Abstract
Introduction
Post -covid- 19 syndrome, or Long covid ( LC) refers to symptoms persi sting 12 weeks after
Covid-19 infection. LC comprises a wi de range of dysautonomia symptoms, including fatigue,
breathlessness, palpitations, dizziness, pain and brain fog. Thi s study tested the feasibili ty
and estimated the efficacy, of a Heart Rate Variability Biofeedback (HRV-B) technique via a
standardised slow diaphragmat ic breat hing programme in individuals with LC.
Methods
and Analysis
LC patients underwent a 4-week HRV-B intervention fo r 10 minutes twice daily for a total of 4
weeks using the Polar H10 ECG (Elect rocardiogram) chest strap and Elite H RV phone
application. Outcome measures C19- YRSm ( Yorkshire Rehabilitation Scale modified), EQ5D-
5L (Eur oQol 5 Dimensions) , Composit e Autonomic Symptom Score (COMPASS- 31), W HO
Disability Assessment Schedule (WHODAS) , and Root Mean Square of Successive Dif ferences
between heartbeat s ( RMSSD) using a Fit bit device were completed before and after t he
interven tion. The study was pre-registered at clinicaltrials.gov N CT0 5 2 286 65 .
Resul ts
13 participants (54% female, 46% mal e) completed th e study with high levels of data
complet eness and adherence. There was a stat ist ically significant improvement in C19YRS-m
( p=0.001), EQ5D Global Health Score (p=0.009) , CO M PASS-31 (p=0.007) , RMSSD (p=0.047)
and EHODAS (p=0.02). Q ualitative f eedback suggested participants were able to use it
independently, were sati sf ied with th e interv ention, and reported beneficial effects from th e
interven tion.
Conclusion
This i s the first study in the litera ture to report that HRV-B is a feasible inte rvention for LC
and seems to be potentially improvin g symptoms of LC and dysautonomia.
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Ethics and Dissemination
The study received ethical approval from Health Research Authority ( HR A) Leicester South
Research Et hics Commit tee (21/EM/0271).
Keywords
Post -covid- 19 condition, post-covid-19 syndrome, dysautonomia, aut onom ic dysfunct ion,
HRV biofeedback, sympathetic, parasympathetic, rehabilitation, technology
Article summary
Strengths and limitations of the study
• To our knowledge, this is the first study of HRV- B in long covid and dysautonomia and
has shown the feasibility of a novel technology- based intervention in a ho me setting.
• There was a statisticall y signif icant improvement in LC symptoms, functional ability,
quality of life and dysautonomia scor es.
• The stud y provides an estimation of efficacy which w ill determine th e sample size for
a larger controlled trial in LC and dysautonomia.
• The main limitation of this study i s the small sample size and uncontrolled design
which might not give us an accurate estimate of eff icacy.
• The sample was predominantly Caucasian participants, 54% of w hom were female.
• The take- up for HRV -B in those with a lack of experience in using digital technology
and t hose f rom less privileged backgrounds is unknown.
Introduction
Post -covid- 19 syndrome or Long covid ( LC) refers to persistent sympt oms 12 weeks af ter
SARS-COV2 infection and includes symptoms of physi cal f atigue, cognitive f atigue or “brain
f og”, breathlessness, pain and psychological distress. 1 2 An estimated 1.9 m illion p eople are
reported to be affected by LC in the UK alone. 3 A GP at an average sized practice in the UK
can expect to have 65 patients with Long covid. 4 The condition can be highly debilitating f or
some, particularly middle-aged individuals who were previously functioning at a high level
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and in demanding vocational ro les. 5 Many will experience signif icant disruption to
employment, social and caregiving roles, and participation in society.
Many LC symptoms such as palpitations, di zziness, fatigue, pain and breathlessness can be
explained by dysf unction of the Autonomic Nervous System ( ANS) or dysaut onomia. 6-10
Estimates of prevalence of dysautonomia in LC range from 2.5 to 67%. 8 10 11 Usually the ANS
can maint ain a finely tuned stat e of homeostasi s or mount an appropriate stress response
wher e necessar y.
