AIMC Topic: Biomechanical Phenomena

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Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds.

Computers in biology and medicine
BACKGROUND: Muscle activation level is currently being captured using impractical and expensive devices which make their use in telemedicine settings extremely difficult. To address this issue, a prototype is presented of a non-invasive, easy-to-inst...

Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data.

IEEE journal of biomedical and health informatics
Fall detection is an important public healthcare problem. Timely detection could enable instant delivery of medical service to the injured. A popular nonintrusive solution for fall detection is based on videos obtained through ambient camera, and the...

Human arm joints reconstruction algorithm in rehabilitation therapies assisted by end-effector robotic devices.

Journal of neuroengineering and rehabilitation
BACKGROUND: End-effector robots are commonly used in robot-assisted neuro-rehabilitation therapies for upper limbs where the patient's hand can be easily attached to a splint. Nevertheless, they are not able to estimate and control the kinematic conf...

Bipedal robotic walking control derived from analysis of human locomotion.

Biological cybernetics
This paper proposes the design of a bipedal robotic controller where the function between the sensory input and motor output is treated as a black box derived from human data. In order to achieve this, we investigated the causal relationship between ...

Dynamic traversal of large gaps by insects and legged robots reveals a template.

Bioinspiration & biomimetics
It is well known that animals can use neural and sensory feedback via vision, tactile sensing, and echolocation to negotiate obstacles. Similarly, most robots use deliberate or reactive planning to avoid obstacles, which relies on prior knowledge or ...

Kinematic measures for upper limb robot-assisted therapy following stroke and correlations with clinical outcome measures: A review.

Medical engineering & physics
AIM OF THE STUDY: This review classifies the kinematic measures used to evaluate post-stroke motor impairment following upper limb robot-assisted rehabilitation and investigates their correlations with clinical outcome measures.

Assessment of cortical bone fracture resistance curves by fusing artificial neural networks and linear regression.

Computer methods in biomechanics and biomedical engineering
Bone injures (BI) represents one of the major health problems, together with cancer and cardiovascular diseases. Assessment of the risks associated with BI is nontrivial since fragility of human cortical bone is varying with age. Due to restrictions ...

IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning.

Sensors (Basel, Switzerland)
Human body motion analysis based on wearable inertial measurement units (IMUs) receives a lot of attention from both the research community and the and industrial community. This is due to the significant role in, for instance, mobile health systems,...

An overview of robotic/mechanical devices for post-stroke thumb rehabilitation.

Disability and rehabilitation. Assistive technology
PURPOSE: This article aims to clarify the current state-of-the-art of robotic/mechanical devices for post-stroke thumb rehabilitation as well as the anatomical characteristics and motions of the thumb that are crucial for the development of any devic...

Using optical tracking for kinematic testing of medical robots.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: In image-guided robotic interventions, an error component is related to the positioning error of the manipulator. Therefore, measuring the kinematic error is required during robot development. However, no specialized measurement device ex...