What about the use of Wearable Sensors to assess Fall Risk in Neurological Disorders? A Systematic Review. (Preprint) DOI Creative Commons
Mirjam Bonanno, Augusto Ielo, Paolo De Pasquale

et al.

Published: Oct. 7, 2024

BACKGROUND The fall risk assessment, especially in neurological disorders, is essential to prevent hospitalization, hypomobility and reduced functional independence. Nowadays, the use of wearable sensors catching on field neurorehabilitation, as they allow an unsupervised providing continuous monitoring during daily tasks thus reflecting subject’s real risk. OBJECTIVE We systematically reviewed literature reliable biomechanical gait parameters detected with devices assess focusing Parkinson's disease, multiple sclerosis, post-stroke patients. Additionally, we examined latest advancements sensor technology, including best practices for device positioning data processing techniques. METHODS Our comprehensive systematic review search was conducted all peer-reviewed articles published up 31 December 2023, using following databases: PubMed, Web Science, Embase, IEEE Xplore, which are most used databases context health bioengineering field. RESULTS 16 included studies involved 2.465 patients, 189 patients MS (7 studies), 2.246 PD (9 30 stroke (2 studies). CONCLUSIONS This highlights role technologies assessing While showed variation methods a focus technology over clinical context, lack standardization reflects ongoing advancements, may be seen strength. CLINICALTRIAL PROSPERO registration ID: CRD42023463944

Language: Английский

Bioengineering of the Motor System DOI Creative Commons
C. Frigo

Bioengineering, Journal Year: 2025, Volume and Issue: 12(2), P. 199 - 199

Published: Feb. 18, 2025

About fifty years ago, which seems very recent, new technologies for motion analysis were being developed, promising a more detailed and precise study of the human motor system [...].

Language: Английский

Citations

0

A quantitative assessment of the hand kinematic features estimated by the oculus Quest 2 DOI Creative Commons
Daniele Borzelli,

Vittorio Boarini,

Antonino Casile

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 14, 2025

In the past decade, immersive virtual reality (VR) has garnered significant interest due to its capacity ability a strong sense of presence and allow users act in environments. particular, VR been increasingly used clinical settings present scenarios for motor rehabilitation purposes. Existing research efforts mostly focus on investigating effectiveness different routines. However, modern systems, addition presenting scenarios, also have hand motion tracking capabilities that could be potentially gather clinically relevant kinematic data from patients while they execute tasks. Here, we quantitatively assess capability movements popular system, Oculus Quest 2 by Meta, comparing measures with those provided commercial marker-based capture system. Our findings suggest provides reasonably reliable estimates position velocity. Estimates acceleration are noisier might sometime unsuitable assessments. Notably, accuracy varies across spatial directions. along left/right direction most accurate, followed up/down axis. near/far axis appear noisiest. Furthermore, found can provide fine-grained grip aperture, but precision these affected subject's head wearing results devices, inform medical decisions.

Language: Английский

Citations

0

Efficacy of a Virtual Reality Rehabilitation Protocol Based on Art Therapy in Patients with Stroke: A Single-Blind Randomized Controlled Trial DOI Creative Commons
Gaetano Tieri, Marco Iosa,

Antonio Fortini

et al.

Brain Sciences, Journal Year: 2024, Volume and Issue: 14(9), P. 863 - 863

Published: Aug. 27, 2024

Background: Art therapy has a long history of applications in cognitive and motor rehabilitation. More recently, growing body scientific literature highlighted the potential virtual reality neurorehabilitation, though it focused more on technology itself than principles adopted digital scenarios. Methods: This study is single-blind randomized controlled trial conducted 40 patients with stroke, comparing conventional (physical for upper lower limbs, posture balance, therapy, occupational speech specific swallowing, bowel, bladder dysfunctions) to protocol which limb physical was substituted art administered by means exploiting so-called Michelangelo effect. Results: After 12 sessions, group showed significantly greater improvement independence activities daily living, as assessed Barthel Index (interaction time group: p = 0.001). Significant differences were also found terms muscle strength (Manual Muscle Test, < 0.01) reduction spasticity (Ashworth scale, 0.007) favor experimental group. In group, effectiveness intervention correlated patient participation (Pittsburgh Rehabilitation Participation Scale: R 0.41), satisfaction (R 0.60), perceived utility therapist 0.43). Conclusions: These findings support efficacy leveraging Further studies should focus domains that could benefit from this type approach.

Language: Английский

Citations

1

What about the use of Wearable Sensors to assess Fall Risk in Neurological Disorders? A Systematic Review. (Preprint) DOI Creative Commons
Mirjam Bonanno, Augusto Ielo, Paolo De Pasquale

et al.

Published: Oct. 7, 2024

BACKGROUND The fall risk assessment, especially in neurological disorders, is essential to prevent hospitalization, hypomobility and reduced functional independence. Nowadays, the use of wearable sensors catching on field neurorehabilitation, as they allow an unsupervised providing continuous monitoring during daily tasks thus reflecting subject’s real risk. OBJECTIVE We systematically reviewed literature reliable biomechanical gait parameters detected with devices assess focusing Parkinson's disease, multiple sclerosis, post-stroke patients. Additionally, we examined latest advancements sensor technology, including best practices for device positioning data processing techniques. METHODS Our comprehensive systematic review search was conducted all peer-reviewed articles published up 31 December 2023, using following databases: PubMed, Web Science, Embase, IEEE Xplore, which are most used databases context health bioengineering field. RESULTS 16 included studies involved 2.465 patients, 189 patients MS (7 studies), 2.246 PD (9 30 stroke (2 studies). CONCLUSIONS This highlights role technologies assessing While showed variation methods a focus technology over clinical context, lack standardization reflects ongoing advancements, may be seen strength. CLINICALTRIAL PROSPERO registration ID: CRD42023463944

Language: Английский

Citations

0