Literature References on Stroke, Digital health, Blood Pressure Management, Depression, Rehabilitation
- 2022 - Real-time alerting system for COVID-19 and other stress events using wearable data - [Paper]
- 2021 - A scalable, secure, and interoperable platform for deep data-driven health management - [Paper]
- 2021 - Five-year pediatric use of a digital wearable fitness device: lessons from a pilot case study - [Paper]
- 2021 - Wearable sensors enable personalized predictions of clinical laboratory measurements - [Paper]
- 2020 - Pre-symptomatic detection of COVID-19 from smartwatch data - [Paper]
- 2019 - A longitudinal big data approach for precision health - [Paper]
- 2021 - Digital Twin for Intelligent Context-Aware IoT Healthcare Systems - [Paper]
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- 2021 - Digital health in stroke medicine: what are the opportunities for stroke patients? - [Paper]
- 2022 - A mixed-methods feasibility study of a new digital health support package for people after stroke: the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke (ReCAPS) intervention - [Paper]
- 2023 - EEG classification of traumatic brain injury and stroke from a nonspecific population using neural networks - [Paper]
- 2019 - Non-invasive sensor technology for prehospital stroke diagnosis: Current status and future directions - [Paper]
- 2020 - Real-time gait monitoring system for consumer stroke prediction service - [Paper]
- 2019 - Rehab-net: Deep learning framework for arm movement classification using wearable sensors for stroke rehabilitation - [Paper]
- 2019 - Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment - [Paper]
- 2021 - Big-ECG: Cardiographic predictive cyber-physical system for stroke management - [Paper]
- 2022 - Stroke risk prediction with machine learning techniques - [Paper]
- 2021 - Deep learning-based stroke disease prediction system using real-time bio signals - [Paper]
- 2020 - HealthSOS: Real-time health monitoring system for stroke prognostics - [Paper]
- 2019 - Towards reliable, automated general movement assessment for perinatal stroke screening in infants using wearable accelerometers - [Paper]
- 2019 - Preliminary clinical application of textile insole sensor for hemiparetic gait pattern analysis - [Paper]
- 2020 - Machine learning for brain stroke: a review - [Paper]
- 2022 - Early Detection of Stroke-Initiated Behavioral Disorder - [Paper]
- 2019 - Skin sensors are the future of health care - [Paper]
- 2022 - Association of accelerometer-measured sedentary time and physical activity with risk of stroke among US adults - [Paper]
- 2019 - Remote monitoring of stroke patients' rehabilitation using wearable accelerometers - [Paper]
- 2019 - Towards the design of a ring sensor-based mHealth system to achieve optimal motor function in stroke survivors - [Paper]
- 2019 - Towards reliable, automated general movement assessment for perinatal stroke screening in infants using wearable accelerometers - [Paper]
- 2021 - Detection of unilateral arm paresis after stroke by wearable accelerometers and machine learning - [Paper]
- 2016 - Wearable sensors and Mobile Health (mHealth) technologies to assess and promote physical activity in stroke: a narrative review - [Paper]
- 2023 - A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform - [Paper]
- 2017 - Activity recognition for persons with stroke using mobile phone technology: toward improved performance in a home setting - [Paper]
- 2021 - Trends and challenges of wearable multimodal technologies for stroke risk prediction - [Paper]
- 2016 - Stroke prediction context-aware health care system - [Paper]
- 2018 - Data analytics of a wearable device for heat stroke detection - [Paper]
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- 2018 - Tracking depression dynamics in college students using mobile phone and wearable sensing - [Paper]
- 2019 - Mobile phone and wearable sensor-based mHealth approaches for psychiatric disorders and symptoms: systematic review - [Paper]
- 2023 - Wearable artificial intelligence for anxiety and depression: Scoping review - [Paper]
- 2022 - Predicting depression in adolescents using mobile and wearable sensors: Multimodal machine learning–based exploratory study - [Paper]
- 2021 - Leveraging collaborative-filtering for personalized behavior modeling: a case study of depression detection among college students - [Paper]
- 2021 - Detecting depression and predicting its onset using longitudinal symptoms captured by passive sensing: a machine learning approach with robust feature selection - [Paper]
- 2022 - First-gen lens: Assessing mental health of first-generation students across their first year at college using mobile sensing - [Paper]
- 2011 - Passive and in-situ assessment of mental and physical well-being using mobile sensors - [Paper]
- 2017 - Mobile sensing at the service of mental well-being: a large-scale longitudinal study - [Paper]
- 2021 - Identifying mobile sensing indicators of stress-resilience - [Paper]
- 2014 - Detection of behavior change in people with depression - [Paper]
- 2018 - Mental health sensing using mobile phones - [Paper]
- 2018 - Tracking depression dynamics in college students using mobile phone and wearable sensing - [Paper]
- 2014 - StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones - [Paper]
- 2016 - CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia - [Paper]
- 2019 - Personalizing mental health: A feasibility study of a mobile behavioral activation tool for depressed patients - [Paper]
- 2021 - Current practices in mental health sensing - [Paper]
- 2022 - Sensing apps and public data sets for digital phenotyping of mental health: systematic review- [Paper]
- 2019 - A survey on big data-driven digital phenotyping of mental health - [Paper]
- 2020 - Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data - [Paper]
- 2020 - Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery - [Paper]
- 2022 - Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review - [Paper]
- 2020 - Applications of smart textiles in post-stroke rehabilitation - [Paper]
- 2019 - Rehab-net: Deep learning framework for arm movement classification using wearable sensors for stroke rehabilitation - [Paper]
- 2019 - Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment - [Paper]
- 2020 - Sensors and systems for physical rehabilitation and health monitoring—A review - [Paper]
- 2019 - Remote monitoring of stroke patients' rehabilitation using wearable accelerometers - [Paper]
- 2017 - Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery - [Paper]
- 2022 - Wearable Sensors for Stroke Rehabilitation - [Paper]
- 2019 - Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation - [Paper]
- 2020 - Towards data-driven stroke rehabilitation via wearable sensors and deep learning - [Paper]
- 2019 - A survey of healthcare Internet of Things (HIoT): A clinical perspective - [Paper]
- 2021 - Digital health in stroke medicine: what are the opportunities for stroke patients? - [Paper]
- 2019 - Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment - [Paper]
- 2022 - Sensing apps and public data sets for digital phenotyping of mental health: systematic review- [Paper]
- 2019 - A survey of healthcare Internet of Things (HIoT): A clinical perspective - [Paper]
- 2022 - A Review of Recent Advances in Vital Signals Monitoring of Sports and Health via Flexible Wearable Sensors - [Papwe]
- 2019 - Big data in healthcare: management, analysis and future prospects - [Paper]
- 2019 - Big data and health - [Paper]
- 20 - The emerging clinical role of wearables: factors for successful implementation in healthcare - [Paper]
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