What Engineering Technology Could Do for Quality of Life in Parkinson's Disease: A Review of Current Needs and Opportunities

Parkinson's disease (PD) involves well-known motor symptoms such as tremor, rigidity, bradykinesia, and altered gait, but there are also nonlocomotory motor symptoms (e.g., changes in handwriting and speech) and even nonmotor symptoms (e.g., disrupted sleep, depression) that can be measured, monitored, and possibly better managed through activity-based monitoring technologies. This will enhance quality of life (QoL) in PD through improved self-monitoring and also provide information that could be shared with a healthcare provider to help better manage treatment. Until recently, nonmotor symptoms (“soft signs”) had been generally overlooked in clinical management, yet these are of primary importance to patients and their QoL. Day-to-day variability of the condition, the high variability in symptoms between patients, and the isolated snapshots of a patient in periodic clinic visits make better monitoring essential to the proper management of PD. Continuously monitored patterns of activity, social interactions, and daily activities could provide a rich source of information on status changes, guiding self-correction and clinical management. The same tools can be useful in earlier detection of PD and will improve clinical studies. Remote medical communications in the form of telemedicine, sophisticated tracking of medication use, and assistive technologies that directly compensate for disease-related challenges are examples of other near-term technology solutions to PD problems. Ultimately, a sensor technology is not good if it is not used. The Parkinson's community is a sophisticated early adopter of useful technologies and a group for which engineers can provide near-term gratifying benefits.

[1]  A. Prentice,et al.  Energy expenditure from minute-by-minute heart-rate recording: comparison with indirect calorimetry. , 1988, The American journal of clinical nutrition.

[2]  The Unified Parkinson's Disease Rating Scale (UPDRS): Status and recommendations , 2003, Movement disorders : official journal of the Movement Disorder Society.

[3]  Enzo Pasquale Scilingo,et al.  Complexity index from a personalized wearable monitoring system for assessing remission in mental health , 2018 .

[4]  S. Hagler Computational modeling of cognitive processes for continuous in-home assessment of cognitive performance , 2014 .

[5]  Todd Sherer,et al.  Improving patient participation in Parkinson‘s clinical trials: the experience of the Michael J Fox Foundation , 2014 .

[6]  U. Ekelund,et al.  Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. , 2004, Journal of applied physiology.

[7]  Angelo Antonini,et al.  Parkinson's disease: the non-motor issues. , 2011, Parkinsonism & related disorders.

[8]  C. Jack,et al.  Ways toward an early diagnosis in Alzheimer’s disease: The Alzheimer’s Disease Neuroimaging Initiative (ADNI) , 2005, Alzheimer's & Dementia.

[9]  Shyamal Patel,et al.  A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.

[10]  A. Gawande,et al.  The bell curve. , 2005, Minnesota medicine.

[11]  J. Cramer,et al.  Compliance declines between clinic visits. , 1990, Archives of internal medicine.

[12]  Andreas Kupsch,et al.  Impact of physical exercise on reaction time in patients with Parkinson's disease-data from the Berlin BIG Study. , 2014, Archives of physical medicine and rehabilitation.

[13]  Mandy Dotzauer,et al.  Longer-Term Effects of ADAS Use on Speed and Headway Control in Drivers Diagnosed With Parkinson's Disease , 2015, Traffic injury prevention.

[14]  Misha Pavel,et al.  A method for classification of movements in bed , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Loki Natarajan,et al.  Actigraphy for the assessment of sleep measures in Parkinson's disease. , 2013, Sleep.

[16]  Ning Wang,et al.  Can Virtual Humans Be More Engaging Than Real Ones? , 2007, HCI.

[17]  Esther Rodriguez-Villegas,et al.  Wearable Electroencephalography , 2010, IEEE Engineering in Medicine and Biology Magazine.

[18]  Paul Wicks,et al.  Innovations in e-health , 2013, Quality of Life Research.

[19]  I Prieto,et al.  Effects of two different exercise programs on gait parameters in individuals with Parkinson's disease: a pilot study. , 2014, Gait & posture.

