Technical validation of real-world monitoring of gait: a multicentric observational study

被引:46
|
作者
Mazza, Claudia [1 ,2 ]
Alcock, Lisa [3 ]
Aminian, Kamiar [4 ]
Becker, Clemens [5 ]
Bertuletti, Stefano [6 ]
Bonci, Tecla [1 ,2 ]
Brown, Philip [7 ]
Brozgol, Marina [8 ]
Buckley, Ellen [1 ,2 ]
Carsin, Anne-Elie [9 ,10 ,11 ,12 ]
Caruso, Marco [13 ,14 ]
Caulfield, Brian [15 ,16 ]
Cereatti, Andrea [13 ]
Chiari, Lorenzo [17 ,18 ]
Chynkiamis, Nikolaos [19 ]
Ciravegna, Fabio [1 ,20 ]
Del Din, Silvia [3 ]
Eskofier, Bjorn [21 ]
Evers, Jordi [22 ]
Aymerich, Judith Garcia [9 ,10 ,11 ]
Gazit, Eran [8 ]
Hansen, Clint [23 ]
Hausdorff, Jeffrey M. [8 ,24 ,25 ]
Helbostad, Jorunn L. [26 ]
Hiden, Hugo [27 ]
Hume, Emily [19 ]
Paraschiv-Ionescu, Anisoara [4 ]
Ireson, Neil [1 ,20 ]
Keogh, Alison [15 ,16 ]
Kirk, Cameron [3 ]
Kluge, Felix [21 ]
Koch, Sarah [9 ,10 ,11 ]
Kuderle, Arne [21 ]
Lanfranchi, Vitaveska [1 ,20 ]
Maetzler, Walter [23 ]
Mico-Amigo, M. Encarna [3 ]
Mueller, Arne [28 ]
Neatrour, Isabel [3 ]
Niessen, Martijn [22 ]
Palmerini, Luca [17 ,18 ]
Pluimgraaff, Lucas [22 ]
Reggi, Luca [18 ]
Salis, Francesca [6 ]
Schwickert, Lars [5 ]
Scott, Kirsty [1 ,2 ]
Sharrack, Basil [29 ,30 ]
Sillen, Henrik [31 ]
Singleton, David [15 ,16 ]
Soltani, Abolfazi [4 ]
Taraldsen, Kristin [26 ]
机构
[1] Univ Sheffield, INSIGNE Inst Silico Med, Sheffield, S Yorkshire, England
[2] Univ Sheffield, Dept Mech Engn, Sheffield, S Yorkshire, England
[3] Newcastle Univ, Fac Med Sci, Translat & Clin Res Inst, Newcastle Upon Tyne, Tyne & Wear, England
[4] Ecole Polytech Fed Lausanne, Lab Movement Anal & Measurement, Lausanne, Switzerland
[5] Robert Bosch Gesell Med Forsch, Stuttgart, Germany
[6] Univ Sassari, Dept Biomed Sci, Sassari, Sardegna, Italy
[7] Newcastle Upon Tyne Hosp NHS Fdn Trust, Newcastle Upon Tyne, Tyne & Wear, England
[8] Tel Aviv Sourasky Med Ctr, Neurol Inst, Ctr Study Movement Cognit & Mobil, Tel Aviv, Israel
[9] ISGlobal, Barcelona, Spain
[10] Univ Pompeu Fabra UPF, Barcelona, Spain
[11] CIBER Epidemiol & Salud Publ CIBERESP, Madrid, Spain
[12] IMIM Hosp Mar Med Res Inst, Barcelona, Spain
[13] Politecn Torino, Dipartimento Elettron & Telecomunicaz, Turin, Italy
[14] Politecn Torino, PolitoBIOMed Lab, Biomed Engn Lab, Turin, Italy
[15] Univ Coll Dublin, Insight Ctr Data Analyt, OBrien Sci Ctr, Dublin, Ireland
[16] Univ Coll Dublin, UCD Sch Publ Hlth Physiotherapy & Sports Sci, Dublin, Ireland
[17] Univ Bologna, Dept Elect Elect & Informat Engn Guglielmo Marcon, Bologna, Italy
[18] Univ Bologna, Hlth Sci & Technol Interdept Ctr Ind Res CIRI SDV, Bologna, Italy
[19] Northumbria Univ Newcastle, Dept Sport Exercise & Rehabil, Newcastle Upon Tyne, Tyne & Wear, England
[20] Univ Sheffield, Dept Comp Sci, Sheffield, S Yorkshire, England
[21] Friedrich Alexander Univ Erlangen Nurnberg, Machine Learning & Data Analyt Lab, Dept Artificial Intelligence Biomed Engn, Erlangen, Germany
[22] McRoberts, The Hague, Zuid Holland, Netherlands
[23] Univ Med Ctr Schleswig Holstein, Dept Neurol, Campus Kiel, Kiel, Germany
[24] Tel Aviv Univ, Dept Phys Therapy, Sackler Fac Med, Tel Aviv, Israel
[25] Tel Aviv Univ, Sagol Sch Neurosci, Tel Aviv, Israel
[26] Norwegian Univ Sci & Technol, Dept Neuromed & Movement Sci, Trondheim, Norway
[27] Newcastle Univ, Sch Comp, Newcastle Upon Tyne, Tyne & Wear, England
[28] Novartis Pharma AG, Novartis Inst Biomed Res, Basel, Switzerland
[29] Sheffield Teaching Hosp NHS Fdn Trust, Dept Neurosci, Sheffield, S Yorkshire, England
[30] Sheffield Teaching Hosp NHS Fdn Trust, Sheffield NIHR Translat Neurosci BRC, Sheffield, S Yorkshire, England
[31] AstraZeneca Sweden, Digital Hlth R&D, Sodertalje, Sweden
来源
BMJ OPEN | 2021年 / 11卷 / 12期
基金
英国惠康基金;
关键词
multiple sclerosis; parkinson-s disease; hip; chronic airways disease; heart failure; LATE-LIFE FUNCTION; DISABILITY INSTRUMENT; CALIBRATION; SPEED;
D O I
10.1136/bmjopen-2021-050785
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitations by quantifying digital mobility outcomes (DMOs) both during supervised structured assessments and in real-world conditions. The validity of IMU-based methods in the real-world, however, is still limited in patient populations. Rigorous validation procedures should cover the device metrological verification, the validation of the algorithms for the DMOs computation specifically for the population of interest and in daily life situations, and the users' perspective on the device. Methods and analysis This protocol was designed to establish the technical validity and patient acceptability of the approach used to quantify digital mobility in the real world by Mobilise-D, a consortium funded by the European Union (EU) as part of the Innovative Medicine Initiative, aiming at fostering regulatory approval and clinical adoption of DMOs. After defining the procedures for the metrological verification of an IMU-based device, the experimental procedures for the validation of algorithms used to calculate the DMOs are presented. These include laboratory and real-world assessment in 120 participants from five groups: healthy older adults; chronic obstructive pulmonary disease, Parkinson's disease, multiple sclerosis, proximal femoral fracture and congestive heart failure. DMOs extracted from the monitoring device will be compared with those from different reference systems, chosen according to the contexts of observation. Questionnaires and interviews will evaluate the users' perspective on the deployed technology and relevance of the mobility assessment. Ethics and dissemination The study has been granted ethics approval by the centre's committees (London-Bloomsbury Research Ethics committee; Helsinki Committee, Tel Aviv Sourasky Medical Centre; Medical Faculties of The University of Tubingen and of the University of Kiel). Data and algorithms will be made publicly available.
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页数:14
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