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• Journal article
  Rezvani R, Barnaghi P, Enshaeifar S, 2021,

  A New Pattern Representation Method for Time-Series Data

  , IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, Vol: 33, Pages: 2818-2832, ISSN: 1041-4347
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  • Citations: 10
• Journal article
  Qiu M, Thuraisingham B, Daneshmand M, Ning H, Barnaghi Pet al., 2021,

  Guest Editorial: Special Issue on Robustness and Efficiency in the Convergence of Artificial Intelligence and IoT

  , IEEE INTERNET OF THINGS JOURNAL, Vol: 8, Pages: 9460-9462, ISSN: 2327-4662
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  • Citations: 2
• Conference paper
  Chen Z, Bannon A, Rapeaux A, Constandinou TGet al., 2021,

  Towards robust, unobtrusive sensing of respiration using UWB impulse Radar for the care of people living with dementia

  , 10th International IEEE-EMBS Conference on Neural Engineering (NER), Publisher: IEEE, Pages: 866-871, ISSN: 1948-3546

  The unobtrusive monitoring of vital signals and behaviour can be used to gather intelligence to support the care of people living with dementia. This can provide insights into the person's wellbeing and the neurogenerative process, as well as enable them to continue to live safely at home, thereby improving their quality of life. Within this context, this study investigated the deployability of non-contact respiration rate (RR) measurement based on an Ultra-Wideband (UWB) radar System-on-Chip (SoC). An algorithm was developed to simultaneously and continuously extract the respiration signal, together with the confidence level of the respiration signal and the target position, without needing any prior calibration. The radar-measured RR results were compared to the RR results obtained from a ground truth measure based on the breathing sound, and the error rates were within 8% with a mean value of 2.5%. The target localisation results match to the radar-to-chest distances with a mean error rate of 5.8%. The tested measurement range was up to 5m. The results suggest that the algorithm could perform sufficiently well in non-contact stationary respiration rate detection.

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• Journal article
  Tiersen F, Batey P, Harrison MJC, Naar L, Serban A-I, Daniels SJC, Calvo RAet al., 2021,

  Smart home sensing and monitoring in households with dementia: user-centered design approach

  , JMIR Aging, Vol: 4, Pages: 1-20, ISSN: 2561-7605

  Background:As life expectancy grows, so do the challenges of caring for an ageing population. Older adults, including people with dementia, want to live independently and feel in control of their lives for as long as possible. Assistive technologies powered by Artificial Intelligence and Internet of Things devices are being proposed to provide living environments that support the users’ safety, psychological, and medical needs through remote monitoring and interventions.Objective:This study investigates the functional, psychosocial, and environmental needs of people living with dementia, their caregivers, clinicians, and health and social care service providers towards the design and implementation of smart home systems.Methods:We used an iterative user-centered design approach comprising nine sub-studies. First, semi-structured interviews (N = 9 people with dementia, 9 caregivers, 10 academic and clinical staff), ethnographic observations in clinics (N = 10 people with dementia, 10 caregivers, 3 clinical monitoring team members), and workshops (N = 35 pairs of people with dementia and caregivers, 12 health and social care clinicians) were conducted to define the needs of people with dementia, home caregivers and professional stakeholders in both daily activities and technology-specific interactions. Then, the spectrum of needs identified was represented via patient-caregiver personas and discussed with stakeholders in a workshop (N = 14 occupational therapists, 4 National Health Service pathway directors, 6 researchers in occupational therapy, neuropsychiatry and engineering) and two focus groups with managers of healthcare services (N = 8), eliciting opportunities for innovative care technologies and public health strategies. Finally, these opportunities were discussed in semi-structured interviews with participants of a smart home trial involving environmental sensors, physiological measurement devices, smart watches, and tablet-based chatbots and cognitive

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• Journal article
  Molero Y, Sharp DJ, Onofrio BMD, Larsson H, Fazel Set al., 2021,

  Psychotropic and pain medication use in individuals with traumatic brain injury-a Swedish total population cohort study of 240 000 persons

  , JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, Vol: 92, Pages: 519-527, ISSN: 0022-3050
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  • Citations: 3

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