scholarly journals Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e041303
Author(s):  
Catherine Morgan ◽  
Ian Craddock ◽  
Emma L Tonkin ◽  
Kirsi M Kinnunen ◽  
Roisin McNaney ◽  
...  

IntroductionThe impact of disease-modifying agents on disease progression in Parkinson’s disease is largely assessed in clinical trials using clinical rating scales. These scales have drawbacks in terms of their ability to capture the fluctuating nature of symptoms while living in a naturalistic environment. The SPHERE (Sensor Platform for HEalthcare in a Residential Environment) project has designed a multi-sensor platform with multimodal devices designed to allow continuous, relatively inexpensive, unobtrusive sensing of motor, non-motor and activities of daily living metrics in a home or a home-like environment. The aim of this study is to evaluate how the SPHERE technology can measure aspects of Parkinson’s disease.Methods and analysisThis is a small-scale feasibility and acceptability study during which 12 pairs of participants (comprising a person with Parkinson’s and a healthy control participant) will stay and live freely for 5 days in a home-like environment embedded with SPHERE technology including environmental, appliance monitoring, wrist-worn accelerometry and camera sensors. These data will be collected alongside clinical rating scales, participant diary entries and expert clinician annotations of colour video images. Machine learning will be used to look for a signal to discriminate between Parkinson’s disease and control, and between Parkinson’s disease symptoms ‘on’ and ‘off’ medications. Additional outcome measures including bradykinesia, activity level, sleep parameters and some activities of daily living will be explored. Acceptability of the technology will be evaluated qualitatively using semi-structured interviews.Ethics and disseminationEthical approval has been given to commence this study; the results will be disseminated as widely as appropriate.

2021 ◽  
Vol 57 (2) ◽  
pp. 177-183
Author(s):  
Seong Hyun Moon ◽  
◽  
Rahul Soangra ◽  
Christopher F. Frames ◽  
Thurmon E. Lockhart ◽  
...  

Parkinson’s Disease (PD) is a neurodegenerative disorder affecting the substantia nigra, which leads to more than half of PD patients are considered to be at high risk of falling. Recently, Inertial Measurement Unit (IMU) sensors have shown great promise in the classification of activities of daily living (ADL) such as walking, standing, sitting, and laying down, considered to be normal movement in daily life. Measuring physical activity level from longitudinal ADL monitoring among PD patients could provide insights into their fall mechanisms. In this study, six PD patients (mean age=74.3±6.5 years) and six young healthy subjects (mean age=19.7±2.7 years) were recruited. All the subjects were asked to wear the single accelerometer, DynaPort MM+ (Motion Monitor+, McRoberts BV, The Hague, Netherlands), with a sampling frequency of 100 Hz located at the L5-S1 spinal area for 3 days. Subjects maintained a log of activities they performed and only removed the sensor while showering or performing other aquatic activities. The resultant acceleration was filtered using high and low pass Butterworth filters to determine dynamic and stationary activities. As a result, it was found that healthy young subjects performed significantly more dynamic activities (13.2%) when compared to PD subjects (7%), in contrast, PD subjects (92.9%) had significantly more stationary activities than young healthy subjects (86.8%).


2019 ◽  
Vol 19 (7) ◽  
pp. 1022-1031 ◽  
Author(s):  
Paula D. Cebrián ◽  
Omar Cauli

