CNN-Based Self-Attention Weight Extraction for Fall Event Prediction Using Balance Test Score.

Injury, hospitalization, and even death are common consequences of falling for elderly people. Therefore, early and robust identification of people at risk of recurrent falling is crucial from a preventive point of view. This study aims to evaluate the effectiveness of an interpretable semi-supervised approach in identifying individuals at risk of falls by using the data provided by ankle-mounted IMU sensors.

The social Simon effect in the tactile sensory modality: a negative finding.

This study seeks to investigate whether users activate cognitive representations of their partner's action when they are involved in tactile collaborative tasks. The social Simon effect is a spatial stimulus-response interference induced by the mere presence of a partner in a go/nogo task. It has been extensively studied in the visual and auditory sensory modalities, but never before in the tactile modality.

Design and Study of a Smart Cup for Monitoring the Arm and Hand Activity of Stroke Patients.

This paper presents a new platform to monitor the arm and hand activity of stroke patients during rehabilitation exercises in the hospital and at home during their daily living activities. The platform provides relevant data to the therapist in order to assess the patients physical state and adapt the rehabilitation program if necessary. The platform consists of a self-contained smart cup that can be used to perform exercises that are similar to everyday tasks such as drinking.

A planar structure sensitive to out-of-plane forces for the force-controlled injection of suspended and adherent cells.

We present a novel force sensor for the injection of both suspended and adherent cells. Unlike most configurations, this force sensor is independent of the tool interacting with the cells. It is a planar structure that provides a surface sensitive to out-of-plane forces where living cells can be placed for manipulation.

Actuation means for the mechanical stimulation of living cells via microelectromechanical systems: A critical review.

Within a living body, cells are constantly exposed to various mechanical constraints. As a matter of fact, these mechanical factors play a vital role in the regulation of the cell state. It is widely recognized that cells can sense, react and adapt themselves to mechanical stimulation.

Characterization of cellular mechanical behavior at the microscale level by a hybrid force sensing device.

This paper deals with the development of an open design platform for characterization of mechanical cellular behavior. The resulting setup combines Scanning Probe Microscopy (SPM) techniques and advanced robotic approaches in order to carry out both prolonged observations and spatial measurements on biological samples. Visual and force feedback is controlled to achieve automatic data acquisition and to monitor process when high skills are required.

Calibration of lateral force measurements in atomic force microscopy with a piezoresistive force sensor.

We present here a method to calibrate the lateral force in the atomic force microscope. This method makes use of an accurately calibrated force sensor composed of a tipless piezoresistive cantilever and corresponding signal amplifying and processing electronics. Two ways of force loading with different loading points were compared by scanning the top and side edges of the piezoresistive cantilever.

The force sensing bio-microscope: an efficient tool for cells mechanotransduction studies.

This paper deals with the development of an open design platform for explorative cells mechanotransduction investigation. The produced setup combines SPM techniques and advanced robotics approaches allowing to carry out both prolonged observations and spatial measurements on biological samples. As a result, enhanced force probing method based on scanning microscopy techniques and advanced robotics/automation approaches are integrated in this device.