the most efficient algorithms for orientation estimation proposed in research were compared and found capable of meeting the accuracy requirements expected in rehabilitation applications [6]. More precisely, it turned out that the solution based on gradient descent algorithm (GDA) [7] is the best at performing joint angular measurement, both under static and dynamic conditions, for the daily-life gestures recreated.…”

Section: Introductionmentioning

confidence: 99%

Investigating the on-board data processing for IMU-based sensors in motion tracking for rehabilitation

Daponte

Vito

Mazzilli

et al. 2015

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings

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This paper investigates the effects of shifting computation-intensive workload for motion tracking based on sensor network from a dedicated remote server to an embedded microcontroller. The importance of battery life is exacerbated for devices designed to work in biomedical field as the prolonged operability could make a vital difference in mobile contexts. Onboard processing usually drives to less communication, so the balance between the power consumed by more operations and that saved by limiting the radio transmissions has been evaluated. A measurement station has been realized to measure the energy budget needed to let more patients be monitored simultaneously and, at the same time, to increase the number of sensor nodes working together in the network. Finally, functional equivalence of the implementation has been proven.This full text paper was peer-reviewed at the direction of IEEE Instrumentation and Measurement Society prior to the acceptance and publication.978-1-4799-6477-2/15/$31.00 ©2015 IEEE

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Experimental comparison of orientation estimation algorithms in motion tracking for rehabilitation

Cited by 6 publications

References 16 publications

mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment

mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment

Smart environments using near-field communication and HTML5

Investigating the on-board data processing for IMU-based sensors in motion tracking for rehabilitation

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