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Rui Hu, Bruno Michel, Dario Russo, Niccolò Mora, Guido Matrella, Paolo Ciampolini, Francesca Cocchi, Enrico Montanari, Stefano Nunziata and Thomas Brunschwiler
Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data through a...
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Ae Ryoung Kim and Yang-Soo Lee
This study illustrates that the use of a sliding rehabilitation machine (SRM) for early intensive muscle strengthening is applicable to patients who have had a stroke with severe cognitive dysfunction and demonstrates that the SRM is safe when used as pa...
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Michael William Pugliese,Kumanan Wilson,Julien Guerinet,Katherine M Atkinson,Karen H Mallet,Rany Shamloul,Lise Zakutney,Dale Corbett,Dar Dowlatshahi
Pág. pp. 148 - 157
Mobile health (mHealth) technology represents a means through which more stroke survivors could access early stroke rehabilitation. Although rehabilitation is most effective when begun early post-stroke, limited resources (facilities, therapists) prevent...
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Achmad Alfian Hidayat, Zainal Arief, Dedid Cahya Happyanto
Pág. 60 - 76
LOVETT scale is a common parameter used by the doctor or therapist to determine the muscle strength of the patientâ??s hands, especially patients with post-stroke. As a result of previous work of our group, a sensory glove for monitoring finger muscle th...
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