10 However, in dysautonomia, there is episodic dysregulation in the ANS,
typically with sympathetic overdrive. Dysautonomia also plays a si gnif icant role in the
symptomology of many long-term conditions including mult iple sclerosi s, Parkinson’ s
disease, diabet es mellitus, fibromyalgia, chronic fat igue syndrome and migraine. 12
One way of est imating and measuring autonomic f unct ion is through heart rate variability
( HRV), as cardiac rate and rhythm are controlled largely by the ANS. A low HRV is associated
with sympathetic nervous system activation, also described as a state of ‘f ight or flight’.
Higher HRV corresponds with parasympathet ic nervous syst em act ivat ion and is believed to
reflect a state of rest and recovery. Lower HRV has been observed to be associated with
f atigue and pain sympt oms of chronic fatigue syndrome/myal gic encephalomyelitis ( ME/CFS)
and f ibromyalgia
13-15 , as well as other chronic physical and mental health pathologies
including asthma, anxiety and st ress. 13-17
When physiological parameters such as HRV are monito red in real-time with self-regulatio n
t echniques such as breat hing techniques t o increase parasympat hetic activity through vagus
nerve activation to in fluence the parameters, this is known as biofeedback.
18 19 To the best of
our knowledge, there have not yet been any studies of HRV-B in LC. How ever, HRV- B using
breathing techniques has been test ed in other chronic condit ions such as asthma 16 ,
depression 20 , fibromya lgia 15 and post -traumatic st ress 21 and a 2021 systematic review
summarises these comprehensively. 13 The optimal breath ing frequency to produce maximal
increase in HRV varies for each individual but on average is between 5.5 and 6 breat hs per
minute and is known as resonant breat hing.
16 22 23 Resonant breathing helps to restore
autonomic balance due to increased baroreflex gain and vagal activation. 16 22-24
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5
The aim of this study is to determine the feasibility and impact of a structured HRV-B regime
incorporat ing diaphragmatic breathing exerci se, on LC and dysautonomia symptoms.
Aims and objectives
The aim of this study was:
To assess the feasibility of a 4- w eek HRV-B structured breathing programm e in individuals
with LC.
The objectives include:
1. Do breat hing exercises t hrough HRV-B increase HRV amongst part icipant s with LC?
2. Are consumer grade monitors approp riate technology to use for HRV-B in the
domiciliary setting?
3. Does regular HRV-B have any effect on LC and dysaut onomia symptoms?
Methods
Study design
This was a phase 2 uncontrolled open-label feasibility study of a home technology- based
HRV- B in 15 individuals with LC. Participants were identif ied through the L eeds covid-19
Rehabili tation Service, based at Leeds Community Healthcare NHS Trust. The total study
period was 6 weeks f or each participant. The inclusion criteria were: age ≥ 18 year s,
conf irmed LC diagnosis as per the NI CE criteria for post -covid syndrome
1 , self-rating of at
least ‘moderate’ or ’severe’ on dysautonomia questions of palp itations or dizziness on the
C19-YRSm 25 ; and abnormal NASA Lean Test ( N LT) 26-28 (HR increase of 30bpm or ≥120bpm,
OR, BP decrease of 20mmHg systolic or 10 mmHg diastolic in the first 3 minutes of standing).
NLT i s an accepted measure of cardiovascular instability and is conducted at initial
assessment clinic for all LC service users in the Leeds covid reha bilita tion se rvice. The patient
lies down for 2 to 5 minu tes prior to the test with HR and BP taken each minute to calculate
average supine values. They then stand with heels 6 inches from a wall and lean back against
it w ith HR and BP taken each minute for 10 min. Ab normal results (as described above) are
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demonstrated t hrough orthostat ic hypot ension or tachycardia on standing which are
hallmarks of dysautonomia and therefore objectively quantifiable.
