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Biomedical subjects

R F Kleissen

Publications and source records attributed to R F Kleissen.

4 recordsLinked to original sources
PubMed1998

[Clinical analysis of motion using multimedia technology].

In disabling orthopaedic and neurological disorders, in addition to clinical and imaging examination, observation of the motion is an important method of examination. It serves as a starting point for the motion analysis using digital video. In this way, muscle functions can be measured with the aid of a kinesiological EMG. Load on the joints of the lower extremities can be deduced from a projection of the foot reaction vector on the body. Combination of a video film of the motion (the gait) with measurement of the kinesiological EMG provides a motion analysis based on multimedia techniques. With modern personal computers, interactive examination of these digital data is simple. Three examples of this functionality can be viewed at the Internet site of this journal (http:@appendix.niwi.knaw.nl): the normal walking cycle, the active stabilization of the knee after an injury of the anterior cruciate ligament and the gait of a woman with cerebral palsy before and after orthopaedic surgery. Motion analysis using multimedia techniques makes it possible to analyse relationships between muscular and articular functions on the one hand and impaired motion on the other in a way that is meaningful to the clinician.

Anterior Cruciate Ligament Injuries↗
PubMed1990

Effects of electromyographic processing methods on computer-averaged surface electromyographic profiles for the gluteus medius muscle.

The objective of this study was to demonstrate how two different linear envelope detectors, as used in the quantification of surface electromyographic (EMG) signals, can lead to differences in the properties of observed computer-averaged EMG profiles. Eight healthy male subjects, aged 24 to 32 years, participated in the study. Computer-averaged EMG profiles for the gluteus medius muscle were recorded at a free-walking cadence and at stepping frequencies of 78 and 120 steps/min, using detectors with 3- and 25-Hz cutoff frequencies simultaneously. The 3-Hz filtered EMG profiles proved to be smoother, to exhibit a significantly lower cycle-to-cycle variability, and to have a greater time lag with respect to the original unprocessed EMG signal than the 25-Hz filtered EMG profiles. The observed intersubject variability also was lower for the 3-Hz filtered EMG profiles than for the 25-Hz filtered EMG profiles. The results indicate that comparison of EMG profiles recorded with different detectors is difficult. A standard detector may solve this difficulty.

Adult↗
PubMed1989

Simultaneous measurement of surface EMG and movements for clinical use.

A system for simultaneous measurement of surface EMG, joint movement and temporal parameters of gait has been developed for clinical use. Some design constraints, imposed by the clinical situation, are indicated. Multiple cycles of movement are recorded and averaged patterns of muscle activation and joint movements are determined. Data processing runs concurrently with data acquisition, so that the results are available for clinical interpretation immediately after the measurement. Instrumentation, signal processing and software are described and some examples of application of the system for evaluation of therapies and functional aids are presented. It is proposed that clinically relevant quantitative information can be obtained by comparison of different recordings of the individual patient rather than comparison with patterns found with normal subjects.

Biomedical Engineering↗