Background: Many neurological disorders lead to institutionalization and can be accompanied in their advanced stages by functional impairment, and progressive loss of mobility, and cognitive alterations. Objective: We analyzed the relationship between functional impairment and cognitive performance and its related subdomains in individuals with Parkinson’s disease, Alzheimer’s disease accompanied by motor dysfunction, and with other neurological disorders characterized by both motor and cognitive problems. Methods: All participants lived in nursing homes (Valencia, Spain) and underwent cognitive evaluation with the Mini-Mental State Examination; functional assessment of independence in activities of daily living using the Barthel score and Katz index; and assessment of mobility with the elderly mobility scale. Results: The mean age of the subjects was 82.8 ± 0.6 years, 47% of the sample included individuals with Parkinson’s disease, and 48 % of the sample presented severe cognitive impairment. Direct significant relationships were found between the level of cognitive impairment and functional capacity (p < 0.01) and mobility (p < 0.05). Among the different domains, memory impairment was not associated with altered activities of daily living or mobility. The functional impairment and the risk of severe cognitive impairment were significantly (p<0.05) higher in female compared to male patients. Among comorbidities, overweight/obesity and diabetes were significantly (p < 0.05) associated with poor cognitive performance in those individuals with mild/moderate cognitive impairment. Conclusion: In institutionalized individuals with movement disorders there is an association between functional and cognitive impairment. Reduction of over-weight and proper control of diabetes may represent novel targets for improving cognitive function at such early stages.


2008 ◽  
Vol 23 (3) ◽  
pp. 253-261 ◽  
Author(s):  
Tammy Hoffmann ◽  
Trevor Russell ◽  
Leah Thompson ◽  
Amy Vincent ◽  
Mark Nelson

2021 ◽  
pp. 026921552199517
Author(s):  
Runze Li ◽  
Yanran Zhang ◽  
Yunxia Jiang ◽  
Mengyao Wang ◽  
Wei How Darryl Ang ◽  
...  

Objective: To examine the effectiveness of rehabilitation training based on virtual reality in improving balance, quality of life, activities of daily living, and depressive symptoms of patients with Parkinson’s disease. Data sources: PubMed, EMBASE, CINAHL, Scopus, Cochrane Library, PsycINFO, ProQuest, Physiotherapy Evidence Database, IEEE Xplore, China National Knowledge Infrastructure, Wanfang, and VIP Information databases were searched from their inception to October 15, 2020. Trial registries, gray literature, and target journals were also searched. Methods: Eligible randomized controlled trials included studies with patients with Parkinson’s disease in rehabilitation training based on virtual reality. Comprehensive Meta-Analysis 3.0 software was used. Physiotherapy Evidence Database Scale and the Grading of Recommendation, Assessment, Development, and Evaluation system were used to assess the methodological quality of individual trials and the overall quality of the evidence, respectively. Results: A total of 22 randomized controlled trials with 836 patients were included. Meta-analysis revealed that training significantly improved balance ( g = 0.66, P < 0.001), quality of life ( g = 0.28, P = 0.015), activities of daily living ( g = 0.62, P < 0.001), and depressive symptoms ( g = 0.67, P = 0.021) compared to the control group. Subgroup analysis indicated that training should utilize video game consoles. Meta-regression analyses showed that age, sessions, and frequency of training had statistically significant impacts on balance scores. Quality of individual trials was high and overall evidence ranged from very low to low. Conclusion: Virtual rehabilitation training could be adopted in healthcare institutions as supplementary training for patients with Parkinson’s disease.


2011 ◽  
Vol 17 (05) ◽  
pp. 841-852 ◽  
Author(s):  
Daniel R. Seichepine ◽  
Sandy Neargarder ◽  
Ivy N. Miller ◽  
Tatiana M. Riedel ◽  
Grover C. Gilmore ◽  
...  

2009 ◽  
Vol 15 ◽  
pp. S140
Author(s):  
D. Seichepine ◽  
M. Díaz-Santos ◽  
S. Neargarder ◽  
K.D. Sullivan ◽  
A. Cronin-Golomb

2020 ◽  
Vol 79 ◽  
pp. e47-e48
Author(s):  
S.A. Castillo Torres ◽  
D.G. Martínez-Roque ◽  
J. Duarte-Bravo ◽  
C.A. Soto-Rincón ◽  
F. Flores-Alfaro ◽  
...  

2013 ◽  
Vol 35 (9) ◽  
pp. 926-933 ◽  
Author(s):  
Eva Pirogovsky ◽  
Mercedes Martinez-Hannon ◽  
Dawn M. Schiehser ◽  
Stephanie L. Lessig ◽  
David D. Song ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document