Exclusion criteria were inability to use the wearable o r smartphone app technology, cognitive
dif ficulties or mental health disorders causing inability to consent, cardiac arrhythmia,
unst able respiratory disease (except asthma management )
Equipm ent and intervention
To collect medium- term HRV data, participants wore a Fitbit Charge 5 smartwatch for a total
of 6 w eeks. The HRV-B element was conducted using a Polar H10 chest strap for 10 minutes
twice daily for a total of 4 weeks (Figure 1). This connected via Bluetoo th to the Elite HRV
smartphone app which was downloaded t o participants’ phones. Participants aimed to
increase their HRV score as displayed in Elite HRV in real time using a diaphragmatic
breathing technique ( as explained in the protocol paper
29 ). Omron M2 blo od pressure
monitor (endorsed by the British Hypertension Society) was used to conduct NLT in clinic and
t he adapted Autonomic Profile ( aAP) 30 .
Insert Fig 1 about here
Participants were issued with a Fitbit Charge 5 device and smartphone application. They
wore the Fitbit all the time during the 6 week period. This device collected nightly HRV data
along with other m easures of sleep.
They al so received a Polar H10 chest strap which was connected to the Elite HRV smartphone
app f or the HRV-B element o f the intervention. This started after an initial 1 week baseline
period in which HRV data was collected only by Fitbit to allow a baseline o f HRV data for
comparison to post-interven tion. The breathing intervention lasted for 10 minutes tw ice
daily for a total of 6 weeks.
Measures
Th e primar y o utcome measur e w as t he C19YRSm, a self-reported pat ient-report ed outcome
measure to assess LC symptom severity, functional disability, and overall h ealth status.
Secon d ary outcome m ea s ur es
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Fitbit Data measures:
These included root mean square of successive differences between heartbeats (RMSSD),
sleeping resting heart rate, non- rapid eye movement sleep heart rate (NREM HR), overall
sleep score, composition score, revitalisation score, sleep duration score, deep sleep score
Patient Reported Outcome Measures:
• Composite Aut onomic Symptom Scor e (COMPASS 31)
• World Health Organisat ion Disability Assessment Schedule ( W HO DAS)
• EQ5D health related quality of l if e assessment (EQ-5D-5L)
• NASA Lean Test ( NLT) – heart rate an d blood pressure data
• adapted Autonomic Profile (aAP) – heart rate and b lood pressure data
A summary of the schedule for the co mpletion of ou tcome measures is sho w n in Table 1.
Table 1. Out come measures summary schedule
I n i t i a l
assessment
Clinic
Pre HRV-B
phase
(1 week)
HRV-B
phase
(4 weeks)
Post HRV-B
phase
(1 week)
A utonomic screening (NLT)
√ √
A utonomic function
(COM PASS 31 )
√ √
H ome autonomic test (aAP)
√ √
Fitbit wri st strap
H RV, sleep data
√ √ daily √
LC specific PROM
C19-YRSm
√ √ weekly √
WH O D A S
√ √
Q uality of life
(E Q5D - 5L)
√ √
Anal ysi s
Data from questionnaires were scored using standardised procedures f or each measure. Data
f rom th e Fitbit was downloaded securely, cleaned and analysed using Python statistical
platform. 2 participants were excluded f rom analysis, therefore a total of 1 3 individual
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datasets were analysed. Participant 6 was not able to complete the f ull 6 week study period
due to unrelated health issues. Partici pant 12 was unw ell during the final assessment w ith an
acut e respiratory infect ion. This was a cause extraneous t o the study process and
encompassed by our exclusion criteria therefore th is participant was removed from data
analysis. To explore the impact of the intervention, pre and post measures were compared
on a within-participant basis using Wilcoxon signed rank tests. The pre-HRV phase was the
baseline pre int ervention period. The post-HRV-B phase data was used for post -intervention
ef fect. Fitbit data and Elite HRV data for HRV was analysed during the HRV-B intervention
phase and compared t o pre-HRV - B data .A formal sample size cal culation was not required
f or this feasibility study as it did not mimic a definitive randomised trial and aim was not to
measure effect size.
31
Results
15 participants were enrolled in the study, out of which 13 completed the study and their
data was included for the final analysi s [ Table 2] . Table 3 shows the results of the N LT for the
13 participants. There was a 92% compliance rate with th e breath ing intervention as a total
of 720 sessions were completed over the 4-week period.
