A5060496197- Sleep and related disorders
- Sleep and Wakefulness Research
- Obstructive Sleep Apnea Research
- EEG and Brain-Computer Interfaces
- Non-Invasive Vital Sign Monitoring
- Sleep and Work-Related Fatigue
- Circadian rhythm and melatonin
- Heart Rate Variability and Autonomic Control
- Context-Aware Activity Recognition Systems
- Blind Source Separation Techniques
- Dementia and Cognitive Impairment Research
- Mobile Health and mHealth Applications
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Neural dynamics and brain function
- Cardiovascular and exercise physiology
University of Surrey
2021-2025
UK Dementia Research Institute
2021-2024
Imperial College London
2021-2024
Surrey and Borders Partnership NHS Foundation Trust
2024
Sleep Research Society
2023
Indian Institute of Technology Delhi
2018
To compare the 24-hour sleep assessment capabilities of two contactless technologies (CSTs) to actigraphy in community-dwelling older adults.We collected 7-14 days data at home from 35 adults (age: 65-83), some with medical conditions, using Withings Sleep Analyser (WSA, n = 29), Emfit QS (Emfit, 17), a standard device (Actiwatch Spectrum [AWS, 34]), and diary (n 35). We compared nocturnal daytime measures estimated by CSTs without information (AWS-A) against sleep-diary-assisted...
Sleep and circadian rhythm disturbance are predictors of poor physical mental health, including dementia. Long-term digital technology-enabled monitoring sleep rhythms in the community has great potential for early diagnosis, disease progression, assessing effectiveness interventions. Before novel technology-based can be implemented at scale, its performance acceptability need to evaluated compared gold-standard methodology relevant populations. Here, we describe our protocol evaluation...
Ultra-wideband (UWB) radar technology has emerged as a promising alternative for creating portable and cost-effective in-home monitoring devices. Although there exists good evidence supporting its effectiveness in sleep monitoring, previous studies predominantly focus on younger, healthy participants. This research evaluates the applicability of commercial impulse UWB older people with neurodegenerative disorders (NDDs). 47 (mean age: 71.2 6.5, 18 prodromal or mild Alzheimer's disease)...
Contactless sleep technologies (CSTs) hold promise for longitudinal, unobtrusive monitoring in the community and at scale. They may be particularly useful older populations wherein disturbance, which indicative of deterioration physical mental health, is highly prevalent. However, few CSTs have been evaluated people.
Several cellular pathways contribute to neurodegenerative tauopathy-related disorders. Microglial activation, a major component of neuroinflammation, is an early pathologic hallmark that correlates with cognitive decline, while the unfolded protein response (UPR) contributes synaptic pathology. Sleep disturbances are prevalent in tauopathies and may also disease progression. Few studies have investigated whether manipulations sleep influence behavioral features tauopathy. We trazodone,...
Longitudinal monitoring of vital signs provides a method for identifying changes to general health in an individual, particularly older adults. The nocturnal sleep period convenient opportunity assess signs. Contactless technologies that can be embedded into the bedroom environment are unintrusive and burdenless have potential enable seamless To realize this potential, these need evaluated against gold standard measures relevant populations.
Introduction: Portable electroencephalography (EEG) devices offer the potential for accurate quantification of sleep at home but have not been evaluated in relevant populations. Methods: We assessed Dreem headband (DHB), and its automated staging algorithm 62 older adults [Age (mean±SD) 70.5±6.7 years; 12 Alzheimers]. The accuracy measures, epoch-by-epoch staging, quality EEG signals quantitative (qEEG) analysis was compared to standard polysomnography (PSG) a laboratory. Results: DHB...
Wearable heart rate monitors offer a cost-effective way of non-invasive, long-term monitoring cardiac health. Validation wearable technologies in an older populations is essential for evaluating their effectiveness during deployment healthcare settings. To this end, we evaluated the validity measures from device, Empatica E4, and compared them to electrocardiography (ECG). We collected E4 data simultaneously with ECG thirty-five men women overnight sleep recording laboratory. propose robust...
People living with dementia (PLWD) often exhibit marked sleep disturbances. These cause substantial care challenges and may be causally related to progression. Collecting ecologically valid data on disturbance in naturalistic settings has been difficult. As a result, assessments PLWD are generally limited short studies laboratories or collection from wearables, where compliance is problematic. Here, we demonstrate how passive internet of things (IoT) sensors can used monitor the effects...
Nocturnal disturbance is frequently observed in dementia and a major contributor to institutionalisation. Unobtrusive technology that can quantify sleep/wake determine bed occupancy during the nocturnal sleep episode may be beneficial for long-term clinical monitoring carer. Such technologies have, however, not been validated older people. Here we assessed performance of Withings Sleep Mattress (WSM) heterogenous population ensure external validity.Eighteen participants (65 - 80 years,...
