![]() (2016) proposed an algorithm to decide the techniques and tools the physical therapist should choose to provide a high quality treatment to acute stroke patients. Many criteria have been proposed to address the subjects to the most suitable approach. Such issue is of great interest and still far from being successfully exploited. The need of assessing patients’ clustering based on impairment is discussed in the literature ( Baldassarre et al., 2016). For this reason, patients should be evaluated and categorized when possible before the therapy to ensure the clinician with a wide, detailed and deep characterization of the motor capabilities of the patient to be treated. A recent state-of-the-art review on rehabilitation ( Krebs and Volpe, 2015) concludes with the following sentence: “Ultimately the goal should be determining how best to customize the treatment protocol to meet each individual patient’s needs.” In order to maximize the gains inducted by rehabilitation, patients should undergo a customized treatment protocol tailored on specific criteria that would assure the highest probability of success, depending on their clinical status. A wide variety of pathologies and symptoms can lead to partial or complete disability, which influences people life up to preventing self-autonomy. Neurological diseases are one of the main sources of disability, especially in Western countries. Such technique may affect several aspects of the therapy: prediction of outcomes, evaluation of the treatments, customization of doses, and therapies. Each cluster was provided with a deep characterization and correlation with clinical scales, range of motion, and smoothness.Ĭonclusion: The clustering of muscle synergies enabled a pretherapy characterization of patients. Five basic clusters were identified as a trade-off between clustering precision and synthesis power, representing: healthy-like activations, two shoulder compensatory strategies, two elbow predominance patterns. Results: Motor synergies were successfully extracted on all 22 patients. Consistency and characterization of each cluster was assessed and clinically profiled by comparison with standard motor assessments. ![]() Patients’ motor synergies were grouped by the means of cluster analysis. They were assessed through an instrumental assessment, by recording kinematics and electromyography to extract muscle synergies and their activation commands. Methods: Twenty-two poststroke patients performed a session composed of a sequence of 3D reaching movements. ![]() In this article, the synergy analysis was used to characterize a group of chronic poststroke hemiplegic patients. Few studies investigated the value of muscle synergies for the characterization of neurological patients before rehabilitation therapies. The muscle synergies analysis was designed to investigate how muscles coactivate and how their eliciting commands change in time during movement production. 2Rehabilitation Presidium of Valduce Ospedale Villa Beretta, Lecco, Italyīackground: A deep characterization of neurological patients is a crucial step for a detailed knowledge of the pathology and maximal exploitation and customization of the rehabilitation therapy.1Institute of Industrial Technologies and Automation (ITIA), Italian National Research Council (CNR), Milan, Italy.J Physiol 556(Pt 1):267–282ĭ’Avella A, Portone A, Fernandez L, Lacquaniti F (2006) Control of fast-reaching movements by muscle synergy combinations.Lorenzo Molinari Tosatti 1 and Franco Molteni 2 Ivanenko YP, Poppele RE, Lacquaniti F (2004) Five basic muscle activation patterns account for muscle activity during human locomotion. Krishnamoorthy V, Goodman S, Zatsiorsky V, Latash ML (2003) Muscle synergies during shifts of the center of pressure by standing persons: identification of muscle modes. Torres-Oviedo G, Macpherson JM, Ting LH (2006) Muscle synergy organization is robust across a variety of postural perturbations. Hart CB, Giszter SF (2004) Modular premotor drives and unit bursts as primitives for frog motor behaviors. Tresch MC, Saltiel P, Bizzi E (1999) The construction of movement by the spinal cord. Cereb Cortex 17(4):803–815ĭ’Avella A, Saltiel P, Bizzi E (2003) Combinations of muscle synergies in the construction of a natural motor behavior. ![]() Klein Breteler MD, Simura KJ, Flanders M (2007) Timing of muscle activation in a hand movement sequence. Tresch MC, Cheung VC, d’Avella A (2006) Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. ![]()
0 Comments
Leave a Reply. |