Table 2. Participant demographics
No Age
range Sex Ethnicity LC Duration
(months) Comorbidities Medication Predominant LC
symptoms
Study
completion
1 4 0 -5 0 M W hi t e 1 3 A n x i e t y
D e pr e s s i on
Amitri p ty line
Code i ne
S u m atri p ta n
L o ra tad ine
F atigue C om plete d
2 5 0- 6 0 F W h ite 1 5 Oste oarthri tis HRT
Na p roxe n
Brea thl e ssne ss
Fa t i gu e
He adache
Co m p l e t e d
3 4 0 -5 0 M W hi t e 1 0 G as t r o e s o p h a ge al
refl ux
Om eprazole F atigue
Brea thl e ssne ss
Co m p l e t e d
4 4 0 -5 0 F M i x ed 2 0 A d e n o my o s i s
Ha yf eve r
P a i n
Fa t i gu e
Brea thl e ssne ss
Co m p l e t e d
5 5 0 -6 0 M W hi t e 1 4 G as t r o e s o p h a ge al
refl ux
Asthma
S kin d i sorder
L ansopraz ole
In h a l e rs
Li mo cy c l in e
Brea thl e ssne ss C om plete d
6 6 0- 7 0 F W h ite 1 2 Oste oarthri tis Nil F atigue
Wi t h dr e w
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Table 3. Results of baseline NASA Lean test
Par ti cipant
no.
Signi ficant
postural hear t
r at e r is e ?
He ar t ra t e
diff er ence (beat s
per minut e)
Sign ifican t
pos tural bl ood
pressure
change?
Blood pres sure
diff er ence
(mmHg )
1 Y +36 N +27 systolic
+26 di astoli c
2 Y +37 N -11 systol ic
+7 dia s tolic
3 Y +36 Y -8 sys t oli c
+3 dia s tolic
4 Y +38 Y -40 systolic
-8 diastol ic
5 Y +35 Y -28 systolic
-18 diastolic
7 Y +56 N - 1 s y s t o l i c
+ 12 dias tol ic
8 Y +35 N - 2 s y s t o l i c
+14 di astoli c
9 Y +34 Y -34 systolic
+9 dia s tolic
10 Y +33 N - 5 s y s t o l i c
7 2 0 -3 0 F W hi t e 7 H ay f e v e r B i s o p r ol o l B r e at h l es s n e s s
Pain
Co m p l e t e d
8 3 0- 4 0 F W h ite 2 5 Anxiety/ d e p r e s sio n Cita lopram F atigue
Brea thl e ssne ss
Sl ee p
dist u rba nce
Co m p l e t e d
9 3 0 -4 0 M W hi t e 2 5 A n x i e t y /d ep r es s i o n
Cita lopram F atigue C om plete d
10 4 0- 5 0 M W h ite
B rit ish
1 5 Nil Nil F atigue C om plete d
11 1 0- 2 0 F W h ite 1 2 Nil Ora l co ntrace p ti o n F atigue
Na u se a
Brea thl e ssne ss
Co m p l e t e d
12 2 0- 3 0 F W h ite
2 0 Nil Amitri p ty line F atigue Exc l uded
13 4 0- 5 0 F 1 1 Crohn ’s d isea s e
Migraine
ADHD
Aza thi op ri n e
Amitri p ty line
L i sdex am p heta mi n
e
Iva b ra dine
Palp i ta tions
Brea thl e ssne ss
Co m p l e t e d
1 4 40 - 50 M Wh i t e 17
Asthma In h a l e rs Altere d tas te
Fa t i gu e
Altere d sm ell
Co m p l e t e d
15 6 0- 7 0 F W h ite 7 Hy p ot h y ro id i sm
H o dgk i ns
Oste op oro s i s
Iva b ra dine
Th yr o xi n e
Anastra zole
A l e n d r oni c aci d
Aspirin
Fa t i gu e
Brea thl e ssne ss
Cough
Co m p l e t e d
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+7 dia s tolic
11 Y +47 N U n a v a i l a b l e
13 Y +31 N - 4 s y s t o l i c
+9 dia s tolic
14 N +26 Y -21 systolic
-14 diastolic
15 Y +37 Y +5 systolic
-19 diastolic
St atist ically significant improvements were noted in Long Covid specif ic out come measure
C19YRS-m for symptom severity, functional ability, overall h ealth score as well as total
“other” symptoms, CO MPASS31, and EQ 5D-5L. The effect size for C19-YRSm was large.
