2018
Rohani, 2018, Correlations between objective behavioral features collected from mobile and wearable devices and depressive mood symptoms in patients with affective disorders: systematic review, JMIR Mhealth Uhealth, 6, e165, 10.2196/mhealth.9691
Bot, 2016, The mPower study, Parkinson disease mobile data collected using ResearchKit, Sci Data, 3, 10.1038/sdata.2016.11
Hershman, 2019, Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study, Sci Data, 6, 24, 10.1038/s41597-019-0016-7
Jensen, 2019, Resting heart rate and relation to disease and longevity: past, present and future, Scand J Clin Lab Invest, 79, 108, 10.1080/00365513.2019.1566567
Shcherbina, 2017, Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort, J Pers Med, 7, 3, 10.3390/jpm7020003
Kinnunen, 2018, 0312 The HRV Of The Ring - comparison of nocturnal HR and HRV between a commercially available wearable ring and ECG, Sleep, 41, A120, 10.1093/sleep/zsy061.311
Howell, 2010
Han, 2022, A real-time PPG peak detection method for accurate determination of heart rate during sinus rhythm and cardiac arrhythmia, Biosensors, 12, 82, 10.3390/bios12020082
Ouyang, 2017, Self-powered pulse sensor for antidiastole of cardiovascular disease, Adv Mater, 29, 10.1002/adma.201703456
Aliverti, 2017, Wearable technology: role in respiratory health and disease, Breathe, 13, e27, 10.1183/20734735.008417
Takahashi, 2022, Wearable technology for monitoring respiratory rate and spo2 of covid-19 patients: a systematic review, Diagnostics, 12, 10.3390/diagnostics12102563
Wang, 2018, Monitoring of the central blood pressure waveform via a conformal ultrasonic device, Nat Biomed Eng, 2, 687, 10.1038/s41551-018-0287-x
Kenny, 2021, A wireless wearable doppler ultrasound detects changing stroke volume: proof-of-principle comparison with trans-esophageal echocardiography during coronary bypass surgery, Bioengineering, 8, 203, 10.3390/bioengineering8120203
2009
Winzer, 2018, Physical activity in the prevention and treatment of coronary artery disease, J Am Heart Assoc, 7, 10.1161/JAHA.117.007725
Ciravegna, 2019, Active 10: Brisk walking to support regular physical activity, 11
Nes, 2017, Personalized activity intelligence (PAI) for prevention of cardiovascular disease and promotion of physical activity, Am J Med, 130, 328, 10.1016/j.amjmed.2016.09.031
Broers, 2020, A personalized ehealth intervention for lifestyle changes in patients with cardiovascular disease: randomized controlled trial, J Med Internet Res, 22, 10.2196/14570
Forouzanfar, 2016, Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015, Lancet, 388, 1659, 10.1016/S0140-6736(16)31679-8
Kuwabara, 2019, Validation of two watch-type wearable blood pressure monitors according to the ANSI/AAMI/ISO81060-2:2013 guidelines: Omron HEM-6410T-ZM and HEM-6410T-ZL, J Clin Hypertens, 21, 853, 10.1111/jch.13499
Kario, 2020, The first study comparing a wearable watch-type blood pressure monitor with a conventional ambulatory blood pressure monitor on in-office and out-of-office settings, J Clin Hypertens, 22, 135, 10.1111/jch.13799
Zhang, 2022, Validation of the watch-type HUAWEI WATCH D oscillometric wrist blood pressure monitor in adult Chinese, Blood Press Monit, 27, 353, 10.1097/MBP.0000000000000608
Vybornova, 2021, Blood pressure from the optical Aktiia Bracelet: a 1-month validation study using an extended ISO81060-2 protocol adapted for a cuffless wrist device, Blood Press Monit, 26, 305, 10.1097/MBP.0000000000000531
Campbell, 2016, A call to regulate manufacture and marketing of blood pressure devices and cuffs: a position statement from the world hypertension league, international society of hypertension and supporting hypertension organizations, J Clin Hypertens, 18, 378, 10.1111/jch.12782
Sola, 2021, Validation of the optical Aktiia bracelet in different body positions for the persistent monitoring of blood pressure, Sci Rep, 11, 10.1038/s41598-021-99294-w
Tison, 2018, Passive detection of atrial fibrillation using a commercially available smartwatch, JAMA Cardiol, 3, 409, 10.1001/jamacardio.2018.0136
