Biomedical subjects

R Mikut

Publications and source records attributed to R Mikut.

3 recordsLinked to original sources

PubMed2003

Postacute management of patients with spinal cord injury due to metastatic tumour disease: survival and efficacy of rehabilitation.

STUDY DESIGN: Retrospective study utilising clinical records and public administration databases. OBJECTIVES: This study was performed to analyse the clinical presentation and survival rate of individuals with spinal cord injury (SCI) due to spinal metastasis after primary treatment, and to evaluate the efficacy of rehabilitative efforts. SETTING: Spinal Cord Injury Unit, University Hospital, Heidelberg. METHODS: A total of 68 consecutive patients were included. Demographics, clinical data, tumour type, level and completeness of SCI, initial treatment, functional independence measure (FIM) and survival time were derived from hospital and public administration databases. Cox regression and fuzzy logic rule generation were used for statistical analysis. RESULTS: Of the 68 patients, 66 patients died 11 months (median, interquartile range (IQR) 4-29 months) after the onset of neurological symptoms at an average age of 58 years. The functional independence measure (FIM) score describing the general clinical and functional status proved to be the most reliable prognostic factor of survival. Other more specific parameters (eg tumour type or level of lesion) did not have such an impact. In total, 51 patients completed the rehabilitation programme within 50 days (median, IQR 27-99 days). The FIM score improved from 62 at admission to 84 at discharge. CONCLUSION: The clinical and functional status is a valuable prognostic factor for survival. Since institutionalised rehabilitative efforts are effective, this group of patients should be accepted into such a program.

Adolescent↗

PubMed2002

[A modular method for automated evaluation of gait analysis data].

A modular methodology for automated gait data evaluation: The aim of Instrumented Gait Analysis is to measure data such as joint kinematics or kinetics during gait in a quantitative way. The data evaluation for clinical purposes is often performed by experienced physicians (diagnosis of specific motion dysfunction, planning and validation of therapy). Due to subjective evaluation and complexity of the pathologies, there exists no objective, standardized data analysis method for these tasks. This article covers the development of a modular, computer-based methodology to quantify the degree of pathological gait in comparison to normal behavior, as well as to automatically search for interpretable gait abnormalities and to visualize the results. The outcomes are demonstrated with two different patient groups.

Biomechanical Phenomena↗

PubMed2002

[Expanding control possibilities of myoelectric hand prostheses].

Raising control possibilities of myoelectric prostheses--The control of hand prostheses is based on the surface scan of myoelectric voltage caused by muscle contractions in an amputees arm stump. So far available prostheses only perform up to two different grip types. This paper introduces a control scheme that is able to execute a variety of grip types dependent on the patient's control signals. Therefore a platform is presented to adapt control parameters especially to the patients anatomy. Developed algorithms are flashed on a microcontroller, processing data online and controlling a new generation of prostheses (FZK-prosthesis, Forschungszentrum Karlsruhe).

Amputation Stumps↗