Table 4. Change and eff ect size for the pat ient-report ed outcome measure scores
M e a n ( S D ) a t
baseline pre
HRV-B phase
Mean SD at
post HRV-B
phase
Change
(compared
to
baseline)
P value for
paired
pre/port
diff er ence
Effect Size
(Cohen’s d)
C19YRS- m
symptom
seve ri ty
19.54(4.37) 13.46(6.54)
-5 0.0010 1.09316
C19YRS- m
functional abi lity
7.615(3.885) 5.231(4.902) -2 0.0015 0.539022
C19YRS- m global
health score
3.923(1.553) 5.007(1.801) +1 0.0137 0.644633
C19YRS- m total
“other” LC
symptoms
6.462(4.502) 4.000(4.690) -2 0.0059 0.535571
CO MPASS-31
38.55(18.10) 32.49(19.59) -7.6 0.0078 0.047074
EQ 5D-5L global
health score
46.31(14.07) 56.69(19.86) +10 0.0083 0.007391
WH O D A S
disabi lity scale
36.26(18.41) 29.38(20.22) -6.9 0.0215 2.029452
C 19 Y R S S ympto m s S everity – ran ge fro m 0- 3 0 , hi gher score = g re a ter se v e rity
C 19 Y R S fun c tio n a l di s a b i l ity – range fro m 0-15, h i g h e r score = g re a ter d isa b ility
C 1 9Y RS T ot a l ‘ o t h e r ’ s y m pt o m s – t o t a l of 4 0 ot h e r m i s c e ll a ne ou s s y m p t om s po s s i bl e
C 19 yrs g lo b a l h e a lt h sc ore – ran ge fro m 0 - 10 - , higher score = greate r to ta l heal th p e rceptio n
COM P ASS - 31 – range from 1 – 1 00, greater score = hi gh e r a u to n o m i c sy mpto m bu rden
E Q5 D-L global health score – greater score = hi gh e r g l o bal h e a lth perce p tion
There was a signif icant dif ference in RMSSD, a HRV measure ref lect ing parasympat hetic
activity 13 , between preHRV-B and post HRV-B phases (Table 5) .
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Table 5. HRV data fro m Fitbit device
M e a n ( S D ) a t
baseline pre
HRV-B phase
Mean SD at
post HRV-B
phase
P val ue for paired
difference
between post HRV -
B and baseline
Effect Size
(Cohen’s d)
Fitbit RM SSD
Summaries
34.19 (19.65) 40.94 (29.36) 0.0479*
0.270202
Fitbit Sleeping Resting
HR
67.84 (6.555) 67.70 (5.932) 0.8984
0.022395
Fitbit NREM HR
66.59 (7.606) 66.15 (7.124) 0.5417 0.05971
Fitbit O verall Sleep
Score
76.78 (4.756) 76.32 (5.083) 0.8477
0.093454
Fitbit Composi tion
Score
20.08 (1.288) 19.70 (1.050) 0.4143 0.323393
Fitbit Revitalisation
Score
19.16 (1.878) 18.75 (2.559) 0.3394 0.182671
Fitbit Sleep D uration
Score
37.53 (3.266) 37.87 (2.932) 0.6848 0.109554
Fitbit D eep Sleep
Score
72.10 (22.14) 69.20 (16.64) 0.1909 0.14808
Ro ot Mea n Squar e of S ucc e s s i v e Di ffer enc e s bet we e n heart beats ( RM S SD)
N o n- Ra p i d Eye M o ve m e nt H eart R a t e ( NR EM H R)
Participants were asked how they felt about the technology and its eff ect on their LC
symptoms. Some of the patient quotes are summarised in Table 6.