Bonomi, 2018, Atrial fibrillation detection using a novel cardiac ambulatory monitor based on photo-plethysmography at the wrist, J Am Heart Assoc, 7, 10.1161/JAHA.118.009351
Perez, 2019, Large-scale assessment of a smartwatch to identify atrial fibrillation, N Engl J Med, 381, 1909, 10.1056/NEJMoa1901183
Guo, 2019, Mobile photoplethysmographic technology to detect atrial fibrillation, J Am Coll Cardiol, 74, 2365, 10.1016/j.jacc.2019.08.019
Fouassier, 2020, Assessment of signal quality measured with a smart 12-lead ECG acquisition T-shirt, Ann Noninvasive Electrocardiol, 25, 10.1111/anec.12682
Pagola, 2018, Yield of atrial fibrillation detection with textile wearable holter from the acute phase of stroke: pilot study of Crypto-AF registry, Int J Cardiol, 251, 45, 10.1016/j.ijcard.2017.10.063
Yan, 2018, Contact-free screening of atrial fibrillation by a smartphone using facial pulsatile photoplethysmographic signals, J Am Heart Assoc, 7, 10.1161/JAHA.118.008585
Walsh, 1997, Relation of daily activity levels in patients with chronic heart failure to long-term prognosis, Am J Cardiol, 79, 1364, 10.1016/S0002-9149(97)00141-0
Deka, 2018, Feasibility of using the Fitbit® Charge HR in validating self-reported exercise diaries in a community setting in patients with heart failure, Eur J Cardiovasc Nurs, 17, 605, 10.1177/1474515118766037
Waring, 2017, Measured physical activity and 30-day rehospitalization in heart failure patients, J Cardiopulm Rehabil Prev, 37, 124, 10.1097/HCR.0000000000000204
Tan, 2019, Can activity monitors predict outcomes in patients with heart failure? A systematic review, Eur Heart J Qual Care Clin Outcomes, 5, 11, 10.1093/ehjqcco/qcy038
Khandwalla, 2021, The AWAKE-HF study: sacubitril/valsartan impact on daily physical activity and sleep in heart failure, Am J Cardiovasc Drugs, 21, 241, 10.1007/s40256-020-00440-y
Cuba-Gyllensten, 2014, A novel wearable vest for tracking pulmonary congestion in acutely decompensated heart failure, Int J Cardiol, 177, 199, 10.1016/j.ijcard.2014.09.041
Cuba Gyllensten, 2016, Early indication of decompensated heart failure in patients on home-telemonitoring: a comparison of prediction algorithms based on daily weight and noninvasive transthoracic bio-impedance, JMIR Med Inform, 4, e3, 10.2196/medinform.4842
Darling, 2017, Bioimpedance-based heart failure deterioration prediction using a prototype fluid accumulation vest-mobile phone dyad: an observational study, JMIR Cardio, 1, e1, 10.2196/cardio.6057
Amir, 2013, A novel approach to monitoring pulmonary congestion in heart failure: initial animal and clinical experiences using remote dielectric sensing technology, Congest Heart Fail, 19, 149, 10.1111/chf.12021
Amir, 2016, Validation of remote dielectric sensing (ReDS™) technology for quantification of lung fluid status: comparison to high resolution chest computed tomography in patients with and without acute heart failure, Int J Cardiol, 221, 841, 10.1016/j.ijcard.2016.06.323
Amir, 2017, Evaluation of remote dielectric sensing (ReDS) technology-guided therapy for decreasing heart failure re-hospitalizations, Int J Cardiol, 240, 279, 10.1016/j.ijcard.2017.02.120
Roy, 2018, Noninvasive remote dielectric sensing vest significantly reduces readmission rate of patients with heart failure, J Card Fail, 24, S92, 10.1016/j.cardfail.2018.07.359
Opsha, 2019, Retrospective evaluation of remote dielectric sensing (ReDS) vest technology and its impact on heart failure readmission rates and diuretics therapy, J Card Fail, 25, S147, 10.1016/j.cardfail.2019.07.424
Freene, 2020, Comparison of device-based physical activity and sedentary behaviour following percutaneous coronary intervention in a cohort from Sweden and Australia: a harmonised, exploratory study, BMC Sports Sci Med Rehabil, 12, 1, 10.1186/s13102-020-00164-1
Duran, 2019, Patterns of sedentary behavior in the first month after acute coronary syndrome, J Am Heart Assoc, 8, 10.1161/JAHA.118.011585
Freene, 2020, High sedentary behaviour and low physical activity levels at 12 months after cardiac rehabilitation: a prospective cohort study, Ann Phys Rehabil Med, 63, 53, 10.1016/j.rehab.2019.07.008