[20]  S. McEwen,et al.  Exercise-enhanced neuroplasticity targeting motor and cognitive circuitry in Parkinson's disease , 2013, The Lancet Neurology.

[21]  O'BrienKevin,et al.  The Efficacy of Casual Videogame Play in Reducing Clinical Depression: A Randomized Controlled Study. , 2013 .

[22]  A. Singleton,et al.  The Parkinson Progression Marker Initiative (PPMI) , 2011, Progress in Neurobiology.

[23]  Carlo Caltagirone,et al.  The recognition of facial emotion expressions in Parkinson's disease , 2008, European Neuropsychopharmacology.

[24]  Tanya Simuni,et al.  Recognition and treatment of depressive symptoms in Parkinson's disease: the NPF dataset. , 2014, Journal of Parkinson's disease.

[25]  S. Stanley Young,et al.  Deming, data and observational studies , 2011 .

[26]  Anette Schrag,et al.  What are the most important nonmotor symptoms in patients with Parkinson's disease and are we missing them? , 2010, Movement disorders : official journal of the Movement Disorder Society.

[27]  Xuemei Huang,et al.  Arm swing magnitude and asymmetry during gait in the early stages of Parkinson's disease. , 2010, Gait & posture.

[28]  Tapani Keränen,et al.  Medication reminder service for mobile phones: an open feasibility study in patients with Parkinson's disease. , 2013, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[29]  S. Ann Becker,et al.  In-home monitoring of persons with dementia: Ethical guidelines for technology research and development , 2007, Alzheimer's & Dementia.

[30]  David A. Williams,et al.  Ambulatory monitoring of physical activity and symptoms in fibromyalgia and chronic fatigue syndrome. , 2005, Arthritis and rheumatism.

[31]  Jürgen Unützer,et al.  A web-delivered care management and patient self-management program for recurrent depression: a randomized trial. , 2012, Psychiatric services.

[32]  Toru Nakamura,et al.  Co-Variation of Depressive Mood and Locomotor Dynamics Evaluated by Ecological Momentary Assessment in Healthy Humans , 2013, PloS one.

[33]  Taha B. M. J. Ouarda,et al.  Technologically sensed social exposure related to slow-wave sleep in healthy adults , 2014, Sleep and Breathing.

[34]  R. Pahwa,et al.  Interactive video conferencing: A means of providing interim care to parkinson's disease patients , 1993, Movement disorders : official journal of the Movement Disorder Society.

[35]  Günther Deuschl,et al.  Parkinson’s Disease and Dementia: A Longitudinal Study (DEMPARK) , 2011, Neuroepidemiology.

[36]  Maria Hagströmer,et al.  The Effects of Highly Challenging Balance Training in Elderly With Parkinson’s Disease , 2015, Neurorehabilitation and neural repair.

[37]  Roberto Maestri,et al.  Intensive Rehabilitation Increases BDNF Serum Levels in Parkinsonian Patients , 2014, Neurorehabilitation and neural repair.

[38]  R. Fitzpatrick,et al.  PDQ-39: a review of the development, validation and application of a Parkinson’s disease quality of life questionnaire and its associated measures , 1998, Journal of Neurology.

[39]  Greg Miller,et al.  Alzheimer's biomarker initiative hits its stride. , 2009, Science.

[40]  K. O'Brien,et al.  The Efficacy of Casual Videogame Play in Reducing Clinical Depression: A Randomized Controlled Study. , 2013, Games for health journal.

[41]  Sebastiaan Overeem,et al.  Accelerometer-based quantitative analysis of axial nocturnal movements differentiates patients with Parkinson's disease, but not high-risk individuals, from controls , 2014, Journal of Neurology, Neurosurgery & Psychiatry.

[42]  Samuel S Wu,et al.  What are the issues facing Parkinson's disease patients at ten years of disease and beyond? Data from the NPF-QII study. , 2012, Parkinsonism & related disorders.