Table 6. Participant feedback upon st udy completion
Participant No. Qualitative Feedback Highlights
1 “S le e p is im pro ved ”
“I’ m E n j o y i ng th e exerc is e , it ’ s e a sier a nd mor e i nst inct i v e ov e r ti m e ”
2 “Wou l d c ontin ue d o in g the br ea th i ng ex erc i s e s ”
“F eel mo r e r el ax e d”
“Hel p ed me g e t to sl e e p at ni g ht”
“Wou l d do t h e e x e r c ise s a t w o r k wh e n m y heart was g o in g”
“He lp s to c ont ro l my p a nic”
3 “T ech no l o g y was u ser friendly”
“I m p rov es s l ee p ”
4 “Huge im pro ve m e nt i n fat i g ue le vels , no t g ot the s a me lev e l s of f a t igu e a ny m o r e ”
“No l on g er cr as hin g ”
“Able to st a rt tr y i ng t o go to w o r k ”
“T h e b r ea thing ex erc i s e s m a k e me feel li k e I c a n c op e w ith my si tu a ti on an d gi ve m e
c on fi de nc e in addre ss ing m y f ati gue”
5 “Hel p s w he n I get palpi ta t i o ns or if I’ m s tr u g g l ing t o sle e p”
“I do the breath ing e x e rc is es wh e n I’m g e tti n g s tre s se d ”
“I do n’ t w ak e u p s tre ss ed as mu c h an ym o r e ” .
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“ I w il l carr y on doi ng th e breat hing ex ercis es, even if I get b et te r , I w ill al wa ys do t he m ”
7 “E q uipm ent w a s s tr ai g htf orw ard t o u se”
“I w il l kee p do i ng t he b re at hi n g ex e rc is e s af te rwards”
8 “I feel a lot bett er, my fat i g ue is b e tt er, I ’m not f alling a sle e p as m uch, my s l e ep i ng p att er n s
has i m pr o ved”
“I’ m f eeling a l ot m or e pos iti ve, I’ m a bl e to enj oy wor k an d d o m y jo b again”
“I feel li ke I' m bac k to w hat I w as p re co vid”
10 “I feel mas si vel y b e t ter, it h elps m e m anage m y tri gger of s tre ss” .
“Physic ally a lo t bet ter now, I ca n thi nk abo ut do ing e x e r cis e ag a in”
11 “I do h a v e so m e more ener gy”
“W h e n I d o a cti v ity , I am ab le to d o i t f o r a l on g e r pe r i od o f t im e ”
13 “It d i d hel p m e get t o sleep q uic ke r at n i gh t”
14 “ E q uipm ent w a s ea s y to us e ”
“It definite l y he l ps a t n ight ti me, h el p e d m e s l e ep”
Discussion
This study demonstrat ed that an HRV -B intervention using diaphragmat ic breathing,
smartphone HRV application and an ECG chest strap was feasible for participants with LC in a
home-based setting. This study represents the first use of HRV-B with diap hragmatic
breathing modulation in a LC popu lation. The study adds weight to the notion that
dysautonomia plays a critical role in LC symptom generation and interventions to target this
may prove beneficial. It should be noted that unlike many potential LC interventions,
diaphragmatic breathing is a non-pharmacological treatment, well tolerated and scalable
with app-based technologies. The results of this study support a further controlled trial in LC
to explore its actual ef ficacy on symptoms, particularly dysautonomia.
Other st udies of HRV- B as an adjunct in chronic disease management have found similar
positive results amongst other conditions.
13 In f ibro myalgia, Hassett et al d emonstrated
significant improvement in fib romyalgia physi cal functioning scores w hich was evident at 3
months follow up (p -0.0022). 15 As demonstrated by the qualitative f eedback, participants
were satisfied with the HRV- B practice which is comparable to other studies. 13 There are
many indices for capturing HRV and most significant improvement was t he RMSSD met ric,
reflecting greater parasympathetic activity.
13 This w as al so demonst rated by Shumann et al
albeit in a different population of veterans with post-traumatic stress diso rder, although no
p-values were pr ovided for compar ison.
