Nocturnal Sensing and Intervention for Assisted Living of People with Dementia

McCullagh, Paul; Carswell, William; Mulvenna, Maurice; Augusto, Juan Carlos; Zheng, Huiru; Jeffers, W. Paul

doi:10.1201/b11195-11

Cited by 13 publications

(6 citation statements)

References 1 publication

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“…This raises the possibility of using the BRAIN test to monitor motor fluctuations and to assist with therapeutic decision‐making. Currently, decisions made clinically regarding the efficacy of treatment depend on clinical examination, records of timing of medication, and patient's subjective reporting of symptoms and ability to perform activities of daily living on self‐scoring diaries . The identification of symptoms through history taking is affected by recall bias together with the difficulty experienced by many patients in differentiating between normal, dyskinetic, and bradykinetic states …”

Section: Discussionmentioning

confidence: 99%

The BRadykinesia Akinesia INcoordination (BRAIN) Tap Test: Capturing the Sequence Effect

Hasan

Burrows

Hellman³

et al. 2019

Movement Disord Clin Pract

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Background The BRadykinesia Akinesia INcoordination (BRAIN) tap test is an online keyboard tapping task that has been previously validated to assess upper limb motor function in Parkinson's disease (PD). Objectives To develop a new parameter that detects a sequence effect and to reliably distinguish between PD patients on and off medication. In addition, we sought to validate a mobile version of the test for use on smartphones and tablet devices. Methods The BRAIN test scores in 61 patients with PD and 93 healthy controls were compared. A range of established parameters captured number and accuracy of alternate taps. The new velocity score recorded the intertap speed. Decrement in the velocity score was used as a marker for the sequence effect. In the validation phase, 19 PD patients and 19 controls were tested using different hardware including mobile devices. Results Quantified slopes from the velocity score demonstrated bradykinesia (sequence effect) in PD patients (slope cut‐off −0.002) with 58% sensitivity and 81% specificity (discovery phase of the study) and 65% sensitivity and 88% specificity (validation phase). All BRAIN test parameters differentiated between on and off medication states in PD. Differentiation between PD patients and controls was possible on all hardware versions of the test. Conclusion The BRAIN tap test is a simple, user‐friendly, and free‐to‐use tool for the assessment of upper limb motor dysfunction in PD, which now includes a measure of bradykinesia.

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Section: Discussionmentioning

confidence: 99%

The BRadykinesia Akinesia INcoordination (BRAIN) Tap Test: Capturing the Sequence Effect

Hasan

Burrows

Hellman³

et al. 2019

Movement Disord Clin Pract

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“…This supports the current research idea to provide assistance during the day and provide feedback assistance based on night time events and activities. AALFI complements the research carried out by the successful completion of the NOCTURNAL project [38] were night time assistance was provided to subjects with dementia. The difficulties that an older person may face during the night and the importance of night time events and activities are further discussed in [45] were they review research relating to night time assistance for an older person with dementia and the types of assistance that they may require including guidance to different locations using lights, playing calming music to assist with restlessness and determining why an older person may be awake.…”

Section: Evaluation 3 Results: Questionnairementioning

confidence: 99%

“…The last research project that has been considered is NOCTURNAL [38], a multi-agent system that provides assistance and support to older people during night through a bedside touchscreen interface [43] and does not provide assistance in any other location in the home, AALFI takes a different approach and allows the person to either leave the interface in one particular location or carry it to a different location so that assistance may be offered in key locations including the kitchen, living room, bedroom and WC. Meaningful pictures (Visual interaction) and calming music (Auditory interaction) are provided in response to detected events to help relieve agitation during the night, help to calm the persons and help them stay/return to sleep.…”

Section: Related Research Projectsmentioning

confidence: 99%

Flexible context aware interface for ambient assisted living

McNaull

Augusto

Mulvenna

et al. 2014

Hum. Cent. Comput. Inf. Sci.

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A Multi Agent System that provides a (cared for) person, the subject, with assistance and support through an Ambient Assisted Living Flexible Interface (AALFI) during the day while complementing the night time assistance offered by NOCTURNAL with feedback assistance, is presented. It has been tailored to the subject's requirements profile and takes into account factors associated with the time of day; hence it attempts to overcome shortcomings of current Ambient Assisted Living Systems. The subject is provided with feedback that highlights important criteria such as quality of sleep during the night and possible breeches of safety during the day. This may help the subject carry out corrective measures and/or seek further assistance. AALFI provides tailored interaction that is either visual or auditory so that the subject is able to understand the interactions and this process is driven by a Multi-Agent System. User feedback gathered from a relevant user group through a workshop validated the ideas underpinning the research, the Multi-agent system and the adaptable interface.

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“…88,102,109]. Examples include prompting through reminders or encouragement [55,81], diagnosis tools [5,64], and prediction, anticipation, and prevention of hazardous situations [43,76]. The operation of these functions is dependant on the performance and robustness of the activity recognition and prediction algorithms these functions are based on.…”

Section: Motivationmentioning

confidence: 99%

Prediction of Next Sensor Event and its Time of Occurrence using Transfer Learning across Homes

Casagrande

Zouganeli

2019

2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)

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This thesis is written for the Faculty of Mathematics and Natural Sciences at the University of Oslo for the degree of Philosophiae Doctor (Ph.D.). The research presented here has been conducted under the supervision of Associate Professor Evi Zouganeli and the co-supervision of Professor Jim Tørresen. The work has been funded by the Research Council of Norway, under the SAMANSVAR programme (247620/O70) and is a part of the interdisciplinary "Assisted Living Projectresponsible innovations for dignified lives at home for people with mild cognitive impairment or dementia". The project involves researchers from the

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Nocturnal Sensing and Intervention for Assisted Living of People with Dementia

Cited by 13 publications

References 1 publication

The BRadykinesia Akinesia INcoordination (BRAIN) Tap Test: Capturing the Sequence Effect

The BRadykinesia Akinesia INcoordination (BRAIN) Tap Test: Capturing the Sequence Effect

Flexible context aware interface for ambient assisted living

Prediction of Next Sensor Event and its Time of Occurrence using Transfer Learning across Homes

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