[43]  E Ray Dorsey,et al.  Virtual house calls for Parkinson disease (Connect.Parkinson): study protocol for a randomized, controlled trial , 2014, Trials.

[44]  J. Mundt,et al.  Vocal Acoustic Biomarkers of Depression Severity and Treatment Response , 2012, Biological Psychiatry.

[45]  Thomas Klockgether,et al.  Sleep attacks, daytime sleepiness, and dopamine agonists in Parkinson's disease , 2003, Movement disorders : official journal of the Movement Disorder Society.

[46]  Dimitrios I. Fotiadis,et al.  Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors , 2014, Sensors.

[47]  E Ray Dorsey,et al.  Potential reliability and validity of a modified version of the Unified Parkinson's Disease Rating Scale that could be administered remotely. , 2013, Parkinsonism & related disorders.

[48]  J. Wennberg,et al.  A regional prospective study of in-hospital mortality associated with coronary artery bypass grafting. The Northern New England Cardiovascular Disease Study Group. , 1991, JAMA.

[49]  Kevin O'Brien,et al.  EEG, HRV and Psychological Correlates while Playing Bejeweled II: A Randomized Controlled Study , 2009, Annual Review of Cybertherapy and Telemedicine.

[50]  H. Ehringer,et al.  Verteilung Von Noradrenalin Und Dopamin (3-Hydroxytyramin) Im Gehirn Des Menschen Und Ihr Verhalten Bei Erkrankungen Des Extrapyramidalen Systems , 2005, Klinische Wochenschrift.

[51]  C. Pollak,et al.  The role of actigraphy in the study of sleep and circadian rhythms. , 2003, Sleep.

[52]  Misha Pavel,et al.  A Statistical Characterization of the Finger Tapping Test: Modeling, Estimation, and Applications , 2015, IEEE Journal of Biomedical and Health Informatics.

[53]  A. Hung,et al.  Treatment of Parkinson’s Disease: What’s in the Non-dopaminergic Pipeline? , 2013, Neurotherapeutics.

[54]  Quincy J Almeida,et al.  Drivers with Parkinson's disease: who participates in research studies? , 2012, Parkinsonism & related disorders.

[55]  H. Chen,et al.  Physical activity and the risk of Parkinson disease , 2005, Neurology.

[56]  Kelly R Evenson,et al.  Physical activity and sedentary behavior patterns using accelerometry from a national sample of United States adults , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[57]  Felix Hernandez,et al.  A regional prospective study of in-hospital mortality associated with coronary artery bypass grafting. The Northern New England Cardiovascular Disease Study Group. , 1991 .

[58]  Eric A. Roy,et al.  Drivers with Parkinson’s disease: are the symptoms of PD associated with restricted driving practices? , 2013, Journal of Neurology.

[59]  L. Giancardo,et al.  Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing , 2015, Scientific Reports.

[60]  Terry D Ellis,et al.  Capturing Ambulatory Activity Decline in Parkinson's Disease , 2012, Journal of neurologic physical therapy : JNPT.

[61]  Daniel McDuff,et al.  Real-time inference of mental states from facial expressions and upper body gestures , 2011, Face and Gesture 2011.

[62]  Frank D. Graham,et al.  The World Crisis. , 1938 .

[63]  C Trenkwalder,et al.  Rapid eye movement sleep behavior disorder: devising controlled active treatment studies for symptomatic and neuroprotective therapy--a consensus statement from the International Rapid Eye Movement Sleep Behavior Disorder Study Group. , 2013, Sleep medicine.

[64]  Sebastiaan Overeem,et al.  Sleep benefit in Parkinson's disease: time to revive an enigma? , 2012, Journal of Parkinson's disease.

[65]  R. Roos,et al.  Fatigue in Parkinson's disease is not associated with reduced physical activity. , 1997, Parkinsonism & related disorders.

[66]  Bastiaan R Bloem,et al.  Evaluation of implementation of the ParkFit program: A multifaceted intervention aimed to promote physical activity in patients with Parkinson's disease. , 2014, Physiotherapy.

