Deans' stroke musings: Quantitative Analysis of Motor Synergies and Assessment of Upper-limb Motor Function for Post-stroke Rehabilitation Based on Multi-modal Data Fusion

Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Thursday, December 26, 2019

Quantitative Analysis of Motor Synergies and Assessment of Upper-limb Motor Function for Post-stroke Rehabilitation Based on Multi-modal Data Fusion

I really hate assessment stroke research. Because there are NO stroke rehab protocols to use once you have been assessed. You describe a problem, but offer NO solutions. Solutions, NOT guidelines.

Quantitative Analysis of Motor Synergies and Assessment of Upper-limb Motor Function for Post-stroke Rehabilitation Based on Multi-modal Data Fusion

Chen Wang1,2, Liang Peng1, Jingyue Li4, Zeng-Guang Hou*1,2,3, and Weiqun Wang1
1 State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; 2 University of Chinese Academy of Sciences, Beijing 100149, China; 3 CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing 100190, China; 4 China Rehabilitation Research Center, Beijing Bo’ai Hospital, Beijing 100068, China. {wangchen2016,liang.peng,zengguang.hou,weiqun.wang}@ia.ac.cn, lijingyue87@126.com

Abstract.

Upper limb functional assessment plays an important role in rehabilitation protocols after stroke.(Where the fuck are these protocols?) The current assessment process is labour-intensive and relies heavily on clinical experience. In order to objectively quantify the upper-limb motor impairments in post-stroke hemiparetic patients, this study proposes a novel assessment method capable of fusing kinematic data and surface electromyography (sEMG) signals. During goal-directed movements, multi-modal data were collected synchronously, and the intra-channel statistical features were served as the inputs of diﬀerent single-modality classiﬁers. In addition, inter-channel synergies were quantiﬁed at the kinematic and muscular levels. Then, the outputs of single-modality classiﬁers and synergy quantiﬁcation were integrated by a multi-modal fusion scheme, and three types of machine learning algorithms were tested in the assessment framework. Experimental results demonstrated the classiﬁcation accuracy was improved to 94.4% by integrating the intra-channel and inter-channel characteristics from diﬀerent modalities, and the assessment output exhibited a high consistency with the score of Fugl-Meyer Assessment (FMA). The promising performance suggests that the proposed method has the potential to evaluate the eﬀectiveness of post-stroke rehabilitation.