Kronish, 2017, Objectively measured adherence to physical activity guidelines after acute coronary syndrome, J Am Coll Cardiol, 69, 1205, 10.1016/j.jacc.2016.10.087
Butler, 2009, Effects of a pedometer-based intervention on physical activity levels after cardiac rehabilitation: a randomized controlled trial, J Cardiopulm Rehabil Prev, 29, 105, 10.1097/HCR.0b013e31819a01ff
Houle, 2012, Effectiveness of a pedometer-based program using a socio-cognitive intervention on physical activity and quality of life in a setting of cardiac rehabilitation, Can J Cardiol, 28, 27, 10.1016/j.cjca.2011.09.020
Nogic, 2017, The utility of personal activity trackers (Fitbit Charge 2) on exercise capacity in patients post acute coronary syndrome [UP-STEP ACS Trial]: a randomised controlled trial protocol, BMC Cardiovasc Disord, 17, 1, 10.1186/s12872-017-0726-8
González-Saiz, 2018, Physical activity levels are low in patients with pulmonary hypertension, Ann Transl Med, 6, 205, 10.21037/atm.2018.05.37
Cascino, 2019, Physical activity and quality of life in patients with pulmonary hypertension, Eur Respir J, 53, 10.1183/13993003.00028-2019
Sehgal, 2019, Counting steps: a new way to monitor patients with pulmonary arterial hypertension, Lung, 197, 501, 10.1007/s00408-019-00239-y
Saxer, 2019, Physical activity in incident patients with pulmonary arterial and chronic thromboembolic hypertension, Lung, 197, 617, 10.1007/s00408-019-00248-x
González-Saiz, 2017, Benefits of skeletal-muscle exercise training in pulmonary arterial hypertension: The WHOLEi+12 trial, Int J Cardiol, 231, 277, 10.1016/j.ijcard.2016.12.026
Aslan, 2020, A randomized controlled trial on inspiratory muscle training in pulmonary hypertension: effects on respiratory functions, functional exercise capacity, physical activity, and quality of life, Heart Lung, 49, 381, 10.1016/j.hrtlng.2020.01.014
Nathan, 2020, A randomized, double-blind, placebo-controlled study of pulsed, inhaled nitric oxide in subjects at risk of pulmonary hypertension associated with pulmonary fibrosis, Chest, 158, 637, 10.1016/j.chest.2020.02.016
Rothman, 2020, Intravascular ultrasound pulmonary artery denervation to treat pulmonary arterial hypertension (TROPHY1): multicenter, early feasibility study, JACC Cardiovasc Interv, 13, 989, 10.1016/j.jcin.2019.12.027
Mueller, 2019, Evaluation of clinical outcomes and simultaneous digital tracking of daily physical activity, heart rate, and inhalation behavior in patients with pulmonary arterial hypertension treated with inhaled iloprost: protocol for the observational VENTASTEP study, JMIR Res Protoc, 8, 10.2196/12144
Howard, 2023, Assessing daily life physical activity by actigraphy in pulmonary arterial hypertension: insights from the randomized controlled study with selexipag (TRACE), Chest, 163, 407, 10.1016/j.chest.2022.08.2231
Tang, 2015, Relationship between accelerometer-measured activity and self-reported or performance-based function in older adults with severe aortic stenosis, Curr Geriatr Rep, 4, 377, 10.1007/s13670-015-0152-7
Green, 2012, Accelerometer-measured physical activity recovery in the first month after transcatheter aortic valve replacement, J Am Coll Cardiol, 59
King, 2017, Application of data fusion techniques and technologies for wearable health monitoring, Med Eng Phys, 42, 1, 10.1016/j.medengphy.2016.12.011
Hose, 2019, Cardiovascular models for personalised medicine: where now and where next?, Med Eng Phys, 72, 38, 10.1016/j.medengphy.2019.08.007
de Lepper, 2022, From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy, J R Soc Interface, 19, 10.1098/rsif.2022.0317
Krittanawong, 2021, Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management, Nat Rev Cardiol, 18, 75, 10.1038/s41569-020-00445-9
Ramirez, 2021, Progress with the ALL of US research program: opening access for researchers, JAMA, 325, 2441, 10.1001/jama.2021.7702
Zhou, 2021, Giant magnetoelastic effect in soft systems for bioelectronics, Nat Mater, 20, 1670, 10.1038/s41563-021-01093-1
Xu, 2022, High sensitivity and broad linearity range pressure sensor based on hierarchical in-situ filling porous structure, npj Flex Electron, 6, 62, 10.1038/s41528-022-00191-7