21
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13
All participants fed back that they appreciated the concept of the technology and particularly
the N ASA Lean Test 27 and the adap ted Autonomic Profile (aAP) 30 assessment tools for
dysautonomia. They f ound the tools easy t o use and empowering. O t her authors have not ed
that testing for dysautonomia should be more accessible and holistic. 10 The aAP is bot h a
holistic and comprehensive test assessing different triggers of dysautonomia including
position, meal, time of day and exercise. Thi s i s the first clinical research study featuring its
use and we would encourage its use i n future research along with the NASA lean test for
monitoring the condition and response to interven tions.
HRV data collected in th is study was diverse and rich. The Elite HRV data w as collected only
during the 10 minute b reathing in tervention. The Fitbit collected data during sleep offered a
reasonable longer-term measure of HRV. There was a significant improvement in RMSSD
f rom th e Fitbit data, however th e effect size was not as pronounced as clinical outcome
measures. The reason for this may be due to the fact that HRV is impacted by many factors
including nutrition, sleep, exercise and menstrual periods in f emales.
32-34 We d id n ot contr ol
f or these factors and future trials should attemp t to contro l fo r them to truly quantif y ef fect
of HRV-B on LC and dysaut onomia sympt oms.
The stud y had several limitations. It was a small open-label uncontro lled feasibility study, and
we need to bear caution abou t the generalisability of study f indings. The study has how ever
showed that the technology can be used in a home sett ing independently by individuals with
LC. The changes in physiologi cal parameters did not match the clinical outcome measures in
terms of signif icance values and eff ect sizes. Thi s can be explained by the W orld Health
Organi sation’ s International Classification of Functioning Disability and Health (ICF)
f ramework which su ggest s non-linear changes in dif ferent domains of the health condition
( body function, functional activities and quality of life). The intervention d uration could be
argued to be short t o have a reasonable effect on autonomic imbalance and future research
could explore the relationship between dose (duration) and response. Finally, we did not
undertake a long follow-u p after stopping the use of technology. This needs to be explored in
future la rger scale studies.
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14
In summary, a diaphragmatic breathing technique using HRV-B is feasible to be used
independently in a home setting by individuals with LC and the interventio n seems to have a
potential effect on impro ving LC symptoms, particularly those related to d ysautonomia.
Ethics and dissemination
The stud y received ethical approval from Health Research Authorit y ( HR A) Leicester Sout h
Research Et hics Commit tee (21/EM/0271).
Conflicts of interest
Manoj Sivan is an advisor to the World Health O rganisation ( W HO ) for the long covid policy in
Europe.
Acknowledgements
The authors would like to thank all study participants and the Leeds LC Advisory G roup (PAG )
for the ir invo lvemen t in a ll stages of this study.
Patient and Public Involvement
Members of the PAG provided input to analyse and develop the research aims, objectives,
and questions, ensuring these align with the key research priorities of those with LC and
dysautonomia. All advisory group members have lived experience of LC. The PAG met
quarterly to review progress, ensure the research continues to answ er relevant issues and
that find ings can inf orm LC care.
Funding statement
This research was support ed by IAA EPSRC grant [Ref 112538] w it h the Universit y of Leeds as
t he sponsor organi sation and the Leeds Communit y Healthcare NHS Trust Covid
Rehabili tation service as the research site organisation.
Author contributions
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preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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15
MS and AC conceptualised t he st udy. MS, AC and RJ O C were awarded EPSRC IAA pump-
priming grant f or the f easibility study with MS as the Principal Investigator. All au thors
contributed to the study design and obtained eth ical approval. JC and NI perf ormed the initial
statistical anal y si s independently and verified the results. JC w rote an initia l draft o f the
paper by adapting the grant proposal, the ethics protocol, and the protocol paper. A ll
authors approved the final manuscript. MS is the corresponding author and guarantor.
Figure legends
Fig 1. Heart Rate Variab ility Bio feedb ack (HRV-B) using a breathing techniq ue and chest strap
f or real t ime HRV monitoring. Polar H 10 picture from Wikimedia commons, reprint ed under
CC BY-SA 3.0 license. EliteHRV screenshot from W ikimedia commons, reprinted under CC BY-
SA 4.0 license.
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