[67]  Juan Miguel García-Gómez,et al.  Fusing actigraphy signals for outpatient monitoring , 2015, Inf. Fusion.

[68]  D. Plante,et al.  Leg actigraphy to quantify periodic limb movements of sleep: a systematic review and meta-analysis. , 2014, Sleep medicine reviews.

[69]  George C. Cotzias,et al.  Modification of Parkinsonism--chronic treatment with L-dopa. , 1969, The New England journal of medicine.

[70]  B. Bloem,et al.  Quantitative wearable sensors for objective assessment of Parkinson's disease , 2013, Movement disorders : official journal of the Movement Disorder Society.

[71]  B. Bloem,et al.  Quantifying daily physical activity and determinants in sedentary patients with Parkinson's disease. , 2013, Parkinsonism & related disorders.

[72]  Sebastiaan Overeem,et al.  Subjectively impaired bed mobility in Parkinson disease affects sleep efficiency. , 2013, Sleep medicine.

[73]  J. Larsen,et al.  The influence of fatigue on health‐related quality of life in patients with Parkinson's disease , 2003, Acta neurologica Scandinavica.

[74]  Heinz Reichmann,et al.  Anhedonia, depression, and motor functioning in Parkinson's disease during treatment with pramipexole. , 2005, The Journal of neuropsychiatry and clinical neurosciences.

[75]  Louis-Philippe Morency,et al.  Context-based signal descriptors of heart-rate variability for anxiety assessment , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[76]  Visar Berisha,et al.  Tracking discourse complexity preceding Alzheimer's disease diagnosis: a case study comparing the press conferences of Presidents Ronald Reagan and George Herbert Walker Bush. , 2015, Journal of Alzheimer's disease : JAD.

[77]  A. Strafella,et al.  Palliative care for advanced Parkinson disease: an interdisciplinary clinic and new scale, the ESAS-PD. , 2012, Parkinsonism & related disorders.

[78]  Julien Penders,et al.  Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing? , 2015, IEEE Journal of Biomedical and Health Informatics.

[79]  Stefanos Zafeiriou,et al.  Infinite Hidden Conditional Random Fields for Human Behavior Analysis , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[80]  Li Gong,et al.  Tai Chi for Improvement of Motor Function, Balance and Gait in Parkinson's Disease: A Systematic Review and Meta-Analysis , 2014, PloS one.

[81]  Patrick Kenny,et al.  SimCoach: an intelligent virtual human system for providing healthcare information and support , 2011 .

[82]  G. Ebersbach,et al.  LSVT LOUD and LSVT BIG: Behavioral Treatment Programs for Speech and Body Movement in Parkinson Disease , 2012, Parkinson's disease.

[83]  Z. Mari,et al.  The past, present, and future of telemedicine for Parkinson's disease , 2014, Movement disorders : official journal of the Movement Disorder Society.

[84]  Louis-Philippe Morency,et al.  Toward crowdsourcing micro-level behavior annotations: the challenges of interface, training, and generalization , 2014, IUI.

[85]  Michael T. Bull,et al.  Randomized Controlled Clinical Trial of 'Virtual House Calls' for Parkinson Disease , 2013, JAMA neurology.

[86]  Misha Pavel,et al.  Design and Evaluation of an Interactive Exercise Coaching System for Older Adults: Lessons Learned , 2016, IEEE Journal of Biomedical and Health Informatics.

[87]  Jacki Liddle,et al.  Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle , 2014, JMIR mHealth and uHealth.

[88]  Pietro Balbi,et al.  The Beneficial Role of Intensive Exercise on Parkinson Disease Progression , 2013, American journal of physical medicine & rehabilitation.

[89]  J. Ahlskog Does vigorous exercise have a neuroprotective effect in Parkinson disease? , 2011, Neurology.

[90]  Roger L Albin,et al.  Imaging prodromal Parkinson disease: The Parkinson Associated Risk Syndrome Study , 2015, Neurology.

