A three-component model of the control error in manual tracking of continuous random signals.

OBJECTIVE: The performance of human operators acting within closed-loop control systems is investigated in a classic tracking task. The dependence of the control error (tracking error) on the parameters display gain, k(display), and input signal frequency bandwidth, f(g), which alter task difficulty and presumably the control delay, is studied with the aim of functionally specifying it via a model. BACKGROUND: The human operator as an element of a cascaded human-machine control system (e.g., car driving or piloting an airplane) codetermines the overall system performance. Control performance of humans in continuous tracking has been described in earlier studies. METHOD: Using a handheld joystick, 10 participants tracked continuous random input signals. The parameters f(g) and k(display) were altered between experiments. RESULTS: Increased task difficulty promoted lengthened control delay and, consequently, increased control error.Tracking performance degraded profoundly with target deflection components above 1 Hz, confirming earlier reports. CONCLUSION: The control error is composed of a delay-induced component, a demand-based component, and a novel component: a human tracking limit. Accordingly, a new model that allows concepts of the observed control error to be split into these three components is suggested. APPLICATION: To achieve optimal performance in control systems that include a human operator (e.g., vehicles, remote controlled rovers, crane control), (a) tasks should be kept as simple as possible to achieve shortest control delays, and (b) task components requiring higher-frequency (> 1 Hz) tracking actions should be avoided or automated by technical systems.

Dual-tasking: Is manual tapping independent of concurrently executed saccades?

Maintaining both spatial and temporal accuracy of concurrent motor actions is a challenging behavioral requirement in multi-tasking, where possible resource bottlenecks may become apparent when these units are shared between tasks. This study addresses the question of whether periodic self-paced finger movements (tapping) compulsorily interact with concurrently executed saccades, because they share some common neural control pathways. We employed a dual-task paradigm which was previously used to demonstrate strong interference between independent but concurrently conducted bimanual tapping tasks (Wachter, C., Cong, D.K., Staude, G., Wolf, W., 2008. Coordination of a discrete response with periodic finger tapping, additional experimental aspects for a subtle mechanism. J. Motor Behav. 40, 417-432). Instead of the discrete left hand response, the 13 participants now executed a single saccadic eye movement to a fixed visual target in parallel to continuous periodic tapping of the dominant hand. We expected these reactive saccades to act as a strong perturbation event to the continuous tapping, but the experimental data did not reveal a considerable interference in this specific oculo-manual dual-task experiment.

Coordination of a discrete response with periodic finger tapping: additional experimental aspects for a subtle mechanism.

The authors investigated the coordination of periodic right-hand tapping with single stimulus-evoked discrete lefthand taps to check for task interactions and a possible relationship between phase resetting (see tapping literature; e.g., J. Yamanishi, M. Kawato, & R. Suzuki, 1979) and phase entrainment (see tremor literature; e.g., R. J. Elble, C. Higgins, & L. Hughes, 1994). The experimental paradigm employs a dual-task condition as used by K. Yoshino, K. Takagi, T. Nomura, S. Sato, and M. Tonoike (2002), and it includes normal tapping and isometric tapping with the authors recording finger positions and ground contact forces. Four different types of coordination schemes were observed in tapping behavior: marginal tapping interaction (MTI), periodic tap retardation (PTR), periodic tap hastening (PTH), and discrete tap entrainment (DTE); MTI and PTR correspond to the phase-resetting effect for the coordination of periodic tapping with single discrete taps. The novel aspect of the study described in this article includes the impact of the periodic tapping on the discrete tap timing and the hastening of the periodic tapping due to the discrete tap behaviors resulting in a synchronized execution of the two concurrent tapping tasks. All participants showed a dominant tapping behavior, but they all used the other nondominant forms of the four reported coordination schemes in some trials too, which reflects possible constraints of the sensorimotor system in handling two competing tasks.

A method for locating gradual changes in time series.

A variation to the change-point problem is addressed. The classical problem involves locating abrupt changes in the mean value of a signal. In contrast, a generalisation to gradual changes with constant speed is considered, which frequently occurs in biomedical signal-processing tasks. Formulas are derived that are easy to adopt by application scientists. The estimation quality is investigated theoretically and using Monte Carlo simulations. Results show that the change-point estimates were close to their true values. In contrast, a systematic error of approximately half the change duration occurred when the gradual nature of the signal was neglected.

Steps towards a miniaturized, robust and autonomous measurement device for the long-term monitoring of patient activity: ActiBelt.

We describe the first steps in the development of a wearable measurement device for measuring a subject's three-dimensional acceleration. The ultimate aim is a standard measurement instrument integrated in a belt buckle that allows objective evaluation of treatment and rehabilitation measures in patients, in particular for disabling chronic diseases such as multiple sclerosis. In a first step we combined standard hardware elements to record test data from healthy volunteers. We then developed algorithms to automatically distinguish between different stages of activity, such as jogging, walking, lying, standing and sitting, and to detect and count steps. Distinction between standing and sitting is the most difficult to accomplish. As a first validation, we calculated the distance traveled from data of 17 experiments and a total of 4.5 h, for which one proband was walking and running for a known distance, and compared the results with two commercially available pedometers. We could show that the relative error for the ActiBelt is only half of that for the two pedometers. Apart from developing much smaller, robust and integrated hardware, we describe ideas on how to develop algorithms that allow extraction of a "baseline step pattern" in analogy to baseline ECG to define and detect clinically relevant deviations.

Motor timing and more--additional options using advanced registration and evaluation of tapping data.

Motor coordination in multi-tasking situations is relevant to everyday life, since numerous daily activities require the performance of more than one task simultaneously. Investigations into this topic often use dual-task experiments like bimanual tapping, with different instructions for the right and left hands, such as to tap repetitively with the right index finger at a given frequency and to concurrently execute a single tap in response to a go signal with the left index finger. A basic experimental set-up for tapping consists of only a pace signal generator and ground contact sensors such as micro switches for observation of motor action. Evaluation of the binary on-off signals provided by these switches is quite simple, but the amount of information obtained is also limited. This paper presents a novel experimental design for tapping experiments with high-resolution recording of the complete time course of continuous finger movements. The evaluation procedures required for biomechanical and EMG data are described. The latter are based on sophisticated maximum-likelihood techniques, which is an example of progress in research using advanced biosignal processing.

Comparative study of event-synchronous interference cancelling methods.

In case of a periodic disturbing signal as a "noise", special solutions for noise reduction can be applied. In literature, an adaptive noise canceller modification was proposed for this case by Strobach et al. [5] and applied by several other researchers. It uses an artificial reference signal, based on event triggered averaging of segments of the recorded wanted (but disturbed) signal in order to obtain a template for the repetitive distortion sequence which is used to construct the artificial reference signal. The simple subtraction and the adaptively modified template subtraction are also used, with better performance, to remove the repetitive noise component. Methods are basically introduced in simulations, and then demonstrated in real biosignal processing, considering the case of removing the disturbing maternal ECG from abdominal signals of pregnant women in order to get the fetal ECG for diagnosis purposes.