Biomedical subjects

Timo Tossavainen

Publications and source records attributed to Timo Tossavainen.

9 recordsLinked to original sources

PubMed2006

Effect of styrene on postural stability among reinforced plastic boat plant workers in Finland.

OBJECTIVE: Many drugs are vestibulotoxic and may impair balance. Styrene is both ototoxic and neurotoxic, but its effect on balance has been little studied. We evaluate the effect of low concentrations of styrene on balance among Finnish fiberglass-reinforced plastic boat manufacturers. METHODS: From 252 male employees, we measured postural stability and urine mandelic and phenylglycolic acid concentrations. Individual exposure to styrene in breathing zone was measured for 148 workers. For analysis, 88 matched pairs were selected. RESULTS: The postural stability of laminators was aggravated compared with nonlaminators. This impairment was observed in young workers, and it worsened with age. CONCLUSIONS: This study documents styrene as an additional risk factor in impaired postural stability, with the negative effects of the styrene exposure starting already in younger workers.

Adolescent↗

PubMed2006

Virtual reality in posturography.

Balance dysfunctions are common, especially among elderly people. Present methods for the diagnosis and evaluation of severity of dysfuntion have limited value. We present a system that makes it easy to implement different visual and mechanical perturbations for clinical investigations of balance and visual-vestibular interaction. The system combines virtual reality visual stimulation with force platform posturography on a moving platform. We evaluate our contruction's utility in a classification task between 33 healthy controls and 77 patients with Ménière's disease, using a series of tests with different visual and mechanical stimuli. Responses of patients and controls differ significantly in parameters computed from stabilograms. We also show that the series of tests achieves a classification accuracy slightly over 80% between controls and patients.

Artificial Intelligence↗

PubMed2004

Influence of lossy compression on eye movement signals.

Eye movements considered in our research are physiological signals that are measured in otoneurological balance tests. They are also investigated in other areas of medicine and in psychology. When great amounts of signals are measured in clinical and research work, signal compression is of great use in storing measurements for later investigations. In this research we assessed the influence of lossy compression on medically interesting parameter values that are computed from eye movement signals. We found that high compression ratios with bit rates lower than 1.5 bits per sample on signals with an original resolution of 13 bits per sample produced results without significant changes to the medical parameters values.

Data Compression↗

PubMed2004

Comparison of CAVE and HMD for visual stimulation in postural control research.

The control of balance of 20 healthy subjects under visual stimulation was quantitavely evaluated using a force platform. Three different visual stimuli were administered using a head-mounted display and CAVE. CAVE was significantly more effective in perturbing balance in one stimulus and HMD was significantly more effective in another.

Adult↗

PubMed2003

Lossy compression of eye movement and auditory brainstem response signals.

Eye movement and auditory brainstem response signals recorded for balance and hearing investigations were used as a medical test battery for several types of lossy compression techniques. These signals are associated with the function of the ears. The former signals are used to assess the balance problems (especially vertigo) of a subject and the latter his or her hearing problems. New technique is also presented based on successive approximation quantization. The effect of information loss on medical parameters computed from the signals in the course of compression was evaluated for brainstem response signals. It is important to ensure that lossy compression techniques of these biomedical signals do not impair medical parameter values computed from the signals.

Algorithms↗

PubMed2003

Development of virtual reality stimuli for force platform posturography.

People relying much on vision in the control of posture are known to have an elevated risk of falling. Dependence on visual control is an important parameter in the diagnosis of balance disorders. We have previously shown that virtual reality (VR) methods can be used to produce visual stimuli that affect balance, but suitable stimuli need to be found. In this study, the effect of six different VR stimuli on the balance of 22 healthy test subjects was evaluated using force platform posturography. We report in more detail and expand the results published earlier. According to the tests two of the stimuli have a significant destabilizing effect on balance. In addition a significant displacement effect on the subject's center of pressure (COP) was found. Thus it is shown that the design of VR stimuli to cause different effects on the control of balance is possible.

Adult↗

PubMed2002

Lossless compression of otoneurological eye movement signals.

We studied the performance of several lossless compression algorithms on eye movement signals recorded in otoneurological balance and other physiological laboratories. Despite the wide use of these signals their compression has not been studied prior to our research. The compression methods were based on the common model of using a predictor to decorrelate the input and using an entropy coder to encode the residual. We found that these eye movement signals recorded at 400 Hz and with 13 bit amplitude resolution could losslessly be compressed with a compression ratio of about 2.7.

Algorithms↗

PubMed2002

Virtual reality stimuli for force platform posturography.

Adult↗

PubMedDate not supplied

On lossy transform compression of ECG signals with reference to deformation of their parameter values.

Electrocardiogram (ECG) signals are the most prominent biomedical signal type used in clinical medicine. Their compression is important and widely researched in the medical informatics community. In the previous literature compression efficacy has been investigated only in the context of how much known or developed methods reduced the storage required by compressed forms of original ECG signals. Sometimes statistical signal evaluations based on, for example, root mean square error were studied. In previous research we developed a refined method for signal compression and tested it jointly with several known techniques for other biomedical signals. Our method of so-called successive approximation quantization used with wavelets was one of the most successful in those tests. In this paper, we studied to what extent these lossy compression methods altered values of medical parameters (medical information) computed from signals. Since the methods are lossy, some information is lost due to the compression when a high enough compression ratio is reached. We found that ECG signals sampled at 400 Hz could be compressed to one fourth of their original storage space, but the values of their medical parameters changed less than 5% due to compression, which indicates reliable results.

Algorithms↗