[91]  Quanzheng Li,et al.  Treadmill exercise elevates striatal dopamine D2 receptor binding potential in patients with early Parkinson’s disease , 2013, Neuroreport.

[92]  Hans-Peter Landolt,et al.  Sleep estimation from wrist activity in patients with major depression , 2000, Physiology & Behavior.

[93]  R. Fimmers,et al.  Autonomic dysfunction in 3414 Parkinson's disease patients enrolled in the German Network on Parkinson's disease (KNP e.V.): the effect of ageing , 2007, European journal of neurology.

[94]  Matthew S. Goodwin,et al.  iCalm: Wearable Sensor and Network Architecture for Wirelessly Communicating and Logging Autonomic Activity , 2010, IEEE Transactions on Information Technology in Biomedicine.

[95]  Reed W Hoyt,et al.  Total energy expenditure estimated using foot-ground contact pedometry. , 2004, Diabetes technology & therapeutics.

[96]  Charlotte Meindorfner,et al.  Driving in Parkinson's disease: Mobility, accidents, and sudden onset of sleep at the wheel , 2005, Movement disorders : official journal of the Movement Disorder Society.

[97]  Jessica K. Hodgins,et al.  Detecting Parkinsons' symptoms in uncontrolled home environments: A multiple instance learning approach , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[98]  K. Chaudhuri,et al.  The impact of non‐motor symptoms on health‐related quality of life of patients with Parkinson's disease , 2011, Movement disorders : official journal of the Movement Disorder Society.

[99]  Peter Robinson,et al.  3D Constrained Local Model for rigid and non-rigid facial tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[100]  Enzo Pasquale Scilingo,et al.  Wearable Monitoring for Mood Recognition in Bipolar Disorder Based on History-Dependent Long-Term Heart Rate Variability Analysis , 2014, IEEE Journal of Biomedical and Health Informatics.

[101]  Angelo Antonini,et al.  Management of impulse control disorders in Parkinson's disease: Controversies and future approaches , 2015, Movement disorders : official journal of the Movement Disorder Society.

[102]  Sebastiaan Overeem,et al.  Design and baseline characteristics of the ParkFit study, a randomized controlled trial evaluating the effectiveness of a multifaceted behavioral program to increase physical activity in Parkinson patients , 2010, BMC neurology.

[103]  D. Jennings,et al.  Imaging prodromal Parkinson disease , 2014, Neurology.

[104]  E. Young,et al.  Use of actigraphy for monitoring sleep and activity levels in patients with fibromyalgia and depression. , 2002, Journal of psychosomatic research.

[105]  B. Bloem,et al.  How might physical activity benefit patients with Parkinson disease? , 2011, Nature Reviews Neurology.

[106]  Albert A. Rizzo,et al.  An Intelligent Virtual Human System for Providing Healthcare Information and Support , 2011, MMVR.

[107]  John A. Redmond,et al.  A noninvasive handheld assistive device to accommodate essential tremor: A pilot study , 2014, Movement disorders : official journal of the Movement Disorder Society.

[108]  Bastiaan R Bloem,et al.  Nonmotor Symptoms in Nursing Home Residents with Parkinson's Disease: Prevalence and Effect on Quality of Life , 2013, Journal of the American Geriatrics Society.

[109]  K. Chaudhuri,et al.  Non-motor symptoms of Parkinson's disease: diagnosis and management , 2006, The Lancet Neurology.

[110]  Marianna Amboni,et al.  Depression, Apathy, Anhedonia, and Fatigue in Parkinson’s Disease , 2015 .

[111]  Paul Wicks,et al.  Virtual visits for Parkinson disease: A case series , 2014 .

[112]  Nir Giladi,et al.  Piloting the NPF data-driven quality improvement initiative. , 2010, Parkinsonism & related disorders.

[113]  Gammon M Earhart,et al.  Barriers to Exercise in People With Parkinson Disease , 2013, Physical Therapy.