Introduction Disturbances of sleep/wake behaviour are amongst the most disabling symptoms dementia, leading to increased carers’ burden and institutionalisation. The lack unobtrusive, low- technologies validated monitor sleep in patients living with dementia (PLWD) has prevented longitudinal studies nocturnal disturbances their correlates. Aims To examine effect medication changes clinical status on intraindividual variation PLWD. Methods Using under-mattress pressure-sensing mat 46 PLWD, we...
Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large repositories and well-trained analysis models. Yet, this wealth of is lacking for emerging, less intrusive modalities, such as ear-EEG. The current study seeks to harness abundance open-source scalp EEG datasets by applying models pre-trained on data, either directly or with minimal fine-tuning; achieved in context effective sleep ear-EEG that was recorded using a single...
Abstract Background Changes in sleep patterns are common Alzheimer’s disease and impact the quality of life both people living with (PLWA) their caregivers. Longitudinal recordings assessment night‐to‐night variations physiology can improve our understanding how influences clinical outcomes caregiver wellbeing. Method We collected diary contactless technology data (Withings analyser, WSA) community dwelling PLWA (N = 16, Age 72.8 ± 5.7 years, SMMSE 27.1 1.4), caregivers 8, 74.4 3.8 28.6 0.7)...
<title>Abstract</title> Disturbed sleep is common in ageing and dementia, but objectively quantifying it over time challenging. We validated a contactless under-mattress pressure sensor developed data analysis method to assess patterns the home long periods. Data from 13,588 individuals (3.7 million nights) general population were compared dementia cohort of 93 patients (>40,000 nights). Dementia was associated with heterogeneous disturbances primarily characterised by advanced delayed...
<sec> <title>BACKGROUND</title> Contactless sleep technologies (CSTs) hold promise for longitudinal, unobtrusive monitoring in the community and at scale. They may be particularly useful older populations wherein disturbance, which indicative of deterioration physical mental health, is highly prevalent. However, few CSTs have been evaluated people. </sec> <title>OBJECTIVE</title> This study performance 3 compared to polysomnography (PSG) actigraphy an population. <title>METHODS</title>...
Abstract Sleep timing varies between individuals and can be altered in mental physical health conditions. circadian sleep phenotypes, including rhythm sleep-wake disorders, may driven by endogenous physiological processes, exogeneous environmental light exposure along with social constraints behavioural factors. Identifying the relative contributions of these driving factors to different phenotypes is essential for design personalised interventions. The human cycle has been modelled as an...
Abstract Introduction Longitudinal monitoring of vital signs provides a method for identifying changes to general health in an individual and particularly so older adults. The nocturnal sleep period convenient opportunity assess signs. Contactless technologies that can be embedded into the bedroom environment are unintrusive burdenless have potential enable seamless To realise this potential, these need evaluated against gold standard measures relevant populations. Methods We accuracy heart...
Sleep disorders are a prevalent problem among older adults, yet obtaining an accurate and reliable assessment of sleep quality can be challenging. Traditional polysomnography (PSG) is the gold standard for staging, but obtrusive, expensive, requires expert assistance. To this end, we propose minimally invasive single-channel single ear-EEG automatic staging method adults. The employs features from frequency, time, structural complexity domains, which provide robust classification stages...
Sleep timing varies between individuals and can be altered in mental physical health conditions. circadian sleep phenotypes, including rhythm sleep-wake disorders, may driven by endogenous physiological processes, exogeneous environmental light exposure along with social constraints behavioural factors. Identifying the relative contributions of these driving factors to different phenotypes is essential for design personalised interventions. The human cycle has been modelled as an interaction...
This study introduces a novel, high accuracy, calibration less spatial filter for reliable steady-state visual evoked potential (SSVEP) extraction from noisy electroencephalogram (EEG) data. The proposed method, exactly periodic subspace decomposition (EPSD), utilises the properties of SSVEP components to achieve robust extraction. It tries extract by projecting EEG data onto where only target signal are retained. performance method was tested on an dataset obtained ten subjects and compared...
<sec> <title>BACKGROUND</title> Longitudinal monitoring of vital signs provides a method for identifying changes to general health in an individual, particularly older adults. The nocturnal sleep period convenient opportunity assess signs. Contactless technologies that can be embedded into the bedroom environment are unintrusive and burdenless have potential enable seamless To realize this potential, these need evaluated against gold standard measures relevant populations. </sec>...
Abstract Sleep and circadian rhythm disturbance are predictors of poor physical mental health, including dementia. Long-term monitoring sleep rhythms in people living the community may have great potential for early diagnosis, disease progression assessing effectiveness interventions dementia other health conditions. Many novel digital technology-based approaches rhythms, aimed at both consumer research markets, recently become available. However, before such technology can be implemented...